Monitoring Framework
For
Global Climate Change Alliance – Climate
Change Adaptation Program
CCAP - Program Coordination Unit
Council for Renewable Natural Resources
Research of Bhutan Secretariat
Ministry of Agriculture & Forests
July 2014
Table of Contents
Abbreviations ...................................................................................................................................... 4
1.
Introduction ................................................................................................................................ 6
2.
Background................................................................................................................................. 7
3.
Implementation of CC-Activities on the Ground ....................................................................... 8
4.
Details of the Expected Outputs ............................................................................................... 10
Output 1: Green Livestock Farming Practices Promoted ............................................................. 11
Output 2: Efficient Irrigation Systems for Horticulture Cash Cropping Established ................... 12
Output 3: Sloping Land Management for Horticulture and Field Crops Production practices
adopted .......................................................................................................................................... 12
Output 4: Increased Organic Agriculture Production ................................................................... 13
Output 5 : Reduction of Post Harvest Crop Losses ...................................................................... 13
Output 6: Human Wildlife Conflicts Mitigation Measures Adopted ............................................ 14
Output 7: Increased Paddy Field Area under Efficient Irrigation Systems ................................... 14
Output 8: Watershed Management Plans for Kurichu River Basin developed ............................. 15
Output 9: Afforestation and Reforestation in Barren and Degraded Lands ................................. 15
Output 10: National Forest Inventory (NFI) Database Established .............................................. 16
Output 11: Increased On-Farm Conservation and Sustainable Utilization of Agro-Biodiversity 16
Output 12: Coordination and Planning Services for CCA ............................................................ 17
Output 13: Enhanced Biodiversity Information through studies & baselines.............................. 17
Output 14: Strengthened Regulatory and Quarantine System ...................................................... 18
Output 15: National Food Testing Laboratory (NFTL) made Fully Functional to Regulate
Genetic Modified Organism (GMO) ............................................................................................ 18
Output 16: Gathering and Dissemination of Climate Change Information .................................. 19
Output 17: Policy / Strategic Research Coordinated & Conducted (CC Impact/Adaptation) ...... 19
Output 18: Climate Smart Initiatives Streamlined & Technologies Delivered............................. 20
5.
Monitoring Framework for CC Adaptation Program ............................................................... 20
6.
Result Based Management – FYP’s Monitoring Tool ............................................................. 21
6.1 The Objective of Monitoring of CC Projects .......................................................................... 22
6.2 The Monitoring Roles ............................................................................................................. 22

Primary Roles and Responsibilities................................................................................... 23

Basis for Monitoring ......................................................................................................... 23

Progress Data Collection, Verification and Reporting ...................................................... 23

Progress Report and Data Analysis ................................................................................... 23

Progress Review and Feedback Mechanisms .................................................................... 24
Annexure 1: Indicator Description for DoL Activities ..................................................................... 35
Annexure 2: Indicator Description for DoA Activities ..................................................................... 43
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Annexure 3: Indicator Description for DoFPS Activities ................................................................. 55
Annexure 4: Indicator Description for BAFRA Activities ............................................................... 70
Annexure 5: Indicator description for NBC activities....................................................................... 75
Annexure 6: Indicator description for PPD activities ....................................................................... 82
Annexure 7: Indicator description for ICS activities......................................................................... 85
List of tables
Table 1: Concepts & Definitions of Results ...................................................................................... 22
Table 2: Programme Result Matrix (Output Level) .......................................................................... 25
Table 3: The standard Annual Work-plan & Budget Format ............................................................ 29
Table 4: Standard Progress Reporting Format .................................................................................. 29
Table 5: Format for Tracking M&E Accomplishments at output level ............................................ 30
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Abbreviations
AWPB
BAFRA
BTFEC
CC
CCAP
CCIS
CoRRB
CP
CY
DAMC
DoA
DoFPS
DoL
DYT
EFYP
EU
FA
FI
FP
FYP
GCCA
GHG
GMO
GNHC
GYT
ICS
IEC
KPIs
LCMP
LFA
LUPP
M&E
MF
MoAF
NAPA
NFI
NFTL
NMES
PCU
PGFRA
PLAMS
PPD
RBM
RGoB
RNR
S&G
SAPA
SAPA -TC
SAPA-STC
Annual Work Plan and Budget
Bhutan Agriculture and Food Regulatory Authority
Bhutan Trust Fund for Environmental Conservation
Climate change
Climate Change Adaptation Program
Climate Change Information System
Council for RNR Research for Bhutan
Community Participation
Current Year
Department of Agricultural Marketing & Cooperatives
Department of Agriculture
Department of Forest and Park Services
Department of Livestock
Dzongkhag Yargay Tshogdue (Dzongkhag Development Committee)
Eleventh Four Year Plan
European Union
Financing Agreement
Focal Institution
Focal Person
Five Year Plan
Global Climate Change Alliance
Green House Gas
Genetic Modified Organism
Gross National Happiness Commission
Gewog Yargay Tshogchung (Gewog Development Committee)
Information and Communication Services
Information Education Communication
Key Performance Indicators
Land Cover Mapping Project
Logical Framework Approach
Land Use Planning Project
Monitoring & Evaluation System
Monitoring Framework
Ministry of Agriculture and Forestry
National Adaptation Programme of Action
National Forest Inventory
National Food Testing Laboratory
National Monitoring and Evaluation System
Programme Coordination Unit
Plant Genetic Resources for Food & Agriculture
Planning and Monitoring System
Policy and Planning Division
Results-Based Management
Royal Government of Bhutan
Renewable Natural Resources
Strategy & Guidelines
Sector Adaptation Plan of Action
SAPA-Technical Committee
SAPA- Scientific Technical Committee
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SKRAs
SRF
TSMD
WS
Sectoral Key Result Areas
State or Government Reserved Forest
Technology Screening and Monitoring Division (under CoRRB)
Watershed
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1. Introduction
Bhutan has secured an assistance package from the European Union (EU) supported Global Climate
Change Alliance (GCCA) programme for response, readiness and resilience to the effects of climate
change (CC). The support is for the Climate Change Adaptation Program (CCAP), for the
Renewable Natural Resources (RNR) sector, which is implemented by Council for RNR research of
Bhutan (CoRRB) Secretariat in a sector-support model. Through this assistance the RNR sector
will enhance resilience of rural households in the critical watershed (Kurichu River Basin to start
with) and ensure readiness to effects of climate change.
In order to be prepared for the effect of climate change, the Ministry of Agriculture and Forests
(MoAF) has developed the RNR Sector Adaptation Plan of Action (SAPA) which will be the key
strategic document for mainstreaming climate change into the RNR sector 11th Five Year Plan
(FYP) and to guide implementation of CC adaptation initiatives at local level.
As per the Financing Agreement (FA) between the Royal Government of Bhutan (RGoB) and the
EU, signed in November 2012, the flow of assistance (disbursement of fixed & variable tranches),
will be based on the following conditions.
i.
ii
iii
Bhutan will maintain a credible and relevant stability oriented macro economic
framework;
Satisfactory progress in the implementation of the public financial management
reform plan; and
Satisfactory progress towards making the RNR Sector climate change resilient:
Mainstreaming climate change adaptation into the RNR Sector and implementation
of climate change adaptation measures in the sector.
One of the specific conditions for the release is to ensure CC Adaptation Monitoring System, by
way of developing the monitoring framework; and improvement of the RNR statistical systems for
efficiency. Monitoring itself is the ongoing process by which stakeholders obtain regular feedback
on the progress being made towards achieving their goals and objectives. While the establishment
of CC Information System is being initiated, monitoring is in principle agreed to be done using
Planning and Monitoring System (PLAMS) of the National Monitoring and Evaluation System
(NMES) promulgated by Gross National Happiness Commission (GNHC).
The Monitoring Framework [MF], more popularly known as Design & Monitoring Framework
[DMF], is a results-based tool for analyzing, conceptualizing, designing, implementing, monitoring,
and evaluating projects.
The Purpose of the MF is to facilitate the stakeholders and donors the process of analyzing,
conceptualizing, and designing a development intervention that builds on beneficiary participation
& ownership and delivers desired results. It makes development interventions focus on achievable
and measurable results through performance targets and indicators and it draws attention to the risks
that projects may face during implementation.
More specifically the MF communicates:
i)
how the CCAP will achieve results by converting a series of inputs into a defined set of
outputs that are expected to achieve a desired development result or outcome, and
contribute to a broader sector or sub-sector impact;
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ii)
time-bound and quantifiable indicators and targets that allow the project to be monitored
throughout implementation and evaluated subsequently;
iii)
identified project risks that may adversely affect achievement of desired results and
appropriate mitigation measures; and
iv)
specific assumptions that must remain valid for the project to succeed.
2. Background
The RNR SAPA serves as the strategic plan for mainstreaming CC adaptation actions into the RNR
11th FYP and also concurs with the objectives of the Bhutan National Adaptation Programme of
Action (NAPA) 2012. The SAPA emphasises the need for developing an efficient Monitoring &
Evaluation (M&E) and RNR statistical system to allow reliable data collection and processing.
Currently, basic data to assess impacts of CC on agriculture, food security, water resources, forests
and biodiversity are poorly documented and inadequate to draw conclusions for CC analysis and
developing proper adaptation measures.
The national capacity in terms of institutional, infrastructure, human, and technical capacity in
dealing with CC and its effects on forest and biological diversity, food security and water resources
is under development. However, in general terms, we know very little on impacts of CC on the
RNR sector at all levels making it difficult to enhance reliable awareness campaigns and education
on impacts of CC.
The specific areas of capacity that need to be addressed include research and assessment,
monitoring, extension and training, and policy development. Concerted efforts must be made into
educating the people on the impacts of CC on agriculture and food security, water resources, forest
and biodiversity.
Subject to the outcome of several studies, baselines surveys and the impact assessments that
CoRRB-S has included in the work-plan; subsequent recommendation will highlight specific areas
to tackle in terms of CC readiness and actions thereof.
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3. Implementation of CC-Activities on the Ground
3.1 Program Focus Area
The selection criteria, for a pilot water-basin, are based on level of poverty, status of community
resilience and need for climate change adaptation initiative in the dzongkhags across all major
watersheds of Bhutan. Kurichu River Basin (KRB) has been identified for implementing the CCAP
support; and consequently Pemagatshel, Mongar, Lhuentse and Zhemgang Dzongkhags, which fall
within the KRB , will be the immediate project beneficiary Dzongkhags.
Figure 1: Map showing CCAP covered Kurichu River-Basin with poverty % legend
The level of poverty ( as in the legend for Figure 1) is based on the Poverty Assessment Report
(PAR-2012); which has been measured using the parameters like literacy rate, health conditions,
medical facilities, water & sanitation, road infrastructure & bridges, commerce, transport &
communication and water supply, in addition to consumption and availability of food.
The PAR 2012 established the total poverty line at Nu. 1,704.84 per person per month. Poverty in
rural areas (16.7%) is significantly higher than urban areas (1.8%). Accordingly poverty rates are
observed to be high in Dagana, Samtse, Lhuentse, Pema Gatshel, Zhemgang and remoter parts of
Monger Dzongkhags.
3.2 Stakeholders of the CCAP
The CCAP is a sector support program. Its interventions go to four Dzongkhags to support climate
change adaptation activities implemented through Gewogs. The interventions are direct sub-sectoral
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activities (in agriculture, livestock and forestry sub-sectors), and support services, handled by the
departments and non-department agencies at the centre. The budgetary resources therefore are
routed through the departments, who finance the activities to be implemented in dzongkhags /
gewogs as deposit work. Its main implementing partners are the four departments, which are
Department of Agriculture, Department of Livestock, Department of Forests and Park Services and
Department of Agricultural Marketing & Cooperatives; and six non departmental organizations like
Council for RNR Research of Bhutan – Secretariat, Bhutan Agriculture and Food Regulatory
Authority, Information & Communication Services, National Biodiversity Centre, Policy &
Planning Division and Rural Development Training Centre. These implementing partners are the
focal institutions (FI). Each of these FIs has nominated focal persons (FP) for implementations of
the CCAP activities. The Program Coordination Unit (PCU) housed at the CoRRB Secretariat is the
coordinating agency for climate change initiatives, and will spearhead to coordinate with all
stakeholders to facilitate the implementation of the RNR SAPA. While the sector specific actions
under the RNR SAPA will be implemented by the relevant departments/agencies, relevant cross
sectoral actions like for instance awareness campaigns will be implemented by the CoRRB
Secretariat.
The role of Dzongkhags will be the coordination of implementation of adaptation activities for their
respective Dzongkhags and to ensure that implementation is strictly within the purview of the work
plans; and also to ensure timely progress reporting to the Programme Coordination Unit (PCU)
through their allied central agencies. The role of ten implementation partners or stakeholders at the
centre is to coordinate respective sector plans, to ensure integration of respective sector plan into the
national M&E system and timely update of Planning and Monitoring System (PLAMS), to ensure
timely implementation of the respective sector plans and to ensure integration of the GCCA
allocation into respective 11th FYP.
In order to streamline the entire process of integration into 11th Five Year Plan (EFYP) and
stakeholder engagement for implementation, more than 40 officials from central agencies,
Dzongkhag RNR sector heads and planning officers from the four Dzongkhags attended a four-days
planning workshop on the CCAP programme in Mongar from September 9 - 13, 2013. The
objective of the participatory meeting was to finalize priority adaptation action areas for the natural
resource sectors, identify priority adaptation activities in the project beneficiary dzongkhags, and
define resource allocation by sub-sector and dzongkhags.
Departments and agencies under the RNR sub-sectors: Forests, livestock and agriculture will
implement CC-activities in the selected Kurichu River Basin; and Pemagatshel, Mongar, Lhuentse
and Zhemgang will be the direct project beneficiary districts. In this context water, biodiversity and
food security are considered as cross-cutting issues that have to be taken into account and
mainstreamed in the planning and implementation of all activities.
CoRRB will conduct baseline surveys covering livestock, agriculture and forestry in Kurichu River
Basin which will be the first set of data for Climate Change Information System (CCIS); and Policy
and Planning Division (PPD) will strengthen RNR Policies and Legislations through formulation of
a RNR- Disaster Preparedness and Response Strategy. The section 4 below provides the details of
major planned activities and expected outputs.
3.3 Community participation in CCAP
Community Participation (CP), essentially, seeks to engage local communities in development
projects. In Bhutan, ever-since the introduction of Dzongkhag Yargay Tshogdue (District
Development Committee or DYT) in 1981 and Gewog Yargay Tshogchung (Gewog Development
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Committee or GYT) in 1991, community participation in development has taken a variety of forms
as an important part of the "basic needs approach" to development. Most manifestations of CP seek
“to give the poor a part in initiatives designed for their benefit” in the hopes that development
projects will be more sustainable and successful if local populations are engaged in the development
process.
The work planning workshop which was held in Mongar in September 2013, finalized the activities
to be undertaken in the program and implemented in the farmers field over the four years period.
Sub-sectoral activities that were presented and finalized by the workshop have actually emerged
from the consultation with the farmers or the communities themselves.
The GYT comprises of Tshogpas (development representative of one or cluster of villages). These
Tshogpas were advised by the sub-sectoral extension officers of the particular Gewog. After getting
the consulted list of activities from the Tshogpas, these were further validated by the extension
officers for their technical feasibilities and absorptive capacity of beneficiaries themselves. The
activity list was further consolidated at the District Officers’ level before it was presented to the
workshop. Thus the beneficiary participation in the planning process has been there for the
efficiency of implementation, cost sharing and program sustainability. In general all planning
processes have the mandate and moral obligation to "listen to the people," both to understand their
needs and to assess how their lives are actually being affected by programs and policies.
Participatory development is the most important approach towards enabling communities to help
themselves and sustain efforts in development work. In CCAP communities are no longer seen as
recipients of development program; rather, they have become critical stakeholders that have an
important role to play in the management of program in their areas. The most important aspect is
the training and exposure trips to beneficiaries in different aspects of adaptation methodologies and
technologies. A separate resource chunk is maintained at the PCU to meet some of the crucial needs
of the capacity building. This is the first step towards building their capacities to effectively
participate in identifying and responding to community issues and problems in the program.
As envisaged in the program design, and in the Monitoring Framework (MF), the CP is also very
crucial during the progress assessment. The Dzongkhags have to submit quarterly progress reports
to the FIs at the centre in order for them to consolidate and onward submit the report to PCU. The
PCU, will make a field verification and assessment of the development intervention at the field
level, during which the beneficiaries will be interviewed and participatory progress assessment will
be made.
4. Details of the Expected Outputs
A clear set of expected outputs, indicators, activities, baseline (11th FYP or EFYP), CCAP Target,
EFYP Target, Means of verification and assumptions & risks; which are the ingredients of the
Monitoring Framework, have been agreed among the key stakeholders at the Mongar workshop.
These are essential in order to carry out monitoring and evaluation systematically. This framework
serves as a plan for monitoring and contains:



What is to be monitored
The activities needed to be monitored
Who is responsible for monitoring activities and when monitoring is planned
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In addition, relevant risks and assumptions in carrying out planned monitoring activities is also
considered.
The SAPA translates the overall national goals related to CC into sectoral practice and
implementation by operationalizing a number of thematic action areas to measure and document
adaptation strategies for CC. In this way CC effectively has been integrated into the 11th FYP.
The challenge now lies in implementing the planned activities successfully on the ground, and
monitoring their impacts. Not all the following activities are equally relevant from an adaptation
perspective and not all have the same potential to be self-sustained and replicated. However, both
economic viability and CC impacts of the activities will be monitored to ensure a solid basis for
decision makers to identify future priorities.
The outputs and corresponding activities are described below:
Output 1: Green Livestock Farming Practices Promoted
Globally livestock sector plays an important role in climate change with emissions estimated at 7.1
giga-tonnes CO2-eq per annum, which represents 14.5 percent of human-induced GHG (Greenhouse
Gas) emissions. Cattle milk production account about 20 percent of the sector’s emissions while pig
meat, poultry meat and eggs contribute respectively 9 percent and 8 percent to the sector’s
emissions. Feed production and processing, and enteric fermentation from ruminants are the two
main sources of emissions representing 45 and 39 % of sector emissions, respectively. Manure
storage and processing represent 10 percent.
In Bhutan the major GHGs are carbon dioxide (CO2) methane (CH4), nitrous oxide (N2O) Nitric
oxides (NOx), sulphur dioxide (SO2), non-methane volatile organic compounds (NMVOCs), hydro
fluorocarbons (HFCs), and carbon monoxide (CO). The six major sources which are contributing to
GHG emission are: energy, industrial processes, solvent and other product uses, agriculture,
land-use change and forestry, and waste. In agriculture, there are several important activities that
account for the emissions of greenhouse gases. Major GHG-emitting activities include enteric
fermentation and manure management from domestic livestock, rice cultivation; flooded rice fields,
agricultural soils, and field burning of agricultural residues.
However, there are existing technologies and practices that help reduce emissions. Technologies
and practices that improve production efficiency at animal and herd levels are the use of better
quality feed and feed balancing to lower enteric and manure emissions. Improved breeding and
animal health help to shrink the herd overhead (i.e. unproductive part of the herd). Manure
management practices ensure the recovery and recycling of nutrients and energy contained in
manure and improvements in energy use efficiency that would further contribute to mitigation.
Fodder grass plantations could significantly offset emissions by carbon sequestration.
Therefore, based on the above justification, some of the activities will be: To develop biogas
accessories and facilities for clean energy, to initiate improved pasture development in registered and fallow land, and in SRF leased land, and to introduce and propagate new fodder varieties
through clean ensiling technologies to cope up with shortages during lean season.
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Expected Output
Activities
Output 1:
Green Livestock
Farming
Practices
Promoted
Reduce number of unproductive livestock
Initiate stall feeding
Establish efficient production and marketing facilities
Establish biogas facilities for clean energy
Initiate improved pasture development in registered and fallow land, and in
SRF leased land.
Introduce and propagate new fodder varieties through clean ensiling
technologies to cope up with shortages during lean season.
Promote climate resilient native and selected exotic bee species with
appropriate and efficient technologies
Output 2: Efficient Irrigation Systems for Horticulture Cash Cropping Established
Although there are numerous rivers and streams in the country, agriculture is still dominated by dry
land farming that depends on the south-westerly monsoon rain that accounts to 60 to 90 % of annual
precipitation. A wide range of agriculture and horticulture crops can grow year round in the agroecological zones from the wet-subtropical (150-600 masl) with a mean annual rainfall of 2500-5500
mm to temperate zones (2500-3500 masl) of mean annual rainfall of about 500 - 1,000 mm.
The irrigated land in the country is less than 18 % of the total arable land and it is mostly focused
on rice cultivation. The horticulture crops, fruit crops in particular, are hardly irrigated although the
agriculture export is dominated by the horticulture crops. Options of improved conveyance and
efficient means to irrigate crops are not explored in great depth. Programs on water harvesting,
efficient conveyance system, water storage structures, use of groundwater, and modern irrigation
technologies (drip, sprinkler) are at infancy stage.
Expected Output
Output 2: Efficient Irrigation
Systems for Horticulture
Cash Cropping Established
Activities
Set-up rain water harvesting units in the villages
Procure & supply of drip irrigation sets, sprinkler & related
equipments
Construction of reservoirs
Output 3: Sloping Land Management for Horticulture and Field Crops Production
practices adopted
More than 31% of the agriculture land is on slopes greater than 50% and sheet erosions that
contribute to sediment loads of rivers are a perpetual problem in the Bhutanese farming system.
Sustainable Land Management (SLM) technology fits well in a mixed farming environment seen in
Bhutan to reduce soil erosion, increase crop diversity and fodder availability. This technology is one
of the options for many environmental problems caused by anthropogenic activities in Bhutan.
Fodder trees and grasses promoted along sloping farmland as hedges provide animal feed, and
minimize sheet erosions. The loss of soils has been reduced by half through the introduction of the
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hedgerow systems, and also helps to build up carbon stock in soil organic matter. The farmers,
however, do not pick up this technology easily mainly because of limited arable land owned, and
type of farming systems practiced. The average farmland holding size is around 4.3 acres and most
of the farmers let their cattle loose after the harvest of crops. This poses a problem in maintaining
hedgerows in the winter season.
Expected Output
Output 3: Sloping
Land Management
for Horticulture
and Field Crops
Production
practices adopted
Activities
Land terracing
Hedge row plantation
plantation of fodder tress on field periphery
Training for EAs/Farmers on land management techniques
Farmers training on Hedgerow plantation
Field day for farmers-Demonstration sites
Promotion of Rajma beans
Output 4: Increased Organic Agriculture Production
Besides the new focus on green economy and carbon neutral development policies, the Government
has given greater attention to promote organic farming as the mainstream farming system in
Bhutan. Efforts and investments shall be made to promote organic farming for food security and
poverty alleviation in resources poor areas with little access to inputs and markets.
100 acres of farmland is expected to be brought under organic farming by the end of the project
period.
Expected Output
Output 4: Increased
Organic Agriculture
Production
Activities
Weed and nutrient management by growing cover cropping-other
cereals
Green manure demonstration
Training of EAs on bio-fertilizer preparation
Farmers training on organic farming & supply of relevant inputs
Output 5 : Reduction of Post Harvest Crop Losses
Bhutan is a mountainous landlocked country on the eastern Himalayan range with a geographical
area of 38,394 square km with an arable land of only 2.93%. There is little or no opportunity to
increase area under agriculture production and therefore, it is crucial that Bhutan focus on
improving the productivity per unit area to enhance agriculture production. Investments shall be
made in promoting Good Agriculture Practices (GAP) like for instance: Establishment of
intercropping demo-sites and mixed cropping demo-sites, weed and nutrient management by
growing cover cropping-other cereals, supply of household silos and related training, and to train
farmers on improved orchard management & supply seedlings and to diversify crops.
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Expected Output
Output 5 :
Reduction of Post
Harvest Crop
Losses
Activities
Establishment of intercropping demo-sites
Establishment of mixed cropping demo-sites
Survey of other cereals
Participatory evaluation and field day
Demonstration of Drought tolerant varieties
Train EAs on vegetable seed production
Train EAs on Maize and paddy seed production
Train farmers group / coops on vegetable seed production / other aspects
of marketing
Field day for farmers on Maize and paddy seed production
Procure & supply of silos
Procure & supply of PH equipments / others
Train farmers on improved orchard management& supply seedlings,
diversify crops
Management of outbreaks / flood
Initiate Geog crop insurance schemes
Provide seeds during natural calamities
Output 6: Human Wildlife Conflicts Mitigation Measures Adopted
In Bhutan, wildlife crop depredation is as high as 55% despite the farmers guarding the crops day
and night. RNR-Regional Development Centre (RDC) Wengkhar has developed and successfully
tested an improvised electric fencing which has received overwhelming response from the farmers.
Farmers have reported 100% crop protection from wild animals with these electric fencing.
Considering, the substantial crop loss to wild animals notwithstanding the sleepless nights the
farmers spend each season guarding their crops, the project could consider increasing investments
in electric fencing hand-in-hand with Geog crop insurance schemes, where the farmers insure crops
against crop depredation by wild animals. The Department of Forests & Park Services already has
initiated Geog crop insurance schemes and this is another sustainable way of combating wild life
crop depredation in the Project dzongkhags.
Expected Output
Output 6: Human
Wildlife Conflicts
Mitigation Measures
Adopted
Activities
Train farmers on electric fencing to ward off wild animals: Use,
maintenance and safety measures.
Procure & supply of inputs electrical fencing materials [wires,
insulators, batteries, poles etc.]
Output 7: Increased Paddy Field Area under Efficient Irrigation Systems
The irrigated land in the country is less than 18 % of the total arable land and it is mostly focused
on rice cultivation. There are 1307 existing irrigation schemes mostly of conventional open canal
where water seepage and evaporation rates are very high resulting in an efficiency of only 30 to 40
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%. The seepage of water and poor paddy field tail water management are also identified as one of
the main causes of landslides and soil erosions. The water demand, over all is increasing and it is
projected that municipal demand will increase from 25.6 million cubic meter in 2010 to 41.7 in
2020, and irrigation demand from 460 in 2010 to 498 million cubic meter in 2020. Options of
improved conveyance and efficient means to irrigate crops are not explored in great depth. The
availability of water per capita in the country is one of the highest (73,000 million cubic meters) in
the world. There are, however, many places where there is too much or too little water. This calls
for a good water management strategy to face the challenges posed by local, regional and global
changing environment.
Expected Output
Output 7: Increased
Paddy Field Area
under
Efficient
Irrigation Systems
Activities
Implementation of put-right condition measures and renovation of
existing irrigation channels for unhindered supply of water for
irrigation.
Construction of new irrigation channels
Output 8: Watershed Management Plans for Kurichu River Basin developed
Water is increasingly becoming a scarce resource and bond of contention as the weather conditions
are becoming increasingly unpredictable with erratic rainfall pasterns observed over the recent years
and glaciers are retreating at an alarming rate. Even in Bhutan, where the hydropower sector
contributes tremendously to its economy, the instances of water related problems both for drinking
as well as for irrigation have been increasing steadily with reports coming in from various parts of
the country. Therefore, more than ever before, the concept of watershed management planning, its
implementation, watershed protection etc have become relevant and necessary.
Expected Output
Output 8: Watershed
Management Plans
for Kurichu River
Basin developed
Activities
Assessment and Identification of Critical Watersheds
Watershed management planning
Implementation of Watershed management plans
Water Source Protection and Rehabilitation
undertake Water Scarcity Survey in Mongar, Lhuentse, Zhemgang
and Pema Gatshel
Undertake A case study in Kurichu River Basin
Output 9: Afforestation and Reforestation in Barren and Degraded Lands
The plantation forestry plays a vital role in sustainable management of forests and contributes
significantly towards to rehabilitating degraded and deforested areas. At a time when Bhutan faces
inescapable impacts of CC leading to erratic and unpredictable weather conditions, disastrous
natural calamities such as floods, landslides, glacial lake outbursts floods, the plantation forestry is
viewed as one of the measures to mitigate and combat impacts of CC.
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Expected Output
Output 9:
Afforestation and
Reforestation in
Barren and Degraded
Lands
Activities
Soil and Land management Activities
Plantation and nursery management for watershed areas
Sustainable Management of NWFPs , (cane and bamboo)
Community based Ecotourism
Waste Management
Specific capacity buildings - Leadership and Management
Output 10: National Forest Inventory (NFI) Database Established
After the first field based national level forest inventory referred to as Pre-Investment Survey (PIS)
carried out from 1976-81, no field based inventory has been carried out until date, although a
number of Remote Sensing (RS) exercises have been undertaken such as Land Use Planning Project
(LUPP, 1995), Land Cover Mapping Project (LCMP, 2010) etc. Hence, realizing the need to assess
forest resources of Bhutan, National Forest Inventory (NFI) effort has been initiated in 2009 to
generate national baseline data and to guide policy decisions concerning forestry and environment
sectors in the country. NFI has been initiated to monitor and fulfil the constitutional mandate of
60% forest coverage in perpetuity. However, the investment in terms of financial and as well as
human resources required for undertaking NFI is quite huge and therefore, the strategy adopted is to
implement NFI in region wise manner.
Currently Bhutan Trust Fund for Environmental Conservation (BTFEC) is funding NFI field
enumeration for western region, and with the support from GCCA the activities now will involve
the four selected Dzongkhags: Pemagatshel, Mongar, Lhuentse and Zhemgang. Although,
technically the Department of Forests and Park Services is well equipped to carry out field
enumerations works of NFI in these four Dzongkhags, the experience of having implemented NFI
in other Dzongkhags have shown that the support and cooperation of the Local Government in
terms of logistical arrangements and support to NFI crew is imperative. Therefore, within this
broader activity conducting NFI, the activities such as consultative meetings with local community
and local government have been proposed.
Expected Output
Activities
Output 10:
National Forest
Inventory (NFI)
Database
Established
Conduct National Forest Inventory
Conduct Forest Resources Potential Assessment (FRPA) in Dzongkhags
including the GCCA target Dzongkhags.
Improve and strengthen Forest Fire Management program
Promote and strengthen Community based Natural Resources
Management
Output 11: Increased On-Farm Conservation and Sustainable Utilization of AgroBiodiversity
The mitigation potential can also be achieved with the improvement in practices rather than
changing production systems. Under this output, efficient and affordable adaptation practices will
M&E Frame GCCA - CCAP Ver July TNA
Page 16
be developed for the rural poor who are unable to afford expensive adaptation technologies. Some
of it is the provision of shade and water to reduce heat stress from increased temperature and to
change in livestock/herd composition to increase production for instance to promote climate
resilient native and selected exotic breeds of pig and poultry with appropriate and efficient
technologies.
Expected Output
Output 11: Increased
On-Farm Conservation
and Sustainable
Utilization of AgroBiodiversity
Activities
Establish in vitro and cryobank facilities for recalcitrant seed
conservation
Implement innovative measure to promote on farm conservation of
local animal breeds
Establish nucleus herds of indigenous poultry birds
Output 12: Coordination and Planning Services for CCA
This will enhance the policy support to the implementers and local communities in promulgating
adaptation mechanisms in the CCAP and equip the stakeholders with improved planning skills.
Expected Output
Output 12: Coordination and
Planning Services for CCA
Activities
Desk Research Policy
RNR Policies and Legislations through formulation of a
RNR- Disaster Preparedness and Response Strategy
Formulation of Working Document
First consultative workshop
Institution of a task force
Development of a draft Strategy
Consultative workshop with the LG
Consultation and Finalization
Printing and Publication
Output 13: Enhanced Biodiversity Information through studies & baselines
Major activities will be (i) to characterize and conduct threat/risk assessment of domestic animal
genetic resources and to develop conservation strategies, (ii) to coordinate inventory and
documentation of horticultural
crop diversity and crop wild relatives, (iii) to conduct
comprehensive assessment of invasive plants species and develop recommendations for
management, and (iv) to strengthen the biodiversity portal features and data content to enable
analysis of impacts of climate change on biodiversity and ecosystems
.
M&E Frame GCCA - CCAP Ver July TNA
Page 17
Expected Output
Output 13: Enhanced
Biodiversity
Information through
studies & baselines
Activities
Coordinate inventory and documentation of horticultural crop
diversity and crop wild relatives
Characterize and conduct threat/risk assessment of domestic
animal genetic resources and develop conservation strategy
PGR Germplasm exploration, collection, characterization and
conservation
Establish in vitro and cryobank facilities for recalcitrant seed
conservation
Conduct comprehensive assessment of invasive plants species and
develop recommendations for management.
Strengthen the biodiversity portal features and data content to
enable analysis of impacts of climate change on biodiversity and
ecosystems.
Output 14: Strengthened Regulatory and Quarantine System
An important activity is to develop rapid response (disaster response) plan and to strengthen post
entry quarantine facilities for effective bio-security measures. With changing climate, new pests and
diseases and other related plant and zoonotic diseases emerge, for e.g., recent outbreak of GALS
and Bird Flu. It is the responsibility of BAFRA to control the spread of diseases by implementing
quarantine measures, and movement control. Financial support from GCCA will be used to procure
necessary protective facilities, develop standard operating procedures specific to the prioritized
pests and diseases, equipment required to carry out containment measures and other expenditure
during containment activities.
Expected Output
Activities
Output 14: Strengthen
the Regulatory and
Quarantine System
Equip the quarantine stations with decontamination facilities
(Incinerators / Autoclaves )
Introduce bio-security measures for exotic pest and diseases
Establish biological pits
Purchase disinfectant and sanitizers and other safety equipments
Output 15: National Food Testing Laboratory (NFTL) made Fully Functional to Regulate
Genetic Modified Organism (GMO)
With CC farmers/institutions may import GM seeds which can adapt to the changing climate to
make food available to citizens. However some GM products may be unauthorized depending on
the country’s policy and related legislation. Since BAFRA is the national food inspectorate, it will
be responsible to regulate any unauthorized GMO in the country. To carry out this activity, NFTL
will procure special equipment and train staff for operation and data analysis to regulate and detect
unauthorised GMOs.
M&E Frame GCCA - CCAP Ver July TNA
Page 18
Expected Output
Output 15: National Food
Testing Laboratory
(NFTL) made fully
functional to Regulate
Genetic Modified
Organism (GMO)
Activities
Purchase PCR machine with software
Installation of PCR machine
Hands on training
Field inspection equipment for plant animal and food sector
Output 16: Gathering and Dissemination of Climate Change Information
The communication activities such as production of documentary, MTV, radio programs, panel
discussion will create awareness among the people on climate helping them to understand about its
emerging issues and how to go about it. They will also be informed how the climate change may
cause a serious threat in agriculture and food security, reduce availability of water, harm ecological
systems and reduce biodiversity etc, which are crucial for Bhutanese living.
Publications like magazines and comics will share the innovative climate related stories in terms of
agriculture, forestry and livestock highlighting how these activities would be helpful for
environmental conservation. ICS will organise farmer’s quiz in the GCCA project areas to improve
farmers' knowledge about impact -and how to adapt to climate change. These activities are also
expected to strengthen the support from the local communities during the implementation of the
sector-wide climate change activities.
Expected Output
Output 16:
Gathering and
Dissemination of
Climate Change
Information
Activities
Documentary production on project impact
Production of MTV on project theme and GCCA programs
Radio programs on Agriculture and Food Security, Water Resources,
Forest and Biodiversity
Panel discussion on GCCA programs (Airing, documentation)
Annual Magazine highlighting climate change related success
stories/issues
Purchase printer/ Editing set
Output 17: Policy / Strategic Research Coordinated & Conducted (CC
Impact/Adaptation)
This output pertains to CoRRB-secretariat who is engaged in research work at thematic level. It is
also engaged in impact assessments and technology adoption studies. In order to support CCAP it is
going to conduct climate change research and strategic assessments. The technology adoption
studies will encompass the CC adaptation methods that the client Dzongkhags will implement as
interventions.
M&E Frame GCCA - CCAP Ver July TNA
Page 19
Outputs
Output 17: Policy / Strategic
Research Coordinated &
Conducted (CC
Impact/Adaptation)
Activities
Identify & implement collaborative research - CC
initiatives
Conduct strategic & policy research
Identify international institutions and sign MoU to
enhance linkages - CC initiatives
Process RNR innovations and IPR issues in CC
initiatives
Conduct socio-economic research - CC initiatives
Output 18: Climate Smart Initiatives Streamlined & Technologies Delivered
This output is for the PCU to pursue, which is engaged in overall coordination of program, M & E,
review of work-plans & budget, management of progress, resource mobilization, coordination of
CCIS development, and capacity building program. It will also coordinate baselines and impact
studies and specific CC focused research in collaboration with CoRRB secretariat scientists.
Expected
Output
Activities
18. Climate Smart
Initiatives
Streamlined &
Technologies
Delivered
GCCA PCU established & action plans initiated
SAPA prepared & submitted for approval to RGoB & EU
CCIS established
CC initiatives monitoring & evaluation procedures put in place
HRD Coordinated & implemented
Visualizations
Study impacts of climate change on livestock, agriculture, land
utilization, Forest and Wetland Ecosystem
5. Monitoring Framework for CC Adaptation Program
All implementing Dzongkhags, in consultation with the central agencies (stakeholders) will develop
Annual Work-Plan & Budget (AWPB), which is the activity plan, linked to expected outputs
within the approved 11th FYP (as described in section 3) and upload them in PLAMS. A copy of the
uploaded data sheet will be submitted to CoRRB secretariat. CoRRB will make arrangement to
access this data in collaboration with PPD & GNHC. As prescribed in PLAMS the progress should
be updated on a quarterly basis by the designated FPs in all the ten stakeholder institutions. The FPs
should also submit a compiled sub-sectoral progress report for the CCAP Dzongkhags to PCU.
CoRRB-S in consultation with the stakeholders will also organize monitoring visits to actually see
M&E Frame GCCA - CCAP Ver July TNA
Page 20
the actions in the field and document the progress. In parallel, CoRRB-S will also request SAPATechnical Committee (SAPA -TC) to make rapid appraisals of some of the action areas and propose
the way forward as and when required.
CoRRB based on the quarterly reports will prepare the comprehensive report and submit to MoAF
for further circulation to the government and the donor.
The above mentioned procedures for monitoring of CCAP will not by itself give sufficient scientific
documentation on impacts of CC on the sector. Detailed documentation to draw conclusions for CC
analysis and developing proper adaptation measures are needed for proper decision making. The
activities implemented by CoRRB secretariat, particularly on climate change research, baselines
and impact studies, observation and validation of CC adaptation measures through initiation of
climate smart villages and further probing of results after implementation of activities by the
Dzongkhags, are going to provide material for this.
6. Result Based Management – FYP’s Monitoring Tool
In the light of foregoing background, this MF is developed for effective monitoring of the CCAP.
As is the case with all the programs of the RGoB, CCAP activities will be monitored using National
Monitoring and Evaluation System (NMES) designed and promulgated by GNHC, which is the
central coordinating agency for development planning, monitoring and evaluation.
The M&E System in use deploys structured formats and tools with dynamic database, data elements
with stratified password protocols; inputs with Logical Framework Approach (LFA) with clearly
defined results & indicators following the 11th FYP’s Results-Based M&E Approach based on the
principles of Results-Based Management (RBM). RBM is a management strategy focusing on the
achievement of clearly defined results and ensuring that its processes, products and services
contribute to the achievement of clearly stated results. The key focus of the Results-Based M&E
system is thus the outcomes and impacts of the programs and projects, as well as the means of
achieving them through outputs, activities, and inputs.
The planned activities should be presented in matrices & tables using standard formats of PLAMS
clearly indicating outputs, outcomes and impacts. These tables should include monitoring and
evaluation responsibilities and schedules.
M&E Frame GCCA - CCAP Ver July TNA
Page 21
Table 1: Concepts & Definitions of Results
Results
Goal
Impact
Outcome
Outputs
Activities
Inputs
Changes in a state or condition which derive from a cause-and- effect relationship.
There are three types of such changes which can be set in motion by a development
intervention – its output, outcome and impact.
The higher-order objective to which a development intervention is intended to
contribute
Positive and negative long-term effects on identifiable population groups produced by
a development intervention. These effects can be economic, socio-cultural,
institutional, environmental, technological or of other types
The intended or achieved short-term and medium-term effects of an intervention’s
outputs, usually requiring the collective effort of partners. Outcomes represent changes
in development conditions which occur between the completion of outputs and the
achievement of impact
The products and services which result from the completion of activities within a
development intervention
Actions taken or work performed through which inputs, such as funds, technical
assistance and other types of resources are mobilized to produce specific outputs
The financial, human, and material resources used for the development intervention
6.1 The Objective of Monitoring of CC Projects







Institute efficient, transparent & enabling CC projects MF
Monitor the efficiency with which the different components of the CCA program are being
implemented & suggest improvements.
Provide constant feedback to the senior management of MoAF regarding the CC projects
and their progress.
Assess adoption of CC technologies by target population and their resilience &rate of
outspread.
Evaluate impacts and effects of CC projects &technologies.
Prepare policy briefs, need assessment & gaps
Enhance commitment and accountability of CC projects & technologies to the clients and
sponsors
6.2 The Monitoring Roles
The CCAP monitoring will be done at four levels including all stakeholders. At the national level, it
shall be based on the Key Performance Indicators (KPIs) of Sectoral Key Result Areas (SKRAs)
linked to FI and CoRRB-S performance (source: 11th FYP RNR sector planning guidelines].
The CC activities implemented by individual departments will be monitored by the FIs themselves.
CoRRB-S monitoring role begins from output onwards. The day to day monitoring of activities,
based on the work plans, will be done by Gewogs and Dzongkhags, along with the FIs. Therefore
the CC projects’ results at output, outcome and impact level will be evaluated by the PCU at
CoRRB secretariat in collaboration with FIs and Dzongkhags.
M&E Frame GCCA - CCAP Ver July TNA
Page 22

Primary Roles and Responsibilities
The RNR-GNHC will be the M&E Review Committee at the MoAF level.
The institutional setup, roles and responsibilities below is the minimum requirement for M&E at the
Ministry/Agency level. The FIs and CoRRB-S have to set up appropriate internal management
structures and procedures for efficient management and day to day monitoring of CC activities.


Basis for Monitoring

The Annual Work-Plan & Budget [AWPB] and M&E Plan shall be the basis for
monitoring CCAP / FI’s performance in terms of achievement of results.

The AWPB is derived from broad themes outlined in the SAPA which are
disaggregated into outputs and activities [refer table 2], and clearly defined
baselines, indicators and targets of the FIs involved in CCAP for the given fiscal
year.

The FIs/Departments/Agencies shall be responsible for implementing the budgeted
activities for the year and also monitoring of the activities. The PCU at CoRRB
secretariat will monitor outputs, outcomes and impacts. PCU will also do the
process monitoring of the activities carried out as per the mandates of the
secretariat.
Progress Data Collection, Verification and Reporting
- The FIs engaged in CCAP implementation shall be responsible for collecting and
recording progress data on implementation status of the activities, outputs and outcomes;
including financial data of completed activities and results.
- The data shall be invariably entered by FIs on a regular basis (weekly or monthly as
appropriate).
- The FIs shall work closely with PCU at CoRRB secretariat in regards to entering data and
providing updates.
- The Departments' Finance Division/Section shall monitor/verify the accuracy of data and
ensure that the FIs enter the data in the system regularly.

Progress Report and Data Analysis
- The FIs shall be responsible for preparing detailed progress report of their respective
sectors every three months by way of updating/uploading in the PLAMS, which can
generate reports.
- Based on the updates made by these FIs, CoRRB secretariat will generate quarterly/semiannual progress reports of the CCAP, combining PCU’s work (The 1st Semi-Annual
M&E Frame GCCA - CCAP Ver July TNA
Page 23
Progress Report for the period July-December shall be completed by 31st January and the
2nd Semi-Annual Progress Report for the period January-June shall be completed by 31st
July).
-The PPD shall further process and analyze the data received from CoRRB secretariat for
preparing consolidated progress report to be presented to GNHC.

Progress Review and Feedback Mechanisms
- PCU at CoRRB secretariat shall conduct quarterly monitoring visits to crosscheck and
corroborate with program beneficiaries engaged in CCAP in collaboration with FIs. During
such visits other activities implemented by CoRRB and process monitoring of its activities
will be done. Such visits shall validate the information collated for progress before its
publication and onward submission to Ministry and EU.
- The RNR-GNH Committee shall review the status of project implementation at the
Ministry or Agency level on a semi-annual basis.
- The Chief Planning Officer of the PPD shall table the progress reports to GNHC for
review and decision making.
Figure 2: Information flow diagram [FI -Focal Institution, CoRRB-Council for RNR Research of Bhutan, PPD-Policy & Planning Division, GNHC-Gross National
Happiness Commission]
M&E Frame GCCA - CCAP Ver July TNA
Page 24
Table 2: Programme Result Matrix (Output Level)
Sl.
No
Climate
Change
Vulnerability
Thematic Area
Climate Change Adaptation Results
Indicator
Number of households adopting
stall feeding and composting from
improved breeds of dairy cattle
Output 1:
Green Livestock Farming
Practices Promoted
1
2
Agriculture
and Food
Security
Output 2: Efficient Irrigation
Systems for Horticultural Cash
Cropping Established
Number of households adopting
biogas units and/or cattle dung
briquettes as alternative energy
sources
Acres of improved pasture and
acres of cropping patterns that
include winter fodder to support
dairy cattle that are stall-fed (for
individuals, groups and
commercial farmers)
Acres of land under water efficient
irrigation system installed (drip,
sprinkler and water harvesting
systems)
Baseline
(11th
FYP)
= CY
2012
11th
Plan
Target
(cumul
ative)
RNRCCAP
Target
Means of
Verification
Climate resistant stall
designs for all altitudes
3360
10,000
130
395
2500
470
DOL progress
records
3
4
125 acres of land developed
(bench terracing, contour
hedgerows and contour grass
strips)
16628
26027
741
Limited land available
for pasture
development
104
database in
DOAEngineering
Division
500
0
11071
125
8071
DoA progress
records
PLAMS
55560
100 acres under organic cultivation
developed
40627
100
DoA progress
records
PLAMS
M&E Frame GCCA - CCAP Ver July TNA
Introduction of cost
sharing mechanism
may act as disincentive
PlaMS
PlaMS
Output 3:
Sloping Land Management for
Horticulture and Field Crops
Production practices adopted
Output 4: Increased Organic
Agriculture Production
Risks/Assumptions
Database is set up.
Coordination between
Dzongkhags,
Horticulture and
Engineering Divisions
efficient
DOA needs to establish
a new database with
reliable data
DOA needs to establish
a new database on NOP
with reliable data
Page 25
Sl.
No
Climate
Change
Vulnerability
Thematic Area
Climate Change Adaptation Results
5
Output 5 Reduction of Post
Harvest Crop Losses
6
Output 6:
Human-Wildlife Conflicts
Mitigation Measures adopted
7
8
9
Output 7: Increased Paddy
Field Area under Efficient
Irrigation Systems
Water
Resources and
Energy
Forestry and
Biodiversity
Output 8: Watershed
Management Plans for
Watersheds Developed in
critical watersheds of Kurichu
River Basin
Output 9: Afforestation and
Reforestation in Barren and
Degraded Lands
M&E Frame GCCA - CCAP Ver July TNA
Indicator
Number of post harvest facilities
established and functional (for
individual household &
communities)
Baseline
(11th
FYP)
= CY
2012
1539
11th
Plan
Target
(cumul
ative)
RNRCCAP
Target
3120
100 KMs of cropped area fenced
for protection against wildlife
KM of new and renovated
irrigation channels
HH & WUA adopt efficient water
use practices
71
Integrated Watershed Management
Plans for degraded watersheds
developed (Mangdechhu, Kurichu,
Punatsangchhu and Wangchhu)
2
111
DOA needs to establish
a new database on this
with reliable data
Appropriate designs for
all altitudes
DOA
DoFPS
database
/
100
No national database.
DOFPS & DOA need
to develop database
50
PLAMS/ DoA
progress
report
DOA needs to include
this parameter in the
progress report
PLAMS/ DoA
progress
report
WMD
–
DOFPS
progress
records
/
PlaMS
WMD
–
DOFPS
progress
records
/
PlaMS
DOA needs to include
this parameter in the
progress report
60
Number of watersheds with critical
assessments completed in
Mangdechhu and Kurichu River
Basins
Risks/Assumptions
654
No of farmers trained on electric
fencing techniques.
0
Means of
Verification
29
3
Two river basins are
outside the RNR-CCAP
target area
24858
Hectares of tree plantation
established and managed
sustainably in GRF land
22,858
50
FIMS
DOFPS
records
-
Page 26
Sl.
No
Climate
Change
Vulnerability
Thematic Area
Output 10: National Forest
Inventory (NFI) Database
Established
10
Output 11: Increased On-Farm
Conservation and Sustainable
Utilization of AgroBiodiversity
11
12
13
14
15
Climate Change Adaptation Results
Governance,
Coordination,
and Support
Services
Output 12: Coordination and
Planning Services for CCA
Output 13: Enhanced
Biodiversity Information
through studies & baselines
Output 14: Strengthened
Regulatory and Quarantine
System
Output 15: National Food
Testing Laboratory (NFTL)
made fully functional to
Regulate Genetic Modified
Organism (GMO)
M&E Frame GCCA - CCAP Ver July TNA
Indicator
Number of cluster plots surveyed
(convert the cluster plot to km2 by
multiplying by 16)
Baseline
(11th
FYP)
= CY
2012
11th
Plan
Target
(cumul
ative)
RNRCCAP
Target
FRMD
DOFPS
records
0
38394
Means of
Verification
514
Number of sites with community
based initiatives for conservation
and sustainable use of
indigenous/local breed of livestock
25
Number of policy documents and
planning guidelines
0
Climate Change Policy Paper
prepared
0
0
1
PPD records
CCA Strategy Guidelines for RNR
Planners prepared
0
0
1
PPD records
Biodiversity and resilience to
climate change reflected in
Biodiversity Portal
1 Plant & Animal Quarantine
Station equipped with
decontamination facilities
Increased accredited test
parameters for the National Food
Testing Laboratory (NFTL)
35
5
–
NBC progress
records
PlaMS
1
1
1358
2500
PPD records
NBC progress
records
2358
PlaMS
5
0
15
BAFRA
progress
records
1
30
1
BAFRA
administrative
records
Risks/Assumptions
Some plots may be
inaccessible due to
difficult terrain /
extrapolation
methodology is needed
Each site aggregates
both crop variety and
livestock breeds. RNRCCAP is funding only
the livestock part
RNR statistics to
include CC parameters
National Paper on
Biodiversity and CC for
Climate Summit updated and entered on
portal
It is an indirect activity.
CCA SMART
credentials should be
established
It is an indirect activity.
CCA SMART
credentials should be
established
Page 27
Sl.
No
16
Climate
Change
Vulnerability
Thematic Area
Climate Change Adaptation Results
Output 16: Gathering and
Dissemination of Climate
Change Information
Indicator
IEC TV programs on CCA
developed and distributed
IEC Radio programs on CCA
developed and distributed
EC print materials on CCA
developed and distributed
Output 17: Policy / Strategic
Research Coordinated &
Conducted (CC
Impact/Adaptation)
Output18: Climate Smart
Initiatives Streamlined &
Technologies Delivered
M&E Frame GCCA - CCAP Ver July TNA
Baseline
(11th
FYP)
= CY
2012
11th
Plan
Target
(cumul
ative)
RNRCCAP
Target
43
78
9
37
47
3
68
130
Means of
Verification
Risks/Assumptions
Adequate material
available for IEC on
CCAP
ICS progress
records
- do
5
No of strategic research and
impact studies
No of technology adoption studies
conducted
2
11
2
CoRRB
CCAP
progress
reports
/
SAPA document prepared
1
1
2
CORRB
records
CCIS established
1
1
CCAP reports
Monitoring framework for CCAP
prepared / Bhutan State of Climate
Change in the RNR Sector
Statistical Report
1
1
CCAP reports
No of CC research papers
4
4
CCAP reports
Page 28
Table 3: The standard Annual Work-plan & Budget Format
Sl.
No.
Output / Activity Title
Where
(Location)
Lead
Agency/
Staff
Collaboration*
Planned
Start
Date
Planned
End
Date
Indicator
(Quantity &
Quality)
Budget Planned for
the Activity
Rec Cap Total
Source
of
Fund***
Table 4: Standard Progress Reporting Format
Output / Activity
Title
Indicator
M&E Frame GCCA - CCAP Ver July TNA
Annual
Target
Actual
Budget
(Million
Nu)
Expenditure (Million
Nu)
Current Quarter
Cumulative
& Balance
FIC/Funding
Agency
Remarks
Page 29
Table 5: Format for Tracking M&E Accomplishments at output level
Climate
SMART Outputs
Output 1:
Green Livestock Farming Practices Promoted Aims:
Methane gas reduction and use for biogas
Output 3:
Sloping Land Management for Horticulture and
Field Crops Production practices adopted (SLM)
Aims: Water harvesting, rainwater runoff and soil
erosion control
Output 4: Increased Organic Agriculture
Production
Aims: improved soil structure and rain water
infiltration
Output 7: Increased Paddy Field Area under
Efficient Irrigation Systems
M&E Frame GCCA - CCAP Ver July TNA
Key
CCA Indicator elements
FY -------- Accomplishments
Dzongkhag __________
(Gewog Number & Name)
1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 N
0 1 2 3 4 5 6
1-1 HH adopting stall feeding
1-2 HH adopting zero grazing
practices
1-3 HH adopting composting
practices
1-4 HH adopting biogas plants
and/or dung briquettes
1-5 HH adopting improved pasture
techniques
1-6 HH adopting winter fodder
crop production
3-1 Acres of land terraced for crops
3-2 Km contour hedges with fodder
shrubs/trees
3-3 Km of contour fodder
grass/legume strips
4-1 Acres under zero or minimum
tillage practices
4-2 Acres under zero chemical
inputs
4-3 Acres under green manure
practices
7.1 KM of existing irrigation
channels renovated
Page 30
Climate
SMART Outputs
Key
CCA Indicator elements
FY -------- Accomplishments
Dzongkhag __________
(Gewog Number & Name)
1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 N
0 1 2 3 4 5 6
7.2 KM of new irrigation channels
constructed
7.3 Number of reliable and
sustainable water sources
7.4 HH adopting efficient water use
practices
7.5 WUA adopting payment
practices for water use
Output 2: Efficient Irrigation Systems for Horticultural 2-1 HH adopting greenhouses and
Cash Cropping Established
poly-tunnels
Aims: Crop season control, water harvesting, efficient 2-2 HH adopting water harvesting
water use
for vegetables
2-3 HH adopting drip irrigation for
vegetables
2-4 HH adopting sprinkler
irrigation for vegetables
Output 5 Reduction of Post Harvest Crop Losses
5-1 Number of community cold
store facilities
Aims: micro-climate control for storage
5-2 HH adopting improved postharvest technologies
Output 6:
6-1 Km of solar powered/ electric
fencing
Human-Wildlife Conflicts Mitigation Measures
adopted
6-2 HH adopting electric fencing
techniques
6-3 HH adopting biological control
practices
Output 8: Watershed Management Plans for
8-1 Number of watersheds assessed
for ES & ER
Watersheds Developed in critical watersheds of
Kurichu River Basin
8-2 Number of IWMP completed
M&E Frame GCCA - CCAP Ver July TNA
Page 31
Climate
SMART Outputs
Key
CCA Indicator elements
FY -------- Accomplishments
Dzongkhag __________
(Gewog Number & Name)
1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 N
0 1 2 3 4 5 6
Aims: climate resilient plans for critical watersheds
8-3 Number of IWMP with
financing secured
8-4 SIA-survey of sites of water
source depletion
Climate
SMART Outputs
Key
CCA Indicator elements
FY -----------------Accomplishments
Dzongkhag------------------(Gewog Number & name)
1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 N
0 1 2 3 4 5 6
10-1 Number of baseline
cluster sampling plots*
10-2 Number of Dzongkhags
with carbon stock maps *
Output 9: Afforestation and Reforestation in Barren and 9-1 Ha of barren lands with
climate resilient
Degraded Lands Aim: Improved resilience of forest
plantations
9-2 Hectares of degraded
forests with climate
resilient enrichment
planting
Output 11: Increased On-Farm Conservation and
11-1 HH adopting new crops
and varieties that are
Sustainable Utilization of Agro-Biodiversity
climate resilient
11-2 HH adopting local breeds
of livestock
11-3 HH with nucleus flocks of
Output 10: National Forest Inventory (NFI) Database
Established Aims: Baseline on forest health, vitality &
carbon sequestration
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Climate
SMART Outputs
Output 13: Enhanced Biodiversity Information through
studies and baselines
Output 14: Strengthened Regulatory and Quarantine
System
Output 15: National Food Testing Laboratory (NFTL)
made fully functional to Regulate Genetic Modified
Organism (GMO)
Output 16: Gathering and Dissemination of Climate
Change Information
Key
CCA Indicator elements
FY -----------------Accomplishments
Dzongkhag------------------(Gewog Number & name)
1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 N
0 1 2 3 4 5 6
local poultry breeds
13-1 Study on domestic animal
genetic resources and
conservation strategy
13-2 Inventory of local
horticulture crop varieties
and wild relatives
13-3 Assessment of invasive
plants species and control
mechanisms
13-4 Climate change impacts
integrated into
Biodiversity Portal
14-1 Strengthened RQS to
combat pests & diseases
15-1 NFTL fully functioning
for GMO regulation
16-1 IEC TV programmes on
CC developed &
broadcast
16-2 IEC radio programmes on
CC developed/broadcast
16-3 IEC print materials
developed & distributed
Output 12: Coordination and Planning Services for CCA 12-1 S&G for CCA planning
12-2 S&G for CCA M&E
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Climate
SMART Outputs
Output 17: Policy / Strategic Research Coordinated &
Conducted (CC Impact/Adaptation)
Output18: Climate Smart Initiatives Streamlined &
Technologies Delivered
M&E Frame GCCA - CCAP Ver July TNA
Key
CCA Indicator elements
FY -----------------Accomplishments
Dzongkhag------------------(Gewog Number & name)
1 2 3 4 5 6 7 8 9 1 1 1 1 1 1 1 N
0 1 2 3 4 5 6
17.1 No of strategic research
and impact studies
17.2 No of technology
adoption studies
conducted
18.1 SAPA document prepared
18.2 CCIS established
18.3 Monitoring framework for
CCAP prepared / Bhutan
State of Climate Change
in the RNR Sector
Statistical Report
18.3 No of CC research papers
Page 34
Annexure 1: Indicator Description for DoL Activities
INDICATOR CODE:
CCA-VT-4
SIMPLIFIED NAME OF INDICATOR:
Stall Feeding for Improved Cattle Breeds
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
Number of farming households adopting stall feeding of improved cattle breeds with the intention
of using integrated composting, biogas or dung briquette technologies is increasing in Bhutan
RATIONALE FOR INDICATOR:
There is a strong emphasis on milk production and processing at the household level in Bhutan, and
butter and local cheese are also major components of Bhutanese diet. One strategy for improving
milk production is the replacement of local breeds of cattle by improved breeds such as Jersey or
Brown Swiss cattle that are stall-fed on farm. This change in the dairy production system has
reduced open grazing and increased the potential for using captured cow dung for composting,
energy production through biogas technology, and production of dung briquettes for cooking. As of
2012, there were 1050 households using biogas for cooking and heating, and 3360 farmers were
practising stall-feeding of their cattle. This indicator contributes to environmental protection
through the increased number of stall-fed cattle, reducing numbers of free-range cattle, and reducing
use of imported LPG gas for cooking.
Calendar Year +
RNR-CCAP Year
Targets related to 11th FYP++
Actual achieved
Historical
Performance
Achievement
(Before start-up
of RNR-CCAP)
2010
2011
Projections for indicator (targets)
With RNR-CCAP support
2012
T
3360
2013
T+1
3692
2014
T+2
4688*
2015
T+3
6016**
2016
T+4
7510
Projections for indicator
(targets) under remainder
of 11th FYP but currently
outside RNR-CCAP
funding
2017
2018
9170
10000
+
CY is the year for which performance data are collected for budget release eligibility in July of the
following year; in the case of process indicators under RNR-CCAP performance may be delayed as
late as June
++
Targets are cumulative and relate to total stall-feeding households achieved in Bhutan (Including
those in the four target RNR-CCAP Dzongkhags)
T is baseline year
T+1 is first year with a budget release in July
* Performance achievement used to trigger release of 25% of Variable Tranche for FY 2015-16
** Performance achievement used to trigger release of 20% Variable Tranche for FY 2016-17
ANALYSIS OF INDICATOR BEHAVIOUR:
There has been a year on year increase in households adopting stall-feeding of cattle. This trend is
expected to continue to the end of the 11th FYP. Many Gewogs in the target Dzongkhags of the
RNR-CCAP do not have stall-feeding systems, and there is an opportunity to expand this livestock
M&E Frame GCCA - CCAP Ver July TNA
Page 35
production system whilst at the same time achieving climate change adaptation and mitigating the
effects of release of CH4.
OTHER RELATED INDICATORS:
Total households adopting composting from cattle waste
Total households adopting biogas units
Reduction in importation of LPG gas for rural households
Number of households adopting off-season fodder cropping
Total number of un-improved breeds of cattle is decreasing
Total of milk produced in metric tonnes per year shows an increasing trend
Total commercial sales of milk in millions Ngultrum from milk produced by farming households in
Bhutan is increasing
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
TshewangTashi, Livestock Officer, Department of Livestock, Ministry of Agriculture and Forestry,
Thimphu, Bhutan
Phone: +975 2 335399
E-mail: tshewangtashi@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage in Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Description
Data sources (what is
the collection
instrument)
A 100% sample of farming households is carried out at the end of every
year in all 205 Gewog using a farming household questionnaire carried out
by the Information Management Section (IMS) of the Department of
Livestock. The final report is usually available by June in the following
year, although draft statistics may be available earlier. At the moment stallfeeding records are not collected during the Annual Livestock Census, but
data are available from an administrative database kept by the DOL; as of
2015, data will be captured from the Census for this indicator.
Primary data needed for this indicator are numbers of farmers adopting
stall-feeding of improved breeds of cattle within Bhutan.
Data collection (who is For the 100% annual Census, primary data are collected by the Livestock
responsible for
extension agents. The annual Census captures data for a calendar year
collecting)
(January-December). The enumeration period is generally between
December and February, which is also the agricultural slack period when
farmers are more available to answer questions. The DOL carries out an
annual Census rather than a survey due to the fact that it needs to keep
records on vaccination for the total livestock population.
M&E Frame GCCA - CCAP Ver July TNA
Page 36
Data processing (who
carries out data entry
and data processing
and how)
Data entry is made into MS Access for processing and tabulation by staff at
the IMS in the DOL; and the RNR Statistics Management Unit at the PPD
provides quality control.
Data presentation
(how)
Annual numbers of farmers with stall feeding of improved breeds of cattle
are presented in the Annual Livestock Statistics Report and in the form of a
historical timeline that is posted on the Country STAT-Bhutan website
(currently managed and up-dated by FAO in Rome from 2012). Data from
DOL are available for the period 2006 to 2013 giving a total of 8 years’
records.
Data reporting (by
whom to whom)
Data on this indicator are reported in the Annual Livestock Statistics Report.
Since this indicator is also in the 11th FYP, the data should be also entered
into the PlaMS system annually by the IMS at DOL after validation of data
from the Dzongkhags.
The data are to be reported in the MOAF Annual Progress Report for the
relevant financial year (FY).
Inputs required for
data management
(when and by whom)
Since the data are already being collected by the Department of Livestock
as part of their regular programme, no major extra inputs are required for
data management of this indicator. However, a centralised training of 7-10
days should be carried out for RNR Gewog staff and Dzongkhag staff in
data enumeration and supervision. Field allowances should be provided to
all RNR staff specifically for data collection under the annual livestock
census; payment of allowances should be performance based following an
evaluation of the quality of completed questionnaires.
Cost of verification
Verification and validation of the data quality are carried out by the IMS at
DOL with support from the RNR Statistics Management Unit at PPD, who
are also responsible for analysing trends. No extra costs are envisaged since
these tasks are part of their regular duties. Ad hoc field checks may be
requested from time to time if there appear to be problems with the quality
of data from some geographical locations.
Data quality and risk
assessment (who and
how)
Potential problems with data quality are described in the Livestock Statistics
2009 Report. Many of the problems are due to the low literacy rate
amongst farmers and their poor understanding of some concepts when
enumeration takes place. Farmers do not keep their own records. Under
reporting of livestock populations and production figures for taxation
reasons is another source of error. Further statistical training is needed
amongst staff throughout the DOL, especially in the IMS. Many errors in
data presentation could be avoided by care in checking statistical tables,
especially looking for misplaced decimal places, column headings errors,
wrong number entry etc. The DOL needs strengthening with regard to
information and statistics management, both in terms of additional staff and
their training at the Information Management Section within DOL.
There may be risks in meeting the annual targets for numbers of stall
M&E Frame GCCA - CCAP Ver July TNA
Page 37
feeding units, if there are major incidences of livestock disease in a
particular year and farmers stop adopting stall-feeding technologies.
However increasing trends between 2005 and 2012 have been stable due to
expansion in distribution of improved breeds combined with better
vaccination campaigns, improved animal health care, and improved fodder
and nutrition levels.
ANY SUPPLEMENTARY INFORMATION:
Attach copies (or relevant extracts) of Annual Livestock Statistics reports to the file at CORRB for
Indicator T2 for all relevant years. The Statistical Officer at PPD also tracks these data.
INDICATOR CODE:
DOL2
SIMPLIFIED NAME OF INDICATOR:
Bio-gas as alternative energy source for green
technology
TYPE OF INDICATOR:
Outcome
INDICATOR DESCRIPTION: Number of livestock farmers adopting Biogas facilities
RATIONALE FOR INDICATOR:
In the 11FYP one of the outcome indicator is to increase the milk production to 40000MT. Most of
the milk production will be from the improved cattle. These cattle will have to be stall fed and
reduce free gange grazing which leads to trapping cow dung for energy production through biogas
technology.
As of 2012 there were 130 Nos. biogas established by farmers practising stall feeding in the
country.
This indicator contributes to environment protection through increased number of stall-feeding of
cattle positively reducing numbers of free-range cattle and reducing use of imported LPG gas
energy for cooking.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical and Projected Trends for Bio-gas installed (Nos.)
[Up-dated on 11th April 2014]
Fiscal Year
Historical Performance
Achievement (before
start-up of 11FYP)
2011
2012
Projections for indicator (targets) under 11FYP
11FYP Year
T-1
201314
T
Targets (Biogas installed)
130
630
Actual
achieved
500
2014-15
2015-16
2016-17
2017-18
T+1
T+2
T+3
T+4
1130
1630
2130
2500
0
0
0
Note : All figures in (Nos.)
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Page 38
ANALYSIS OF INDICATOR BEHAVIOUR:
There has been an average yearly increase between 2008 and 2012 of around 3360 farmers are
noted to have stall feeding and about 130 bio gas plants established between 2012-2014. With the
new policy of livestock commodity development in the 11th FYP, it is expected that there will be an
increase in the improved cattle population Biogas plants establishment will increase to 2500 biogas
plant by the end of 2018.
This will be through focus program implemented by National Centre for Animal Energy and Biogas
Project established under the Department of Livestock.
OTHER RELATED INDICATORS:
Total number improved breed is increasing
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Mr. Tshewang Tashi, Livestock Officer, Department of Livestock, Ministry of Agriculture and
Forestry, Thimphu, Bhutan
Phone: +975 2 335399
E-mail: tshewangtashi@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the
collection
instrument)
Data collection (who is
responsible
for
collecting)
Data processing (who
carries out data entry
and data processing
and how)
Data
presentation
(how)
Data reporting (by
whom to whom)
Inputs required for
data
management
(when and by whom)
Description
Primary data needed for this indicator are Nos.of Bio-gas established
Dzongkhag wise. This will be an Administrative Data.
Data will be collected from the Dzongkhag through prescribed format
provided by Biogas project.
Dzongkhag livestock officer (geog extension officers) will be responsible
for collecting the data on Monthly/quarterly/yearly as required.
Bio-gas project under DoL will be responsible for data entry and data
processing using MS access and excel sheets.
Being administrative data, Data presentation will be done by Bio-gas
quarterly report/annual report and DoL annual report
Data on this indicator will be reported to IMS, DoL through Bio-gas
project and IMS, DoL and report to PPD, MoAF
Since the data are being collected by the Dzongkhag livestock staff (geog
extension staff) as part of their regular programme, no major extra inputs are
required for data management of this indicator. However, a centralised
M&E Frame GCCA - CCAP Ver July TNA
Page 39
training of 7-10 days should be carried out for Gewog extension staff and
Dzongkhag staff in Basic computer operation, Data management and basic
statistical analysis. Supply of computers in the geogs where there are no
computers
Cost of verification
Verification and validation of the data quality will be carried out at
Dzongkhag level, RLDC level and finally at Biogas project as part of their
regular programme.
Data quality and risk This indicator being an administrative reporting there will be not be much
assessment (who and risk.
how)
ANY SUPPLEMENTARY INFORMATION:
Mapping Dzongkhag wise of Bio-gas plants installed
INDICATOR CODE:
DoL3
SIMPLIFIED NAME OF INDICATOR:
TYPE OF INDICATOR:
INDICATOR DESCRIPTION:
Improved pasture and winter fodder support
Output
Increased acreage of improved pasture and winter
fodder
to
support
individual,
groups
and
commercial farmers (Acres)
RATIONALE FOR INDICATOR:
There is a strong emphasis on milk production in the country and farmers are keeping high yielding
cattle breeds which are not taken for open grazing but stall fed. This change in the dairy production
system has reduced open grazing and warrants increase in the improved pasture and winter fodder
for the stall-fed cattle.
As of 2012 there were 16628 acres of improved pasture and winter fodder was established
supporting 3360 farmers practising stall feeding in the country.
This indicator contributes to environment protection through increased number of stall-feeding of
cattle positively reducing numbers of free-range cattle adding more nutrition.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
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Page 40
Historical and Projected Trends for Improved Pasture and Winter Fodder (Acres)
[Up-dated on 11thApril 2014]
Historical Performance Achievement
(before start-up of 11FYP)
Projections for indicator (targets) under 11FYP
Fiscal Year
2012
2013-14
2014-15
2015-16
2016-17
2017-18
T-1
16628
T
18508
T+1
20388
T+2
22268
T+3
24148
T+4
26027
2011
11FYP Year
Targets (Improved pasture and
Winter Fodder)
Actual achieved
ANALYSIS OF INDICATOR BEHAVIOUR:
There has been an average yearly increase between 2008 and 2012 of around 3360 framers are
noted to have stall feeding and about 130 bio gas plants established between 2012-2014. With the
new policy of livestock commodity development in the 11th FYP, it is expected that the stall
feeding and Biogas plants establishment will increase to 5500 stall feeding units and 2500 biogas
plant by the end of 2018.
With the increase in the stall feeding and number of biogas plants in the 11thFYP, it is expected that
the Improved pasture and winter fodder support will increase from 16628 Acres in 2012 to 26027
Acres in 2018.
This will be through focus program implemented by National Centre for Animal Nutrition
established under the Department of Livestock.
OTHER RELATED INDICATORS:
Number of Improved cattle
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Mr. TshewangTashi,Livestock Officer, Department of Livestock, Ministry of Agriculture and
Forestry, Thimphu, Bhutan
Phone: +975 2 335399
E-mail: tshewangtashi@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
M&E Frame GCCA - CCAP Ver July TNA
Page 41
Stage
in
Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the
collection
instrument)
Data collection (who is
responsible
for
collecting)
Data processing (who
carries out data entry
and data processing
and how)
Data
presentation
(how)
Data reporting (by
whom to whom)
Inputs required for
data
management
(when and by whom)
Description
Primary data needed for this indicator are Increased acreageDzongkhag
wise in the improved pastureand winter fodder development support
Data will be collected from the Dzongkhags through prescribed format
Dzongkhag livestock officers will be responsible for collecting the data on
monthly/quarterly/annual and route it through RLDC to NCAN.
NCAN will be responsible for data entry and data processing using MS
access or any other software
Data presentation will be done through NCAN quarterly report/annual
report and DoL annual report
Data on this indicator will be reported by NCAN to IMS, DoL and IMS,
DoL report to PPD, MoAF
Since the data are being collected by the Dzongkhag livestock staff (geog
extension staff) as part of their regular programme, no major extra inputs
are required for data management of this indicator. However, a centralised
training of 7-10 days should be carried out for Gewog extension staff and
Dzongkhag staff in Basic computer operation, Data management and basic
statistical analysis. Supply of computers in the geogs where there are no
computers
Cost of verification
Verification and validation of the data quality are carried out at Dzongkhag
level, RLDC level and finally at NCAN
Data quality and risk Potential problems with data quality are described in the Livestock Statistics
assessment (who and 2009 Report. Many of the problems are due to the low literacy rate
how)
amongst farmers and their poor understanding. Farmers do not keep their
own records. Further statistical training is needed amongst staff throughout
the DOL, especially in the IMS. Many errors in data presentation could be
avoided by care in checking statistical tables, especially looking for
misplaced decimal places, column headings errors, wrong number entry etc.
The DOL needs strengthening with regard to information and statistics
management, both in terms of additional staff and their training at the
Information Management Section within DOL.
ANY SUPPLEMENTARY INFORMATION:
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Page 42
Annexure 2: Indicator Description for DoA Activities
INDICATOR CODE:
T4
SIMPLIFIED NAME OF INDICATOR: Area (in acres) under Organic Agriculture is increasing.
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION: Area (in acres) under Organic Agriculture.
RATIONALE FOR INDICATOR:
Organic Agriculture (OA) follows key principles of conserving ecology and promote sustainable
farming technologies. In the light of climate change, OA has proven to be more resilient and better
suited to small holder farmers around the world. Organic agriculture technologies follow sound
science based principles and depend minimally on exterrnal inputs. It has been proven that OA has
greater potential for carbon sequestration by way of nutrient cycling through increased
incorporation of organic matter in the soil in the form of compost, farmyard manure (FYM) and biofertilizers. Effecient use of organic biomass through composts and FYM would significantly
contribute towards reduction of the green house gas emission into the atmosphere.
Organic farming unlike conventional agriculture is less energy intensive in terms of fossil-fuel
consumption and reduce carbon foot-print, both in terms of food production and marketing. It has
been proven that OA out-perform conventional agriculture in long spells drought and climate
extreme periods achieved through enhanced soil organic amendments and use of locally suited
technologies such as seeds, bio-control agents and local beneficial microbes.
In line with the vision of the government to promote sustainable agricultural system, the Ministry of
Agriculture and Forests (MoAF) envisions to promote organic agriculture as a mainstream farming
system in the potential areas of the country. The use of chemical inputs (fertilizers and pesticides) is
very much limited to certain pockets of the country. Thereby indicating that most cultivated areas
around the country is organic by default, further there is more virgin forest areas used for collection
of Non-wood forest products (NWFPs) which qualify as an organic production area.
In order to meet the vision of the RGoB, MoAF and in pursuant to Economic Development Policy
(EDP) of Bhutan commenced in 2010, and in light of huge advantages of organic agriculture
towards climate change adversities over conventional agriculture, there is certainly a strong need to
increase the area (acres) under Organic Agriculture in Bhutan by expanding the existing organic
agricultural land and converting some of the conventional agricultural fields to organic. Increased
area (acres) under OA means increased agricultural land protected against the harmful impacts of
climate change. Therefore, in accord to the afforementioned stands, the target of increasing the area
(acres) under organic cultivation is highly justifiable.
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Page 43
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Projections for indicators under 11th FYP
Historical Performance Achievement
(before start-up of 11th Five Year Plan
(FYP)
Calendar Year
GCCA Year
2005
2006
2007
2008
2012
2013
40627*
2014
40637
2015
40667
2016
40697
2017
40727
2018
55560**
Actual achieved
The cost per acre is Nu. 10,000 with a total area increase of 100 acres (Organic asparagus
cultivation is excluded).
*Baseline Area in acres
**11 FYP target area.
ANALYSIS OF INDICATOR BEHAVIOUR:
The target of increasing the land area (acres) under organic agriculture in Bhutan is in line with the
long term mission and vision of the Ministry of Agriculture and Forests (MoAF), Royal
Government of Bhutan (RGoB) to make organic agriculture as an integral farming system in the
country. The Economic Development Policy (EDP) of Bhutan, which started in 2010, also directs
the Government to promote organic agriculture and develop Bhutan as an organic brand. Upon the
declaration of the former Prime Minister, His Excellency Jigme Y. Thinley to mainstream organic
agriculture in Bhutan at an international conference, couple of years ago, has caught the interest in
Bhutanese people for organic agriculture and the area under the same has been gradually increasing
over the years. For instance the demand for organic asparagus cultivation was in 6.2 acres in 201011, this increased to 32.09 and 95.80 acres in 2011-12 and 2012-13 respectively. Over these years
there was a total organic asparagus cultivation acerage of 134 acres.
Studies indicate that organic agriculture has many advantages over the conventional agricultural
practices towards the adversities of climate change. The carbon sequestration, flood control,
reduction in carbon foot print, higher yield in times of drought are some of the indicators of Organic
Agriculture that are suitable to sustain with respect to the current climate change aspects.Therefore,
increase in area under organic agriculture would entail on more area protected against the harmful
impacts of the current climate change scenerio. Owing to such objectives the increase in area (acres)
under organic agriculture in Bhutan is highly pertinent. The indicator (acerage) is highly suitable.
OTHER RELATED INDICATORS: Increase in Organic Crop productions in MT/year.
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Department of Agriculture (DoA), Ministry of Agriculture and Forests (MoAF).
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Norden Lepcha, Sr. Agriculture Officer, Department of Agriculture, Ministry of Agriculture and
Forests.
Phone number: 17378387
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Page 44
E-mail address: nlepcha1@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data Description
Management
Data type selection Primary data needed for this indicator is the total acreage of land (acres)
(what is data to be under organic agriculture.
collected and its level of
aggregation)
Data sources (what is The annual progress report submitted by the Dzongkhags shall serve as the
the
collection data source.
instrument)
Data collection (who is Dzongkhag Agricultural Officer (DAO) and his staff collect data as
responsible
for required to up-date the progress report. Geog level staff also provides
collecting)
information.
Data processing (who
carries out data entry
and data processing and
how)
Data
presentation
(how)
Data reporting (by
whom to whom)
Data are compiled by the National Organic Program (NOP) in Excel
spreadsheets.
Data are provided to users as simple printouts/soft copies.
Data are sent to the National Organic Program, DoA, at Thimphu and as
requested by the focal person.
Inputs required for data The concerned geog staff shall collect the primary data and submit to the
management (when and Assistant DAO who is also the official data manager at the Dzongkhag
by whom)
level. The ADAO shall then prepare into the prescribed excel sheets for
onward submission to the National Organic Program.
Cost of verification
Routine verification is at low cost as it can be carried out as part of the
regular DAO programme, down to geog level. However, while collecting
the data, travel to the field would entail certain minimum travel costs
which may have to be borne by the project.
Data quality and risk It is important that regular training of field staffs and quality check on data
assessment (who and is carried out. Most of the times, data quality is compromised when staffs
how)
do not receive adequate training in data collection and also when there is
no adequate supervision from the DAO and the ADAOs.
INDICATOR CODE – National Post Harvest Centre
INDICATOR CODE:
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T2
Page 45
SIMPLIFIED NAME OF INDICATOR:
Number
of
desseminated.
TYPE OF INDICATOR:
postproduction
technologies
Output
INDICATOR DESCRIPTION: Number of various postharvest technologies disseminated.
RATIONALE FOR INDICATOR:
Dissemination of appropriate postproduction technologies, through various channels is an integral
part of NPHC’s mandate. It is imperative for the key stakeholders to be made aware of technologies
and potential opportunities that may be suitable to curb the effect of climate change.
One of the challenges facing agriculture production globally is that regional climate regimes are
becoming more unpredictable from year to year. The effect of climate change on postharvest stress
susceptibility will become more important since postharvest stresses limit the storage and shelf life
potential of fruits and vegetables. Significant amounts of the food produced in developing countries
are lost after harvest thereby aggravating hunger. The causes of post-harvest losses, which some
estimates suggest could range from 15 to as high as 50 percent of what is produced.
Post harvest losses of fruits and vegetables is estimated at 40 to 50 per cent in Bhutan due to
improper handling, packaging and storage. Postharvest losses of cereal crops is estimated at 20 - 30
per cent in Asian countries and loss scenario in Bhutan would be much higher than other countries
where the actual estimation was determined. The change in climatic condition during harvesting and
storage intensifies the post harvest losses. Heavy rainfall during harvesting of potato and maize in
absence of proper storage shed leads to total distruction of produce in the filed. Postproduction
intervension on proper storage, drying and processing equipments would reduce the postharvest
losses by 5 to 8 per cent of fruits, vegetables and cereals. Thereby increasing the availability of local
produce and enhances the income of beneficiaries.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Calendar Year
GCCA Year
Historical
Performance
Achievement
(before start-up
of 1st RNRSP)
Projections for
indicator
(targets) under
original GCCA
2008
2010
14
2009
255
688
2011
1141
Projections for indicators under 11th five year plan
2012
2013
2014
2015
2016
2017
2018
1539
1803*
1813
1863
1913
1953
3120***
Actual achieved
Note:
Cost of potato and maize store construction is Nu. 40,850.00, Electrical dryer costs Nu. 10,000.00,
frying set costs Nu. 10,000.00. (The postproduction infrastructures are disseminated on cost sharing
basis, 50:50).
*The total consists of number of potato and maize stores, fruit and vegetable dryers and frying sets,
this also serves as the baseline for the subsequent planned years.
***11 FYP target being 3120 Units.
ANALYSIS OF INDICATOR BEHAVIOUR:
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Postproduction technologies are need based. The attempt has been made to develop simple, cost
effective and esay to operate technologies. Such technologies were being provided to individual
farmers on the concept of storing or processing individually and marketing collectively.
Technologies such as potato seed stores, maize cob/seed stores, fruit and vegetables dryer and
frying sets for potato and banana chips were initiated in the 10th fifth year. Since then the demand
has been ever increasing where the cost of technologies were fully borne by the government. Every
year 300 to 500 units of postproduction technologies were disseminated through out the country.
In the 11th fifth year most of these technologies will be supported on cost sharing basis, where the
beneficiaries will contribute local materials and labour. Although we have planned for 200 to 300
postproduction technologies to be disseminated every year, however the activities were liable to
change as per the budget. New technologies such as zero energy cold stores, ambient store and
pack-houses will be intorduced for efficient and effective storing of fruits and vegetables at low
cost. Providing an alternative to reduce glut during the season and extending the availability of local
produce over longer duration. As a whole contributing to the food security and assuring balance
diet.
OTHER RELATED INDICATORS: Increase in availability of local produce during off-season in per
cent. Value addition and processing entreprenuers developed in number.
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
National Post Harvest Centre, Department of Agriculture, Ministry of Agriculture and Forests.
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Dechen Tshering, NPHC, DoA, Ministry of Agriculture and Forests
Phone number:00975 8272406, 00975 8271493
Fax number: 00975 8271494
E-mail address: dechentshe78@gmail.com/ dechen_tshering@druknet.bt
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data Description
Management
Data type selection Primary data needed for this indicator is number of units or postproduction
(what is data to be technologies established.
collected and its level of
aggregation)
Data sources (what is Annual report by the centre through monitoring and evaluation of
the
collection postproduction infrastructure disseminated.
instrument)
Data collection (who is Data will be collected by the NPHC monitoring and evaluation team.
responsible
for
collecting)
Data processing (who Data are compiled on Excel spreadsheets.
carries out data entry
and data processing and
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Stage
in
Data
Management
how)
Data
presentation
(how)
Data reporting (by
whom to whom)
Description
Data is provided to users as simple printouts
Data is sent to the Horticulture Division, DOA, at Thimphu and as
requested by the focal point.
Inputs required for data The focal person at the centre will compile data submitted by the
management (when and evaluation and monitoring team.
by whom)
Cost of verification
Data collection through evaluation and monitoring of the infrastructures
disseminated on annual basis. However, while collecting data travel to the
field would entail certain minimum travel costs which may have to be
borne by the project.
Data quality and risk It is important that regular training of evaluation and moniroting team
assessment (who and should be given. Data collection format should be developed and report
how)
should be submitted as per the designed format.
INDICATOR CODE:
T3
SIMPLIFIED NAME OF INDICATOR: Area (in acres)
management interventions (SLM).
TYPE OF INDICATOR:
increased under sustainable land
Output
INDICATOR DESCRIPTION:
interventions.
Area (in acres)
increased under sustainable land management
RATIONALE FOR INDICATOR:
Climate change and land degradation are more of two sides of same coin. Since land degradation is
a serious socio-economic and environmental threat and SLM is a solution to land degradation,
climate change, food security and poverty alleviation, there is a serious need to make significant
increase in public investment in SLM. In Bhutan, forest fires, excessive use of forest resources,
over-grazing, unsustainable agricultural practices, poor irrigation system management, construction
of infrastructure such as farm roads without proper environmental measures, mining, industrial
development, and urbanization are the key causes of land degradation.
The Sustainable Land Management Project housed under National Soil service Center had
successfully piloted and documented SLM best practices and approaches that are suited on steep to
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Page 48
very steep slopes of Bhutan. The case study conducted observed that particularly grass hedgerows
reduce annual soil loss by about 44% (annual soil loss 29MT/Ha/Yr).
Furthermore, the benefits of actions to combat land degradation in Bhutan will not be limited to the
country but will be trans-boundary in geographic scale. The protection of watersheds in Bhutan
from adverse land use practices, whilst being crucial to sustain hydropower development and
agriculture within the country, will also be enormously important to the livelihoods of many
downstream communities in the floodplains of India and Bangladesh, who largely subsist on crop
agriculture and fishery.
It is also important that we take proactive measures to combat land degradation and its impacts
because our landscapes are extremely vulnerable to climate change as a result of the fragile
geological conditions, intense rainfall, and rugged topography. Not only do well-managed
landscapes play an important role in moderating the impacts of climate change, they also function
as a major carbon sink.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS
:
Historical
and
Projected
Historical
Performance
Achievement (before start-up of
1st RNRSP)
Calendar
Year
GCCA Year
Actual
achieved
2009
Projections for indicator (targets) under 11 FYP
2012
2013
2014
2015
2016
2017
2018
8071*
8081
8095
8110
8125
8140
11071**
Nu 50000/Ac unit cost is assumed as per standard
*’ Baseline target being set at 8071 acres ( acheived during SLMP period).
**11 FYP target being 11071 acres. ( Increase by 3000 Ac in 11FYP)
ANALYSIS OF INDICATOR BEHAVIOUR:
It is estimated that worldwide 1.97 billion hectares of all usable land have been affected by various
forms of human-induced land degradation. Deforestation, overgrazing, fuel wood consumption,
agricultural mis management, industries, urbanization, and infrastructure development are the key
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Page 49
causes. Poverty, population growth and natural factors such as extreme climate and unstable
geology also contribute significantly.
The Royal Government of Bhutan has been implementing various programs and projects to combat
land degradation since the advent of Five Year Plans in the early 1960s but they have been largely
taking place in a piecemeal fashion within individual sector plans and basically without macro-level
policy and strategic perspective. Vulnerable households face more constraints to adapt SLM
interventions due to small land holdings, the need for direct returns of their limited land holdings
and general lack of farm labour. Long-term character of many SLM interventions, with benefits
emerging over a long-term period, are inherent difficulty of SLM measures hampering easy
adoption and uptake.
Sustainable Land Management Project housed under NSSC funded by Global Environmental Fund
through World Bank had implemented large scale SLM programmes in three dzongkhags consisting
of nine geogs. SLM interventions reached to other dzongkhags through supporting thematical calls.
At the end of project period by June 2013, 8071 acres of unsustainable land were converted under
sustainable land management practices. More so in the past FYP, SLM hardly featured in the geog
and dzongkhag annual plans as SLM plans were usually executed centrally. However, in the 11
FYP, the SLM interventions were mainstreamed and reflected in the geog and dzongkhag plans.
Further, to facilitate the uptake and adoption of SLM best practices, it is important to initiate policy
development aimed at providing incentives or rewarding farmers for converting their land to more
sustainable practices such as Payment for Environmental Services (PES).
OTHER RELATED INDICATORS: Increase in area under terraced dryland, contour hedgerows and
contour bundings
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
NSSC, Simthokha Department of Agriculture, Ministry of Agriculture and Forests.
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Chenga Tshering, Agriculture officer, NSSC, DoA Ministry of Agriculture and Forests
Phone number: 17963782
E-mail address: Hakadrukpa@gmail.com
FOR INDICATOR MANAGEMENT:
Stage
in
Management
Data Description
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Stage
in
Data Description
Management
Data type selection Primary data needed for this indicator are total acres of land command
(what is data to be area under improved SLM interventions.
collected and its level of
aggregation)
Data sources (what is
the
collection
instrument)
Data collection (who is
responsible
for
collecting)
Data processing (who
carries out data entry
and data processing and
how)
Data
presentation
(how)
Data reporting (by
whom to whom)
Inputs required for data
management (when and
by whom)
Cost of verification
The annual progress report submitted by the dzongkhags/NSSC shall serve
as the data source.
LMU unit and Dzongkhag Agricultural Officer (DAO) and his staff collect
data as required to up-date the progress report. Geog level staff also
provides information.
Data are compiled on Excel spreadsheets.
Data are provided to users as simple printouts
Data are sent to the Agricutlure Division, DOA, at Thimphu and as
requested by the focal point.
The concerned unit incharge shall collect the primary data and compile the
annual progress report. Informations will also be collected from DAO”s
and RNRDC’s.
Routine verification is at low cost as it can be carried out as part of the
regular unit programme. However, while collecting data travel to the field
would entail certain minimum travel costs which may have to be borne by
the project.
Data quality and risk SLM data base training could be initiated so that data quality are up to
assessment (who and mark.
how)
INDICATOR CODE:
CCA-VT-3
SIMPLIFIED NAME OF INDICATOR:
Efficient Irrigation Systems for Horticulture Cash
Crops
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
Area (in acres) under efficient irrigation systems for horticulture cash crops is increasing (through
water harvesting, water storage, drip irrigation, sprinkler irrigation)
RATIONALE FOR INDICATOR:
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Irrigation has previously been associated only with wetland farming, and irrigation in dryland
farming areas is a relatively new concept in Bhutan. The irrigated land in the country is less than
18% of the total arable land, and it is mostly focused on rice cultivation. The horticulture crops,
fruit crops in particular, are hardly irrigated although agriculture exports are dominated by
horticulture crops.
Technology options for improved water delivery systems and efficient methods to irrigate crops
have not been explored in great depth so far. Programmes on water harvesting, efficient water
delivery systems, water storage structures, use of groundwater, and modern irrigation technologies
(drip, sprinkler) are at an infancy.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Calendar Year +
RNR-CCAP Year
Targets related to 11th FYP++
Actual achieved
Historical
Performance
Achievement
(Before
start-up
of
RNRCCAP)
2010
2011
Projections for indicator (targets)
With RNR-CCAP support
2012
T
0
2013
T+1
0
2014
T+2
30*
2015
T+3
150*
2016
T+4
350
Projections for
indicator (targets)
under remainder of
11th FYP but
currently outside
RNR-CCAP funding
2017
2018
550
741
+
CY is the year for which performance data are collected for budget release eligibility in July of the
following year; in the case of process indicators under RNR-CCAP performance may be delayed as
late as June
++
Targets are cumulative and relate to total acres achieved in Bhutan (Including those in the four
target RNR-CCAP Dzongkhags)
T is baseline year
T+1 is first year with a budget release in July
* Performance achievement used to trigger release of 25% of Variable Tranche for FY 2015-16
** Performance achievement used to trigger release of 20% Variable Tranche for FY 2016-17
ANALYSIS OF INDICATOR BEHAVIOUR:
Piloting of improved water delivery and efficient irrigation methods has been introduced in dryland
farming areas in recent years e.g. by SNV. This concept is being slowly adopted but at a very slow
pace as farmers are not very used to irrigating dryland crops. Farmers depend on the south-westerly
monsoon rain that accounts for 60 to 90 % of annual precipitation for their crops. Climate change
effects, including erratic weather patterns, have rendered dryland farming highly vulnerable to
water shortages at critical times in the agricultural calendar making these farmers highly food
insecure.
Since there is no previous data collected on this irrigation system, there is no accurate baseline,
hence the DOA is about to establish a data management system for this indicator. The DOA
considers the baseline year in 2012 to have 0 acres under this type of irrigation and the 11th FYP is
the first plan period to embark on up-scaling this model of irrigated horticulture crops.
OTHER RELATED INDICATORS:
Increasing annual production of horticulture crops in MT/year (disaggregated by crop type)
Yields of horticulture crops increasing in MT/ha/year (disaggregated by crop type)
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INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Ms KinlayTshering, Chief Horticulture Officer, Horticulture Division, Department of Agriculture,
Ministry of Agriculture and Forestry, Thimphu, Bhutan
Phone: 00 975 17757240
E-mail: kinlaytshering@moa.gov.bt
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Karma Tshethar, Chief Engineer (Irrigation Specialist), Engineering Division, Department of
Agriculture, Ministry of Agriculture and Forestry
Phone number: +975 2 17593718 (Office)
E-mail address: karmatshethar@yahoo.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage in Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the collection
instrument)
Description
Primary data needed for this indicator are total acres of efficient irrigation
system for horticulture cash crops (using water harvesting, water storage,
drip and sprinkler systems)
At the time of the JAR1 mission there was no database for this indicator.
After a series of meetings at DOA, it was decided to establish a central
database at the Chief Engineer’s Office. The database is expected to
include: Gewog name, GPS location, name of primary water source and
type, length and type of pipes to fields, type of delivery systems
(drip/sprinkler), number of beneficiary households, command area in acres,
status (functional) or non-functional), funding sources and amount used,
horticulture cropping pattern, land conservation system (bench terracing,
individual platforms, small basins), etc. All Dzongkhags will collect the
data.
Data collection (who is Dzongkhag Agricultural Officer (DAO) and his staff will collect data as
responsible for
required to up-date the database. The concerned RNR Gewog staff will
collecting)
collect the primary data and submit to the Assistant DAO who is also the
official data manager at the Dzongkhag level. Consideration should be
given to using a mobile-based data collection system on a pilot basis for
collecting this data. If found to be successful, it could also be used for other
CCA activities including early warning and climate event logging.
Data processing (who
The ADAO will then input into the prescribed Excel sheets for onward
carries out data entry
submission to the Chief Engineer at the DOA in Thimphu.
and data processing
and how)
Data presentation
Data are provided to users either as Excel files or as simple printouts
(how)
Data reporting (by
Data are sent to the Engineering Division, DOA, at Thimphu on a quarterly
whom to whom)
basis, and/or as requested by the Chief Engineer.
Inputs required for
Since the data will be collected by the Dzongkhag administration as part of
data management
their regular programme, no major extra inputs are required for data
(when and by whom)
collection or management of this indicator. New irrigation command areas
have to be mapped and acres measured by DAO staff for inclusion in the
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Stage in Data
Management
Cost of verification
Data quality and risk
assessment (who and
how)
Description
local database. Since the areas are considered to be quite small, at least
compared to paddy irrigation areas, the time taken to carry out surveys will
be manageable. Surveying equipment and other field resources may be
required.
Routine verification is at low cost as it can be carried out as part of the
regular DAO programme down to Gewog level. Any specialised surveys
using consultants will be of moderate to high cost viz. the 2013 World Bank
Study
Since this is a new activity for data collection, it is important that regular
training of field staff and quality checks on data be carried out by staff from
the Engineering Division in Thimphu or through external consultants.
Training in the new database will be required.
ANY SUPPLEMENTARY INFORMATION:
Maps with locations of all the efficient irrigation systems would be useful. If GPS records are
collected accurately then data can be entered at one of the GIS nodes in MOAF.
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Annexure 3: Indicator Description for DoFPS Activities
INDICATOR CODE:
Forest Plantation
SIMPLIFIED NAME OF INDICATOR:
Areas in ha of State Forest(SF) land brought under
plantation
TYPE OF INDICATOR:
INDICATOR DESCRIPTION:
Output
Areas in ha of SF land brought under plantation.
This will help to increase forest cover which in
turn will sequester carbon and carbon stock
enhancement in face of climate change
RATIONALE FOR INDICATOR:
Plantation forestry is planting of trees or plants in barren, eroded, degraded, and logged government
forest lands or in registered private or institutional lands to increase the production capacity by
planting suitable species to fulfill increasing local and industrial demands; biodiversity
conservation, carbon sequestration, protection of soil, water catchment and environment
conservation.
With current developmental trend, peoples’ demand for forest produce is escalating over the years
exerting huge pressure on the forest and the environment. The Department has over the years
worked towards maintaining a balance between its conservation efforts without undermining
peoples’ demand for forest produce.
This is where Plantation forestry comes in. It also plays a vital role in maintaining a minimum of 60
% forest cover for all times to come as mandated by the Constitution of Bhutan, especially at a time
when the country is developing at a rapid phase.
Recognizing the vital role plantation program plays, the program has also been given great
weightage in the 11th FYP with a target of about 24858 hacteres, which counts to about 400 ha
annually.
Through this program, areas such as land slide prone areas, degraded and barren forest lands
brought under plantations will enhance forest product and ecosystem services and further contribute
to rural livelihood through employment opportunities.
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INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical and Projected Trends for Forest Plantation Areas in Ha
Historical
Performance
Achievement (before start-of
11th FYP)
Future projection for 11th FYP
Fiscal year
1946-2013
2013 - 14
2014 -15
2015-16
2016-17
2017-18
23258
23658
24058
24458
24858
400
400
400
400
400
Actual achieved
22858
DoFPS records
Fiscal year target
Note : The targets set are cumulative of all types of plantation including in Community Forest,
Lease Land and SF
ANALYSIS OF INDICATOR BEHAVIOUR: The history of recorded forest plantation dates
back to 1947 long before the establishment of the Forest Department in 1952. The first recorded
plantation was carried out by civil authority at Gelephu under Sarpang Dzongkhag. Since then,
Plantation has come a long way totaling to about 22858 hacteres of plantation recorded in 2013.
From the total of 22858 ha plantation carried out so far most of the plantations are recorded in
southern Bhutan which has been undertaken under the project aimed at greening the southern belt in
late 1970s. On an average 350 ha plantations have been carried out annually till 2013.
Currently, planted forests have success immensely in recouping the logged and barren forest areas
in Bhutan. Thinning from plantation forests has also contributed to meet timber demand; mainly
poles size timber requirement.
OTHER RELATED INDICATORS:
 Area in acres of plantation carried out.
 Number of plantations carried out in Dzongkhag, Territorial Forest Division,
NRDCL and Public Corporation Agencies.
 Percentage of forest cover increased
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
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Social Forestry and Extension Division, Department of Forests and Park Services, Ministry of
Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Gyeltshen Drukpa, Chief Forestry Officer, Social Forestry and Extension Division, Department of
Forests and Park Services, Ministry of Agriculture & Forests
Phone: +975 2 323138; Fax: +975 328394
E-mail: gyeltshendrukpa@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data Description
Management
Data type selection (what Primary datum needed for this indicator is areas in hectares of plantation
is data to be collected and carried out. This indicator can also be expressed in terms of acres of
its level of aggregation)
plantation.
Data sources (what is the Plantation data is collected using GPS, which is mainly used for identifying
collection instrument)
the boundaries and calculating areas. Data are maintained at Dzongkhag,
Division and NRDCL offices that are periodically sent to SFED for
nationwide compilation in prescribed format form.
Data collection (who is Dzongkhag, Territorial Division and NRDCL offices are responsible for
responsible
for collecting plantation data, which are then sent to SFED for record
collecting)
Data
processing
(who Plantation data are collected by Dzongkhag, Division and NRDCL. Data
carries out data entry and entry and compilation are done in prescribed format by respective
data processing and how)
implementing agencies as no processing is required.
Data presentation (how)
Currently the data is stored in temporary excel database format.
The data stored and validated at SFED is sent to the Forest Information
Management Section (FIMS), DoFPS. The data are then maintained in the
Forest Information Database (FID) and used for publishing annual forestry
statistics and other technical reports which is used for policy formulations.
However, the FID still need to be upgraded and once proper database
system is developed within the ministry, the plantation record will be used
to work out carbon stock in planted forests.
Data reporting (by whom On completion of data compilation in SFED, data will be reported annually
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Stage
in
Data Description
Management
to whom)
to the Ministry through FIMS, Department of Forests and Park Services for
reference and record.
Compiled data can be given to other agencies to serve as statistical
information for reference and record and copy to the funding agencies for
the plantation carried through donors funding agencies.
Inputs required for data The most important input required is to have enough incentives for the field
management (when and offices to carry out plantations in terms of fund for Travel and Daily
by whom)
allowance. Basic infrastructures like computers and printers are also
required to maintain record of plantations.
Funds are require to support Travel and Daily Allowances being paid to the
SFED staff, vehicles expenses to monitor and verify the plantation data
submitted by the implementing agencies like Dzongkhag, Division and
NRDCL.
A reliable and upgraded database and storage facilities is required in SFED
and the Department to store the compiled plantation data And for further
processing.
Cost of verification
Data verification may be needed if the information submitted by the
agencies (NRDCL, Dzongkhag Forestry Sector and Divisions) deviates
from the technical sanction approved by DoFPS. However the additional
cost is not required beside travel allowance and vehicle expenses.
Data quality and risk SFED not only initiate funding source for the plantations and CF
assessment
how)
(who
and development for the implementing agencies, but also render
technical
support for plantation. Timely monitoring and assessing of plantation data
collected are verified and examined for correct data quality and accuracy.
The survival percentages of each plantation area examined annually to
assure success of the plantations. Further the compiled plantation records
are crosschecked by SFED for reliable and accurate information to avoid
compromising the quality of data.
ANY SUPPLEMENTARY INFORMATION:
On compilation of plantation data, these data will be used to work for the calculation of carbon
stock available in the planted forests.
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To help forest the degraded land and to maintain existing plantation, adequate fund is required.
Apart from the usual RGoB funding, additional funds
will be seeked frorn reliable funding
agencies like UNFCCC and REDD+. The funds secured shall prove of great help to achieve the
Departments mandate and also to continue maintaining the constitutional mandate of atleast 60 %
forest cover for all times to come
INDICATOR CODE:
SIMPLIFIED NAME OF INDICATOR:
Watershed Assessment &Planning
No. of Watershed assessed and Management plans
for degraded/critical watershed within major river
basins developed & implemented (Punatsangchhu,
Wangchhu, Mangdechhu & Kurichhu)
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION: No. of watershed assessment carried out and management
plans for selected watersheds developed for undertaking interventions to address watershed related
issues given adverse impacts if climate change on water resources.
RATIONALE FOR INDICATOR:
Well managed watersheds play a pivotal role in supplying a wide range of goods and services both
on-site and downstream. They are the basis for sustainable agricultural, forestry and pastoral
pursuits, sustaining biodiversity and for providing other environmental benefits as well as water for
local and downstream use. Sound watershed management also aids in mitigating potential disaster
risks, such as landslides and flash flooding.
The production of hydro-power for local use and export, contributes about 24% to Bhutan's GDP
and this is expected to rise further with the planned construction of more hydro-plants, making
electricity generation the single biggest contributor to the economy. Consequently, a reliable supply
of good quality water is the most valuable commercial product derived from watersheds. Therefore,
the maintenance and improvement of the country's watersheds is a high management priority, not
only for hydro-power, but also for domestic use, irrigation and disaster mitigation.
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This program will work towards maintaining environmentally and economically healthy
watersheds.
Sustainable management and rehabilitation of degraded watersheds has been an implicit and explicit
part of various policy frameworks in Bhutan for many years, and watershed management appears in
most of the country’s policy documents. The Department of Forests and Park Services (DoFPS) has
the primary responsibility for planning and coordination of Watershed Management, although
responsibilities for specific land management aspects are spread across many agencies.
The implementation of the program shall pursue a two-pronged approach that will distinguish
activities to be carried out on their own at a strategic level; and those activities that must be
integrated, incorporated and harmonized into the implementation plans of other area-based
development, conservation and management programs within and outside the Ministry. These
include the regular development plans of the Dzongkhags and Geogs as well as the land-use specific
planning frameworks such as those that apply to FMUs, PAs, CFs.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical performance
achievement
Projections for indicators (targets) under 11 FYP
(before
start of 11 FYP
Fiscal Year
2011
Targets related to 11 FYP
2012
2013-14
2014-15
2015-16
2016-17
2017-18
71
79
87
95
103
111
ANALYSIS OF INDICATOR BEHAVIOUR:
Before the creation of the Watershed Management Division in 2009, the watershed-related program
was managed by one of the sections under the Social Forestry Division of DoFPS. Under this
arrangement, one of the achievements was successful completion Wang Chhu Watershed
ManagementPlan. The then EU-funded Wang Watershed Management Project, various integrated
activities were implemented in the Wang watersheds. Although the importance of watershed
management was recognized at that time, noticeable progress could not be made due to a lack of
capacity and dedicated division.
However after creation of a separate division (the Watershed Management Division), which has
primary mandates to carry out watershed assessment and develop watershed plans amongst others,
tremendous progress has been made. The Watershed Management Division has, for practical
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implementation purposes, delineated all the watersheds across the country using a threshold of 5000
ha (50 km2) and has assigned unique identify numbers for each of these. Based on the above
delineation, there are 186 watersheds in Bhutan. During the 10th FYP, two major river basins (Wang
Chhu and Punatsang Chhu) comprising 71 watersheds were assessedand identified 2
critical/degraded watershed each from 2 major basins. The division also published Road Map for
Watershed Management in Bhutan, 2011 which guide watershed management and planning in the
country.
OTHER RELATED INDICATORS:
 Areas (in hectares) covered by watershed assessment activities
 No. of geogs or villages within the watershed area where watershed assessment activities
are implemented
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Watershed Management Division (WMD) under the Department of Forests and Park Services
(DoFPS), Ministry of Agriculture and Forests (MoAF)
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
The Chief Forestry Officer, Watershed Management Division, Department of Forests and Park
Services, Ministry of Agriculture & Forests
Phone: +975 2 323568
E-mail: pemaparop@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
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Stage
in
Data
Description
Management
Data
type
selection
Primary data needed for this indicator is the number of watersheds for
(what is the data to be
which assessment has been completed. This indicator can also be expressed
collected and its level of
in terms of area in hectares for which watershed assessments have been
aggregation)
carried out.
Data sources
Watershed assessments are undertaken using the approved Watershed
(what is the collection
Classification Guideline which classifies each tributaries into 3 categories
instrument)
(Pristine, Normal and degraded/critical) according to 22 criteria. For each
assessed watershed, hard copies of the assessment forms are retained on file
and the raw data is stored in an Excel spreadsheet. Maps showing the
number of watersheds in a particular river basin are also stored on file.
Data collection
Under the coordination of the WMD, the GIS officer is entrusted with the
(who is responsible for
responsibility of keeping records (both in hard & soft copy format) of all
collecting the data)
assessed watersheds.
Data processing
(who carries out data
The data collected for each watershed is compiled according to the criteria
entry & data processing
used during the assessment process.
and how)
Data presentation (how
Once the relevant data is compiled, each watershed is classified as either
is the data presented)
Pristine, Normal or Degraded/Critical.
The watershed assessed by the concerned extension agents in the geogs are
verified by the technical team from WMD in collaboration with other
relevant division of DoFPS.
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Data
reporting
(by
whom to whom)
On completion of the river basin classification, the results are presented to
all relevant stakeholders at Dzongkhag and Geog level. As for the
degraded/critical watersheds, results are presented right down to the
Chiwog level for subsequent planning and implementation of watershed
activities. Initially watershed assessment has to be done using the criteria
from the guideline for classification of watersheds. A team from WMD
assess the watershed in collaboration with the RNR extension officers and
at the same time using the GPS for the mapping. In addition to the scoring
of the criteria, flow discharge is also measured using the velocity-area
method.
Cost of verification
As WMD is the coordinating office for watershed classification in all major
river basins and developing river basin management plans, frequent field
monitoring and technical supervisory being carried out by the division to
ensure watershed activities are incorporated into geog and dzongkhag plans
and accordingly implemented. Thus, till date there was no additional cost
involved for verification as the cost was internalized in forms of normal
TADA being paid to officials from WMD. However, in future for
monitoring and technical backstopping of watershed program in the
country, an additional cost will be involved for transport and officials travel
allowance.
Data quality and risk
The rapid classification of watersheds was done using the guideline for
assessment
classification of watershed. The forms for classification of watersheds were
how)
(who
and
filled-in after visual assessment of the given watershed using transectwalks. Most of the criteria were filled-in using “expert judgment” and
mostly mean figures were used (for example, steepness of the slope,
distance of human activities from the stream, presence of mass movements,
etc). In order to remove/minimize personal bias in scoring of the criteria
and to be able to compare the conditions of the watersheds at different point
of time, normalization of the scores of each criterion was done using the
standard normalization equation:
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Normalization of score = a + (X-A) (b-a) / (B-A)
(1)
Where
a = minimum value of the new data set = 0
b = maximum value of the new data set = 100
X = value to be normalized
A = minimum value of the original data set
B = maximum value of the original data set
Substituting the values of a and b in equation (1), equation (1) becomes:
Normalization of score = (X-A) x 100
(2)
(B-A)
Using equation (2), all the scores for each criterion were normalized. The
normalized scores of the criteria used were added up and divided by the
number of criteria used to get the mean normalized score of each subwatershed. The mean normalized score determines the class of watershed as
follows: critical (≤ 33%); normal (34-66%); and pristine (≥ 67%) as per the
guideline.
The discharges of the streams were determined using the Velocity-area
method. This method requires determining the average velocity of the
stream and cross-sectional area of the stream. The average velocities of
the streams were determined using various floaters (orange buds, plastic
bottles filled with water; pieces of wood). A suitable, straight reach with a
minimum amount of turbulence was chosen, and an interval selected,
measured and marked on the bank at each end by pegs, or rocks. Ideally,
the marks should be far enough apart to allow a travel time of at least 20
seconds but in reality, such suitable stretch were difficult to find. The
interval should also overlap one or more surveyed cross sections to
determine the cross-sectional area. The discharges of the streams are
taken once when the assessment is done.
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ANY SUPPLEMENTARY INFORMATION:
Score %
Class of watershed
≤ 33
Critical Watershed - Need Immediate Actions
33 – 66
Normal – Need Periodical Monitoring
≥ 67
Pristine - No Action Required
Inputs
data
required
for Initially watershed assessment has to be done using the criteria from the
management guideline for classification of watersheds. A team from WMD assess the
(when and by whom)
watershed in collaboration with the RNR extension officers and at the
same time using the GPS for the mapping. In addition to the scoring of the
criteria, flow discharge is also measured using the velocity-area method.
Undertaking watershed assessment and classification has been a challenging task given the lack of
expertise (eg; hydrologist)besides challenges posed by difficult and unforgiving geographical
terrain. Once the assessment and classification of river basins are completed with its management
plans, assured funds for implementation of programs would be vital to maintain the healthy
watersheds for sustainable water use for drinking, irrigation and hydro power etc. and same time
enhance livelihood of the communities living within the watershed. Watershed Management is also
a sound approach in disaster risk mitigation (mainly landslides and local floods).
INDICATOR CODE:
CCA-VT-5
SIMPLIFIED NAME OF INDICATOR:
Area covered by National Forest Inventory
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
Areas in km2 for which National Forest Inventory (NFI) data collection is completed in Bhutan
RATIONALE FOR INDICATOR:
While forests are one of the largest terrestrial sinks of carbon, they are also one of the sources (from
deforestation and forest degradation) of CO2, which is a significant cause of global warming and
climate change. This statement underpins the role of forests in climate change mitigation and
adaptation vis-à-vis the impacts of climate change on forests are so intricately intertwined. Forests,
therefore, are important components in strategies for adapting to climate change. The National
Forest Inventory (NFI) was due to be completed during the 10th FYP; however, it will now be
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completed by end of the 11th FYP. The RNR-CCAP is funding the NFI in four target Dzongkhags;
it is one of the activities being supported within the framework of the Global Climate Change
Alliance (GCCA) support to Bhutan.
The NFI is one of the most important forest programmes, not only from the climate change
perspective, but it is important for its contribution to formulation and framing of policy and
legislation which will contribute towards sustainable management of forest resources in the country.
Therefore, NFI is a prioritized activity in the 11th Five Year Plan, especially as it is only through
NFI that the required baseline data on forest resources can be generated and established.
NFI data provide the baseline figures for forest resources such as: (i) type, extent and quality of
forest ecosystems, (ii) number of trees per hectare, (iii) volume and basal area per hectare, (iv)
canopy cover, (v) pests and diseases affecting forest health and vitality. The data will provide
information on carbon sequestration (total carbon stored within Bhutan’s forests). The NFI will
generate data on biodiversity, ecological disturbances (incidences of forest fires, human
disturbances, and wildlife data).
Climate change models can be developed to assess the resilience of forest ecosystems to climate
change and its impact using NFI data. In order to carry out the modelling, the DOFPS will need
support in the form of technical assistance, capacity building, and funding to carry out this work.
RNR-CCAP and FAO could form a partnership to carry out this work.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical Performance
Achievement
(Before start-up of RNR-CCAP)
Projections for indicator (targets)
With RNR-CCAP support
Calendar Year +
RNR-CCAP Year
Targets related to
11th FYP++
Actual achieved
2008
2009
2010
2011
2012
T
0
2013
T+1
8448
2014
T+2
18896*
2015
T+3
25680**
2016
T+4
38394
Projections for
indicator
(targets) under
remainder of
11th FYP but
currently
outside RNRCCAP funding
2017
2018
38394
38394
0
+
CY is the year for which performance data are collected for budget release eligibility in July of the
following year; in the case of process indicators under RNR-CCAP performance may be delayed as
late as June
++
Targets are cumulative and relate to total area in km2 covered by NFI (Including those in the four
target RNR-CCAP Dzongkhags). There are 16 Cluster Plots per km2 surveyed under NFI.
T is baseline year
T+1 is first year with a budget release in July
* Performance achievement used to trigger release of 25% of Variable Tranche for FY 2015-16
** Performance achievement used to trigger release of 20% of Variable Tranche for FY 2016-17
ANALYSIS OF INDICATOR BEHAVIOUR:
The first field based forest inventory in Bhutan was carried out back in 1976-81 and was called the
Pre-Investment Survey (PIS). Available forest resource data are therefore more than 30 years old.
The objective of the PIS was limited to timber resource assessment, and the data from PIS were not
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available in a digital format. Data from that time are in the form of published reports and are not
easy to use for further analysis.
However, a number of remote sensing exercises such as Land Use Planning Project (LUPP, 1995),
Land Cover Mapping Project (LCMP, 2010) have been carried out after PIS, but no field based
exercise has been carried out so far. Therefore, the current NFI will be the first field-based exercise
after PIS to assess forest resources in Bhutan. Unlike PIS, the current NFI is more comprehensive
and it will generate and establish most of the baseline data required for comprehensive forest and
biodiversity resource management.
NFI has completed a total of 528 cluster plots covering 8448 km2 by end 2013. The remaining areas
(cluster plots) will be completed within the 11th FYP period. Currently there are committed funds
for 8 Dzongkhags (4 from EU GCCA supported RNR-CCAP, 2 from BTFEC, and 2 from EURNRSP), the target is set a:;
 10448 km2 (653 CPs) to be completed by end 2014
 6784 km2 (424 CPs) to be completed by end 2015
However, the remaining 13104 km2 (819 CPs) will be completed by end 2016, if further funding
becomes available.
OTHER RELATED INDICATORS:
Areas in Km2 for which NFI data collection is completed
Number of Cluster Plots for which NFI data collection is completed
Number of Dzongkhags for which NFI data collection is completed
Number of Gewogs for which NFI data collection is completed
Number of Dzongkhags with carbon stock assessment
Number of Dzongkhags with ecosystem resilience assessments for climate change
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Kinley Tshering, Chief Forestry Officer, Forest Resources Management Division, Department of
Forests and Park Services, Ministry of Agriculture & Forests
Phone: +975 2 327723; 324653; 330016
E-mail: kinleytshering@gmail.com
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METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage in Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the collection
instrument)
Description
Primary datum needed for this indicator is areas in km2 for which NFI data
collection is completed. This indicator can also be expressed in terms of
number of cluster plots.
The NFI data from cluster plots are being collected using state of the art
technology called Trimble Juno SC Global Positioning System (GPS),
which the 12 NFI crews comprising 5 forestry personnel are provided with.
These 60 foresters visit 2424 cluster plots laid on a 4 km x 4 km grid to
collect data. The data parameters being collected range from tree related
data such as height, diameter at breast height, crown cover; to wildlife and
other biodiversity related data including ecological disturbances.
Data collection (who is Under the coordination of FRMD, 12 NFI crews are entrusted with the
responsible for
responsibility for collecting NFI data from cluster plots.
collecting)
Data processing (who
The data collected by NFI crew using GPS are transferred to laptop
carries out data entry
computers at the end of the day. The data collected in the GPS comes in
and data processing
.SSF format files. These data are then transferred to FRMD at the end of
and how)
completion of fieldwork for the assigned plots. Currently, given lack of a
proper database system capable of storing, processing and analysing large
amounts of NFI data, the raw data are being stored in Excel databases,
which is a temporary database. Very soon the database system will be
developed and all the NFI data will be migrated to a proper centralised
database system.
Data presentation
Currently the data is stored in temporary Excel database format. Once the
(how)
proper database system is developed, it will be capable of generating most
of the data related to forest resources such as growing stock, volume per
hectare, number of trees per hectare and also biodiversity related data
besides ecological disturbances data.
Data reporting (by
Should we get the required funds, the targeted time frame for completion of
whom to whom)
NFI fieldwork is December 2015. Once fieldwork is completed, the results
of the NFI will be published and reports of NFI will be submitted by the
DOFPS to the National Government. Currently, as support for NFI field
work come in smaller funding packages from several donor agencies
(BTFEC, EU), semi-annual and /or annual progress reports are being
submitted to donors by the implementing agency (FRMD, DoFPS) on the
progress of the works.
Inputs required for
Given that NFI is in the field enumeration phase wherein the NFI crew are
data management
sent into the field to collect data from 2424 cluster plots, the inputs required
(when and by whom)
are mostly in the form of funds to support Travel and Daily Allowances
being paid to the crew and the payments for labourers and vehicles being
hired while conducting field works. Expenditure is also incurred for other
miscellaneous but complementary activities such as meetings with
stakeholders like local government officials (given that the support of local
government is critical for the success of NFI fieldwork) and printing of the
maps, etc.
Cost of verification
As FRMD is the coordinating office for NFI, frequent monitoring and
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Stage in Data
Management
Data quality and risk
assessment (who and
how)
Description
supervision is being carried out by NFI Coordinators and this forms an
integral part of the verification process. Thus, till date there was no
additional cost involved for verification as the cost was internalized in
forms of normal TADA being paid to officials from FRMD. However, very
soon a Quality Assurance and Quality Control (QA/QC) team will be
formed to cross check and verify the data being collected by NFI crew, for
which an additional cost will be involved.
There are different layers of quality control measure adopted for NFI.
Firstly, the use of Trimble Juno SC GPS itself is one of the means to ensure
quality data. Besides its capability to collect and store data, it also collects
time and date of data collection and the location (coordinates) of particular
places. Therefore, the crews have no room to submit fake data and/or data
from a wrong place without visiting sample plots. Secondly, within the data
collection form (uploaded in GPS), certain mandatory conditions are
included (such as plot numbers) without which the field crew cannot close
the data form or move to the next data collection process. Such
arrangements ensure that data collection is comprehensive.
Most importantly, as indicated above, very soon a QA/QC team will be
formed that will visit some of the plots for which data collection is
completed to re-collect the data, which will be cross-checked and verified
against data collected by NFI crews. This arrangement will ensure that the
data collected is of the required quality besides providing variance of NFI
data, which is very important from the statistical standpoint.
Finally, field crews submit the data to the FRMD, where further
comprehensive quality assurance measures, such as cleaning, verification,
and correction of coordinates will take place.
ANY SUPPLEMENTARY INFORMATION:
Once completed, the NFI will not only establish baseline forest resource data, it will also benefit
Bhutan in terms of fulfilment and/or verifying a number of international commitments that Bhutan
has, such as Carbon Neutrality commitment made at the 15th Conference of Parties (COP-15) of
UNFCCC.
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Annexure 4: Indicator Description for BAFRA Activities
INDICATOR CODE:
BAFRA 1
SIMPLIFIED NAME OF INDICATOR:
Increased accredited test parameters for the
National Food Testing Laboratory (NFTL).
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
The increased Nos of accredited test parameters
would enable NFTL to become fully functional.
RATIONALE FOR INDICATOR:
Bhutan has a rich & varied biological diversity of regional & Global importance, However in the
process of modernization of the Bhutanese economy through trade and with ever increasing
changes in the climate, the status of Bhutan biodiversity wealth are increasingly at risk from new
emerging pest & diseases and BAFRA’s capacity to effectively manage bio-security issues are
relatively under developed.
Currently the National Food Testing laboratory of the Bhutan Agriculture & Food Regulatory
Authority does not have the required capability and facilities to detect GMO/LMO at the moment to
prevent the entry of exotic pest & diseases which may enter the country as a result of climate
change. Given this, the indicator for testing GM food is being supported by the framework of
Global Climate Change Alliance (GCCA) support for Bhutan.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Projections for indicator (targets) under 11 FYP
Historical Performance
Achievement (before
start-up of 11FYP)
Fiscal Year
2010
2011
11FYP Year
Targets related to
2012
2013 -14
2014-15
2015-16
2016-17
2017-18
T-1
T
T+1
T+2
T+3
T+4
15
19
23
27
30
NA
15*
15
NA
15*
15
11th FYP
3Actual achieved
-BAFRA records
T-1 = baseline year
and T is the start year
*=In 2011 the 15 test parameters were developed however the accreditation was completed only in
2012
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ANALYSIS OF INDICATOR BEHAVIOUR:
The National Food Testing Laboratory began the ground work for accreditation since 2008 and was
Accredited for ISO/IEC 17025 in 2012. NFTL was accredited for a total of 15 test parameters in
2012, 3 in the microbiological discipline & 12 in the chemical discipline. The biotechnology
laboratory for detection of Genetically modified Organism (GMOs) was also established under the
NFTL in same year (2012). However, NFTL was not able to increase the scope of accredited test
parameters due to limited technical capacity & laboratory Equipments. But in the 11 FYP NFTL
target for 15 additional accredited test parameters if funds from EU-GCCA and RGOB are secured.
OTHER RELATED INDICATORS:
-
Functional LMO and GMO product detection laboratory
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Bhutan Agriculture & Food Regulatory Authority, Ministry of Agriculture & Forests
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Jambay Dorji, Offtg. Chief Laboratory Officer, National Food Testing Laboratory, Bhutan
Agriculture & Food Regulatory Authority, Ministry of Agriculture & Forests.
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data
Description
Management
Data type selection (what Primary data needed for this indicator is Nos of accredited test parameters
is data to be collected and
its level of aggregation)
Data sources (what is the Data will be collected by conducting laboratory test on food samples. The
collection instrument)
laboratory
test
procedure
are
based
on
international
standards
(FAO/APHA/BAM/IS methods)
Data collection (who is The National Food Testing Laboratory is responsible for collection of data
responsible
collecting)
Data
processing
(who The raw results of the laboratory test are entered in the Job Card by the
carries out data entry and Analysts/laboratory officer and the final test report are prepared by the
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Stage
in
Data
Description
Management
data processing and how)
sampling officer and signed by the signatory authority of the tests.
Currently, due to lack of proper Laboratory Information Management
System (LIMS) the raw data & results are being stored in excel and
Ms.Word.
Data presentation (how)
The data are present in the form of laboratory test results.
Data reporting (by whom The date shall be compiled by NFTL and submitted to the BAFRA Head
to whom)
Office.
Inputs required for data Given the fact that data is generated from testing samples, Inputs in the
management (when and form of funds for Equipments, Reagents, samples, human recourses and
by whom)
technical expertise are required by NFTL.
Cost of verification :
Since sample testing is a routine work carried out by NFTL, there is a
minimal cost of verification. However, cost in terms of TA/DA may be
incurred if laboratory staffs are sent out for sample collection.
Data quality and risk Once the NFTL gets accredited for the additional test parameters the test
assessment
(who
and results generated by NFTL on these test parameters are internationally
how)
accepted globally. The Data Quality & Risk Assessment will be done by
external assessors/Auditors of the National Accreditation Board for Testing
& Calibration Laboratories (NABL) of India.
ANY SUPPLEMENTARY INFORMATION:
INDICATOR CODE:
BAFRA 2
SIMPLIFIED NAME OF INDICATOR: Plant & Animal Quarantine Stations equipped with
decontamination facilities
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
Nos of plant & Quarantine Stations equipped with
decontamination facilities that would strengthen
the regulatory & quarantine system.
RATIONALE FOR INDICATOR:
Bhutan has a rich & varied biological diversity of regional & Global importance, However in the
process of modernization of the Bhutanese economy through trade and with ever increasing
changes in the climate, the status of Bhutan biodiversity wealth are increasingly at risk from new
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emerging pest & diseases and BAFRA’s capacity to effectively manage bio-security issues are
relatively under developed. Examples are the emergence of Gaint African Land Snails (GALS) and
frequent outbreak of Bird Flu. When such outbreak takes place the diseased plant and animal
products, and dead animal carcass from quarantine stations must be disposed using incinerators.
The incineration of these waste materials besides reducing the high cost of waste transportation and
landfill management also safeguards the environment and health of the people.
BAFRA currently has 5 quarantine stations established at the Major entry points such as Paro (Paro
International Airport), Samtse, Gelephu, Samdrup Jongkhar (Nanglam) and Phuentsholing, however
none of the quarantine stations are equipped with decontamination facilities to completely contain
the spread of such diseases. With increasing change in the climate conditions there is a high risk of
emergency of such new pest & diseases. Given this the indicator for equipping the existing Plant &
Animal Quarantine facilities with decontamination facilities is being supported by the framework of
Global Climate Change Alliance (GCCA) support for Bhutan.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Projections for indicator (targets) under 11 FYP
Historical Performance
Achievement (before
start-up of 11FYP)
Fiscal Year
2010
2011
11FYP Year
Targets related to
2012
2013 -14
2014-15
2015-16
2016-17
2017-18
T-1
T
T+1
T+2
T+3
T+4
5
5
5
NA
0
0
2
NA
0
0
2
5
11th FYP
3Actual achieved
-BAFRA records
T-1 = baseline year
and T is the start year
ANALYSIS OF INDICATOR BEHAVIOUR:
BAFRA established all the five Quarantine stations by 2010 however, none of the quarantine
stations were equipped with decontamination facilities so far due to unavailability of budget. But in
the 11 FYP BAFRA targets for equipping all the quarantine stations with decontamination facilities
if funds from EU-GCCA and RGOB are secured.
With budget received from EU-GCCA for the 2013-2014 fiscal year, supply order for purchase of
two incinerators for installation in quarantine stations of Samdrupjongkhar and Gelephu has already
been given and these will be installed in June 2014. Budget requirement for purchase of three
additional incinerators for installation in quarantine stations at Samtse, Phuentsholing and Paro has
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been submitted to the government. If approved, the three additional incinerators would be purchased
in FY 2014-15.
OTHER RELATED INDICATORS:
-
Nos of Plant & Animal Quarantine stations established
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Bhutan Agriculture & Food Regulatory Authority, Ministry of Agriculture & Forests,
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Dr. Chador Wangdi, Livestock Section, Quality Control & Quarantine Division,
Bhutan
Agriculture & Food Regulatory Authority, Ministry of Agriculture & Forests.
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage in Data Management
Description
Data type selection (what is Primary data needed for this indicator is Nos of Plant & Animal Quarantine
data to be collected and its stations equipped with decontamination facilities
level of aggregation)
Data sources (what is the Records of installation of the incinerators in quarantine stations would be
collection instrument)
maintained as and when such facilities are installed.
Data collection (who is The Livestock section of the Quality Control & Quarantine Division
responsible
(QCQD) is responsible for collection of data.
collecting)
Data
processing
(who
The Livestock section of the Quality Control & Quarantine Division
carries out data entry and (QCQD) would maintain the records of such installations.
data processing and how)
Data presentation (how)
PlAMs/BAFRA Annual Report
Data reporting (by whom to The date shall be compiled by the Livestock section of QCQD and
whom)
submitted to the BAFRA Head Office.
Inputs required for data NA
management (when and by
whom)
Cost of verification :
Data
quality
and
NA
risk
assessment (who and how)
NA
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ANY SUPPLEMENTARY INFORMATION:
Annexure 5: Indicator description for NBC activities
INDICATOR CODE:
SIMPLIFIED NAME OF INDICATOR:
including field genebank
TYPE OF INDICATOR:
NBC - 1
Accessions of PGFRA germplasm at crop genebank
Output
INDICATOR DESCRIPTION: A variety of crop from a location is considered as one accession.
The accession indicate the diversity of PGFRA that is conserved at genebank and in some of the
field genebanks (community). A broad genetic base PGFRA is essential for adaptation and
resilience to effects of climate change. The conservation of PGFRA at genebank and field
genebanks will help protect the loss of genetic resources due to natural calamities and disasters.
RATIONALE FOR INDICATOR:
A broad genetic base PGFRA is essential for adaptation and resilience to effects of climate change.
The conservation of PGFRA at genebank and field genebanks will help protect the loss of genetic
resources due to natural calamities and disasters.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical
performance
Projections for indicators (targets) under 11 FYP
achievement (before start
of 11 FYP
Fiscal Year
2011
2012
2013-14
2014-15
2015-16
2016-17
2017-18
Targets related to
1200
1358
1520
1750
1980
2210
2500
11 FYP
ANALYSIS OF INDICATOR BEHAVIOUR:
OTHER RELATED INDICATORS:
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
National Biodiversity Centre
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
EU-GCCAP Focal Point:
Ms. Sangay Dema, Dy. Chief Biodiversity Officer, National Biodiversity Centre, Ministry of
Agriculture and Forestry, Thimphu, Bhutan
Phone: 17710881
E-mail: sdema06@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
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Stage
in
Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the
collection
instrument)
Data collection (who is
responsible
for
collecting)
Data processing (who
carries out data entry
and data processing
and how)
Data
presentation
(how)
Data reporting (by
whom to whom)
Inputs required for
data
management
(when and by whom)
Cost of verification
Description
Hard copy minutes of decisions made at meetings together with list of all
partners attending and any documents reviewed at meetings (electronic
copies of the same).
Minutes template for Donor Coordination Group meetings
Minutes are collected by the Secretary to the Donor Coordination Group
Draft minutes are forwarded to the partners of the Donor Coordination
Group for verification and are finalised after any substantive comments
from partners have been verified at PPD.
Minutes are presented in a format/template that highlights decisions taken
by the Donor Coordination Group.
Final verified minutes are: (i) provided to the Chairman of the Donor
Coordination Group for any actions needed immediately after verification
by partners (within one-two weeks of the meeting); and (ii) reported at the
next Donor Coordination Meeting for approval.
2-5 days per year are needed by the responsible Planning Officer at PPD to
prepare an agenda for the annual meetings, to contact partners, to organise
the venue, and to prepare and distribute draft minutes of meetings to
partners and to finalise final agreed minutes.
No cost. The list of partners and current sets of minutes of annual meetings
are checked by the Chief for Policy and Planning at MOAF to assess if the
necessary quality standards for RNR projects and programmes coordination
are being met.
Quality of minutes taken is to be assessed by Chief of Policy and Planning
Division before final distribution to partners.
Data
quality
and
projection
risk
assessment (who and
how)
If there are any risks that the schedules for meetings will not meet their
targets as set within the PAF (and this may affect the eligibility of the
General Conditions for RNRSP budget releases), then the Chief of
Policy and Planning Division should take appropriate action to reduce or
eliminate the risk.
ANY SUPPLEMENTARY INFORMATION:
INDICATOR CODE:
SIMPLIFIED NAME OF INDICATOR:
plant genetic resources
NBC - 2
Availability of in-vitro and cryobank facilities for
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION: In-vitro and cryobanking is a long term conservation facilities.
Further, it is suitable for conservation of Recalcitrant plants genetic resources at the crop genebank
which is currently not undertaken in the plant genebank.
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RATIONALE FOR INDICATOR:
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical performance
achievement
Projections for indicators (targets) under 11 FYP
(before
start of 11 FYP
Fiscal Year
2011
2012
2013-14
Targets related to 11 FYP
0
0
0
2014-15
2015-16
2016-17
2017-18
1
ANALYSIS OF INDICATOR BEHAVIOUR:
OTHER RELATED INDICATORS:
Number of nucleus herds of native poultry breeds (This is related as this indicator contributes to the
achievement of the same output: Increased on-farm conservation and sustainable utilization of agrobiodiversity)
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
National Biodiversity Centre
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
EU-GCCAP Focal Point:
Ms. Sangay Dema, Dy. Chief Biodiversity Officer, National Biodiversity Centre, Ministry of
Agriculture and Forestry, Thimphu, Bhutan
Phone: 17710881
E-mail: sdema06@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the
collection
instrument)
Data collection (who is
responsible
for
collecting)
Data processing (who
carries out data entry
and data processing
and how)
Data
presentation
(how)
Data reporting (by
Description
Hard copy minutes of decisions made at meetings together with list of all
partners attending and any documents reviewed at meetings (electronic
copies of the same).
Minutes template for Donor Coordination Group meetings
Minutes are collected by the Secretary to the Donor Coordination Group
Draft minutes are forwarded to the partners of the Donor Coordination
Group for verification and are finalised after any substantive comments
from partners have been verified at PPD.
Minutes are presented in a format/template that highlights decisions taken
by the Donor Coordination Group.
Final verified minutes are: (i) provided to the Chairman of the Donor
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Stage
in
Data Description
Management
whom to whom)
Coordination Group for any actions needed immediately after verification
by partners (within one-two weeks of the meeting); and (ii) reported at the
next Donor Coordination Meeting for approval.
Inputs required for 2-5 days per year are needed by the responsible Planning Officer at PPD to
data
management prepare an agenda for the annual meetings, to contact partners, to organise
(when and by whom)
the venue, and to prepare and distribute draft minutes of meetings to
partners and to finalise final agreed minutes.
Cost of verification
No cost. The list of partners and current sets of minutes of annual meetings
are checked by the Chief for Policy and Planning at MOAF to assess if the
necessary quality standards for RNR projects and programmes coordination
are being met.
Data
quality
and Quality of minutes taken is to be assessed by Chief of Policy and Planning
projection
risk Division before final distribution to partners.
assessment (who and
how)
If there are any risks that the schedules for meetings will not meet their
targets as set within the PAF (and this may affect the eligibility of the
General Conditions for RNRSP budget releases), then the Chief of
Policy and Planning Division should take appropriate action to reduce or
eliminate the risk.
ANY SUPPLEMENTARY INFORMATION:
INDICATOR CODE:
NBC - 3
SIMPLIFIED NAME OF INDICATOR:
Increase in no. of nucleus farm established with
community linkages for conservation and sustainable use of local animal breeds
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION: Nucleus farm maintaining an optimum number of animals and
linked with community with a genetic resources management plan to promote the conservation and
sustainable use of prioritized local pig or poultry breeds.
RATIONALE FOR INDICATOR:
This indicator is one of the mitigation plan to adapt to the effects of climate change particularly to
the theme 3; Forest and biodiversity. The establishment of nucleus farm (ex-situ invivo) for
prioritized breeds as an indicator offers good aspects opportunities for gainful utilization, evolution
and adaptation to a changing climate thereby ensuring a the survival of breeds to maintain a broad
genetic base as security to emerging diseases and adaptability.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
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Historical
performance
achievement
Projections for indicators (targets) under 11 FYP
(before
start of 11 FYP
Fiscal Year
2011
2012
Targets
3
3
related
2013-14
2014-15
2015-16
2016-17
2017-18
4
to 11 FYP
ANALYSIS OF INDICATOR BEHAVIOUR:
Three nucleus farms were established in 10 FYP with funding support from ILCCP project but
require strengthening in terms of farm size and management plans.
OTHER RELATED INDICATORS:
Number of nucleus farm for prioritized traditional livestock breeds (This is related as this indicator
contributes to the achievement of the same output: Increased on-farm conservation and sustainable
utilization of agro-biodiversity)
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
National Biodiversity Centre
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
EU-GCCAP Focal Point:
Ms. Sangay Dema, Dy. Chief Biodiversity Officer, National Biodiversity Centre, Ministry of
Agriculture and Forestry, Thimphu, Bhutan
Phone: 17710881
E-mail: sdema06@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage in Data Management
Data type selection (what is data
to be collected and its level of
aggregation)
Data sources (what is the
collection instrument)
Data
collection
(who
is
responsible for collecting)
Data processing (who carries out
data entry and data processing
and how)
Data presentation (how)
Description
Hard copy minutes of decisions made at meetings together with
list of all partners attending and any documents reviewed at
meetings (electronic copies of the same).
Minutes template for Donor Coordination Group meetings
Minutes are collected by the Secretary to the Donor Coordination
Group
Draft minutes are forwarded to the partners of the Donor
Coordination Group for verification and are finalised after any
substantive comments from partners have been verified at PPD.
Minutes are presented in a format/template that highlights
decisions taken by the Donor Coordination Group.
Data reporting (by whom to Final verified minutes are: (i) provided to the Chairman of the
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Stage in Data Management
whom)
Description
Donor Coordination Group for any actions needed immediately
after verification by partners (within one-two weeks of the
meeting); and (ii) reported at the next Donor Coordination
Meeting for approval.
Inputs
required
for
data 2-5 days per year are needed by the responsible Planning Officer
management (when and by at PPD to prepare an agenda for the annual meetings, to contact
whom)
partners, to organise the venue, and to prepare and distribute draft
minutes of meetings to partners and to finalise final agreed
minutes.
Cost of verification
No cost. The list of partners and current sets of minutes of annual
meetings are checked by the Chief for Policy and Planning at
MOAF to assess if the necessary quality standards for RNR
projects and programmes coordination are being met.
Data quality and projection risk Quality of minutes taken is to be assessed by Chief of Policy and
assessment (who and how)
Planning Division before final distribution to partners.
If there are any risks that the schedules for meetings will not meet
their targets as set within the PAF (and this may affect the
eligibility of the General Conditions for RNRSP budget
releases), then the Chief of Policy and Planning Division should
take appropriate action to reduce or eliminate the risk.
ANY SUPPLEMENTARY INFORMATION:
INDICATOR CODE:
CCA-VT-6
SIMPLIFIED NAME OF INDICATOR:
Community Agro-Biodiversity Sites for Indigenous
Crop Varieties and Animal Breeds
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
Number of sites with community driven initiatives for conservation and utilisation of indigenous
crop varieties and animal breeds is increasing in Bhutan
RATIONALE FOR INDICATOR:
This indicator shows the number of community level initiatives undertaken to promote conservation
and sustainable use of local animal breeds, specifically local pigs and poultry, in the country, as
well as local crop varieties. In addition to conservation and sustainable use, the promotion of local
animal breeds as community initiative is also seen as an opportunity to enhance the resilience of
local communities to changing climatic conditions as local breeds have shown their adaptability to
the harsh environment and changing climatic conditions of Bhutan over a long period.
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Historical Performance
Achievement
(Before start-up of RNR-CCAP)
Projections for indicator (targets)
With RNR-CCAP support
Calendar Year +
RNR-CCAP Year
Targets related to 11th
FYP++
Actual achieved
2008
2009
2010
2011
2012
T
25
2013
T+1
25
2014
T+2
27*
2015
T+3
30**
2016
T+4
32
Projections for
indicator
(targets) under
remainder of
11th FYP but
currently
outside RNRCCAP funding
2017
2018
35
35
+
CY is the year for which performance data are collected for budget release eligibility in July of the
following year; in the case of process indicators under RNR-CCAP performance may be delayed as
late as June
++
Targets are cumulative and relate to total stall-feeding households achieved in Bhutan (Including
those in the four target RNR-CCAP Dzongkhags)
T is baseline year
T+1 is first year with a budget release in July
* Performance achievement used to trigger release of 25% of Variable Tranche for FY 2015-16
** Performance achievement used to trigger release of 20% of Variable Tranche for FY 2016-17
ANALYSIS OF INDICATOR BEHAVIOUR:
UNDP has supported the establishment of 25 community sites for conservation and sustainable
utilisation of local crop varieties and animal breeds. It is the intension of the NBC to complete a
further 10 by the end of the 11th FYP; out of these the RNR-CCAP will co-fund 5 sites by
supporting the costs for the animal breed selection and conservation.
OTHER RELATED INDICATORS:
Number of nucleus flocks of native poultry breeds for the purpose of conservation and sustainable
utilization of agro-biodiversity.
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
National Biodiversity Centre, Ministry of Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
EU-GCCA/RNR-CCAP Focal Point:
Ms SangayDema, Dy. Chief Biodiversity Officer, National Biodiversity Centre, Ministry of
Agriculture and Forestry, Thimphu, Bhutan
Phone: 17710881
E-mail: sdema06@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
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Stage in Data
Description
Management
Data type selection
Primary data needed for this indicator are numbers of sites where farmers
(what is data to be
have adopted the conservation and sustainable utilisation of native breeds of
collected and its level
livestock and local crop varieties
of aggregation)
Data sources (what is
Administrative records at the National Biodiversity Centre.
the collection
instrument)
Data collection (who is Dy. Chief Biodiversity Officer at NBC who manages this programme
responsible for
activity.
collecting)
Data processing (who
Data entry is made into Excel spreadsheets.
carries out data entry
and data processing
and how)
Data presentation
Text and tables in progress reports. Photo monitoring reports
(how)
Data reporting (by
Data on this indicator are reported in the Annual Biodiversity Report.
whom to whom)
The data are to be reported in the MOAF Annual Progress Report for the
relevant financial year (FY).
Inputs required for
Since the data are already being collected by the NBC as part of their
data management
regular programme, no major extra inputs are required for data management
(when and by whom)
of this indicator.
Cost of verification
Verification and validation of the data quality are carried out by
Biodiversity Officers at NBC. No extra costs are envisaged since these tasks
are part of their regular duties. Ad hoc field checks may be requested from
time to time if there appear to be problems with the quality of data from
some geographical locations.
Data quality and risk
Due to the small number of sites involved, the risks to receiving poor
assessment (who and
information are minimal, and field checking is easily carried out.
how)
ANY SUPPLEMENTARY INFORMATION:
Annexure 6: Indicator description for PPD activities
INDICATOR CODE:
CCA-VT-7
SIMPLIFIED NAME OF INDICATOR:
Climate Change Adaptation Policy for the RNR Sector
TYPE OF INDICATOR:
Output
INDICATOR DESCRIPTION:
Climate change adaptation policy for the RNR sector is prepared through joint actions by CORRB
and PPD at MOAF
RATIONALE FOR INDICATOR:
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Mainstreaming of Climate Change into development plans is one of the key policy directives for the
11th Five Year Plan. While Bhutan has developed the National Adaptation Plan of Action (2006)
and the Low Carbon Development Strategy (2011), a national level Policy on Climate Change is yet
to be formulated. In this context, the RNR sector will formulate a RNR Climate Change Policy to
provide strategic directions for prioritization, planning and implementation of climate change
adaptation actions. While the policy will define the key areas for climate change adaptation and key
adaptation actions, it will also provide strategic directions for building the resilience of the farmers.
Climate change in Bhutan mainly threatens the largely agrarian population that depends on
subsistence agriculture for their daily livelihood; the farming community is the most vulnerable
group as farm productions are highly dependent on climate, especially with the unpredictable and
increased variability in the timing of the monsoons. Already frequent landslides and prolonged dry
periods and unprecedented heavy monsoon rain, affecting agriculture and biodiversity, are visible.
The main cash crops of the farmers such as rice, potatoes, chillies, apples and oranges are all highly
sensitive to water and temperature variations. Dry land crops such as wheat, buckwheat, maize, and
barley are the major food source for the farmers and they are entirely dependent on rainfall thus
making it even more vulnerable to climate risks. Further increased heat stress on organisms and
altered water requirements for various species also are associated with climate change. This would
severely affect the RNR Sector. Therefore, the interventions towards making RNR sector resilient to
climate change and its related disasters would be through legalizing and institutionalizing climate
change and disaster management. Towards this, the RNR Sector Climate Change Adaptation policy
needs to be formulated in order to mitigate and adapt to the impacts of climate change.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical Performance
Achievement
(Before start-up of RNR-CCAP)
Projections for indicator (targets)
With RNR-CCAP support
Calendar Year +
RNR-CCAP Year
Targets related to 11th
FYP
Actual achieved
2008
2009
2010
2011
2012
T
0
2013
T+1
0
2014
T+2
0
2015
T+3
0
2016
T+4
1*
Projections for
indicator
(targets) under
remainder of
11th FYP but
currently
outside RNRCCAP funding
2017
2018
+
CY is the year for which performance data are collected for budget release eligibility in July of the
following year; in the case of process indicators under RNR-CCAP performance may be delayed as
late as June
T is baseline year
T+1 is first year with a budget release in July
* Performance achievement used to trigger release of 20% of Variable Tranche for FY 2016-17.
Policy is to be ready early in Q1 of CY 2016 prior to arrival of JAR3 mission
ANALYSIS OF INDICATOR BEHAVIOUR:
Not relevant as no policies related to Climate Change in the RNR sector have been prepared so far.
Not relevant as no policies related to Climate Change in the RNR sector have been prepared so far.
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OTHER RELATED INDICATORS:
No policies concerning Climate Change are available in Bhutan; however, Climate Change Strategy
documents are being prepared by NECS and the following is already published:
1. National Strategy and Action Plan for Low Carbon Development, Secretariat of National
Environment Commission (2012)
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Policy and Planning Division, Ministry of Agriculture and Forestry, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Climate Change Focal Point at PPD:
Mr PemaThinley, Senior Planning Officer, Policy and Planning Division, Department of
Agriculture, Ministry of Agriculture and Forestry, Thimphu, Bhutan
Phone: 17403743
E-mail: pema.thinley1@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage in Data
Management
Data type selection
(what is data to be
collected and its level
of aggregation)
Data sources (what is
the collection
instrument)
Data collection (who is
responsible for
collecting)
Data processing (who
carries out data entry
and data processing
and how)
Description
Data related to climate change and its impacts on vulnerable communities
are to be collected from the local and national levels; including activities
aimed at strengthening vulnerable physical, natural and social assets carried
out by various agencies (RNR-CCAP, SNV, NECS, and others).
Information related to the mainstreaming of Climate Change in the RNR
Sector carried out by the RNR-CCAP is to be reviewed. Any risk and
vulnerability assessments that have been carried out by various stakeholders
are to be reviewed, including any efforts at increasing the adaptive capacity
of local communities in response to impacts of climate change. Any efforts
to promote transfer and adoption of new adaptation technologies are to be
reviewed.
Processes involve consultations at all levels of Government and
participation of local communities in many cases. This may involve
workshop outputs, questionnaires, key stakeholder dialogues.
Task Forces set up by the MOAF led by PPD would be responsible for
collection of information and data, and for reviewing the same. In some
cases local consultants may be hired to assist with the development of the
enabling instruments, especially where knowledge is weak on some subject
areas.
Approval of the policy requires the following steps: (1) A first draft is
produced with inputs from TA and Task Force Members; (2) The draft is
presented to senior management within MOAF for comments; (3) The
second draft is produced for consultations with stakeholders at the regional
level; (4) The third draft will then be consulted at the National level; (5)
The fourth draft will then be presented to the RNR level GNH Committee;
(6) The Final draft will be submitted to the national GNHC for review and
then will be presented to the GNHC members; (7) The final version will
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Stage in Data
Management
Data presentation
(how)
Data reporting (by
whom to whom)
Inputs required for
data management
(when and by whom)
Cost of verification
Data quality and
projection risk
assessment (who and
how)
Description
then be submitted to the Cabinet for comments; (8) The draft will then be
refined with incorporation of comments from the Cabinet ministers and it is
then considered to be approved version for publication.
The policy document would normally be presented in the form of a
published document with an ISBN number and as electronic files in PDF
format. It would be posted on the MOAF website.
The policy document is to be reported by PPD to the RNR GNHC, the
National GNHC and the Cabinet.
Highlights from the policy are to be reported in the MOAF Annual
Progress Report for the relevant financial year (FY).
2-3 months are needed by the concerned Planning Officer at PPD to follow
the processes for data management outlined above. A large number of
stakeholders would also be involved on an ad hoc basis to attend workshops
and compile information.
No cost. The Chief for Policy and Planning Division and his staff at MOAF
will verify the document content for accuracy and relevance against the
TOR.
The quality of this policy indicator will depend heavily on the method of
preparation, where consultants and donors are involved in workshops used
to prepare the policy then it can expect to have a high degree of quality and
a low risk of poor or missing content. A policy prepared internally within
MOAF with no external peer-reviews may lack the necessary quality.
Reviews by an external expert may be useful in assisting in maintaining
high quality outputs.
ANY SUPPLEMENTARY INFORMATION:
Attach draft copies of the Policy to the relevant file at PPD. E-copies can be kept in an electronic
file at PPD, and on the MOAF web site.
Annexure 7: Indicator description for ICS activities
INDICATOR CODE:
SIMPLIFIED NAME OF INDICATOR:
TYPE OF INDICATOR:
IEC
IEC materials developed and disseminated
Output
INDICATOR DESCRIPTION: This indicator will assess the type and numbers of Information
materials developed and disseminated to educate and communicate on the impacts of Climate
Change on the RNR Sector and the types of adaptation and mitigation activities implemented by the
ministry to overcome such impacts through print materials and audio-visual recordings. Towards
achieving the targets of this indicator, the following activities would be implemented:
1. Develop and air TV programs
2. Develop and air radio programs
3. Develop and publish print materials
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RATIONALE FOR INDICATOR:
The RNR Sector is one of the most vulnerable sectors to the impacts of climate change; climate
change threatens the livelihood of the rural communities who are directly depended on RNR and its
allied sectors. Therefore, IEC materials developed and disseminated will enhance the awareness on
the impacts of climate change and will also provide information on the means and opportunities to
adapt to such impacts. Further, this information will be critical inputs to the policy/decision makers
to plan and formulate programs to make RNR Sector resilient to such impacts.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:
Historical and Projected Trends for number of overall IEC materials developed and
disseminated by ICS[Up-dated on 23rd April 2014]
Historical
Projections for indicator (targets) under 11FYP
Performance
Achievement
(before start-up
of 11FYP)
Fiscal Year
2010
11FYP Year
2011
2012
2013-14
2014-15
2015-16
2016-17
T
T+1
T+2
T+3
T+4
2017-18
Targets related to
TV
53
58(5)
63(5)
68(5)
73(5)
78
11th FYP
Radio
37
39(2)
41(2)
43(2)
45(2)
47
Print
68
80(12)
92(12)
104(12)
116(14)
130
Actual achieved
-ICS records
Note: Above figure shows over all IEC materials baseline and targets of ICS for its 11 th five year
plan.
ANALYSIS OF INDICATOR BEHAVIOUR:
Since the 9th FYP a series of activities related to climate change adaptation and mitigation were
implemented. However, given the limited scientific knowhow on climate change and its impacts on
RNR Sector not much have been done in terms of creating awareness and visibility on CC.
Realizing that CC could hugely impact the RNR Sector in the 11th plan and beyond it is imperative
that both the farmers and the policy makers are made aware on climate change and its impacts, So
that appropriate interventions are put in place to overcome such challenges
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OTHER RELATED INDICATORS:
1. Enhance dissemination of RNR ICT Services
2. Develop CCIS
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
ICS, MoAF
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Singye Wangmo, Program Director, ICS, MoAF
METHODOLOGY FOR INDICATOR MANAGEMENT:
Stage
in
Data
Description
Management
Data type selection (what Information on climate change related impacts and success case stories
is data to be collected and from various locations on adaptation/mitigations measures implemented
its level of aggregation)
which could be replicated to other similar localities. The information
gathered would be published through print publication or aired
(Audio/visuals).
Data sources (what is the The information required is to be collected through actual site visits,
collection instrument)
interviews, reports submitted by stakeholders and audio-visuals.
Data collection (who is ICS, Departments/Agencies, RNR-RDCs, Dzongkhag RNR Sectors and
responsible
Geog Extensions
collecting)
Data
processing
(who ICS will collect information from
Departments/Agencies, RNR-RDCs,
carries out data entry and Dzongkhag RNR Sectors and Geog Extensions and it will be processed in
data processing and how)
the form of print publication and audio-visual programs.
Data presentation (how)
ICS will submit the Climate Change IEC materials in the form of Print
publications, audio and visuals
Data reporting (by whom ICS will submit the data/information to the ministry
to whom)
Inputs required for data
management (when and NA
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by whom)
Cost of verification:
NA
Data quality and risk
assessment
(who
and NA
how)
ANY SUPPLEMENTARY INFORMATION: Nil
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