PROJECT LIFE08ENV/IT/428 SOILPRO
SMS DATA TREE
The data tree is based on the DPSIR framework, in particular we considered pressure, state, impact and
response factors and also contextual factors. Pressure factors are pressures from human and economic
activities, that can produce beneficial or harmful impacts on the environmental problem targeted, that is,
soil protection or degradation. State factors are indicators of soil and land characteristics and processes
related to soil degradation risks. Impact factors are indicators of changes in environmental state that
affect human health and/or ecological systems, that is, the six soil degradation risks foreseen in the
project. Response factors are the societal reactions to those impacts, that is, the measures to halt soil
degradation that are actually implemented and/or will be promoted by the project. The Contextual
factors are environmental characteristics that have an influence on state factors, but are not dependent on
human activity. The Basic input data are data that do not enter directly in the models to predict soil and
land characteristics and processes, but are used to derive other factors. Likewise the model tree, a tool
have to be created for the first and second users, to allow them uploading the data in the right box.
A. DATA TO BE LISTED, VISIBLE AND DOWNLOADABLE IN THE MAP WEB PAGES
(PUBLIC CONSULATION DATA) BY ALL USERS, INCLUDING THE THIRD CLASS
USERS
IMPACT FACTORS
Maps of actual soil degradation risk for each
Maps of soil degradation risk, after the
soil degradation process:
implementation of response measures, for each
1. Erosion
soil degradation process:
2. SOC decline
1. Erosion
3. Compaction
2. SOC decline
4. Landslides
3. Compaction
5. Salinization
4. Landslides
6. Acidification
5. Salinization
6. Acidification
Examples:
Examples:
erosion_risk in the year 2011
soc_decline_risk in the year 2011
compaction_risk in the year 2011
landslide_risk in the year 2011
salinization_risk in the year 2011
acidification_risk in the year 2011
From monitoring:
erosion_risk in the year 2012
erosion_risk in the year 2013
From scenario:
erosion_risk in the year 2021
erosion_risk in the year 2031
B. PRIVATE DATA THAT WILL BE UPLOADED IN THE PRIVATE PAGES AND
MANAGEABLE IN THE BROWSE PAGES OF FIRST AND SECOND USERS (ALSO
BROWSE PAGES HAVE TO BE PRIVATE ONES)
BASIC INPUT DATA AND
CONTEXTUAL FACTORS
PRESSURE
FACTORS
STATE FACTORS
Such as:
1. DEMs and DTMs and
derived morphological
maps
2. Satellite images and
derived indices (eg. NDVI
and degree of coverage of
natural-like areas)
3. Aerial photographs and
ortophotomaps
4. Climatic and
pedoclimatic data, derived
climatic indices
5. Climate change
6. Physiographic maps
7. Lithological maps
8. Cadastrian parcels
9. Pedological
geodatabases/soil maps
10. Land use/land cover
maps
11. Land management
practices maps
12. Others
Such as:
1.Types of land use
maps
2. Land use change
maps
3. Types of
agricultural, forest
and meadow land
management
practices maps
4. Anthropogenic
physiographic
classes
5. Irrigated areas
6. Grazing pressure
7. Forest fire maps
8. Others
Such as:
Such as:
1. Maps of target
1. Maps of
soil
application of agrocharacteristics
environmental
(organic matter,
measures to halt
bulk density,
soil degradation
salinity, ESP,
(eg. application of
pH, base
cross compliance,
saturation)
agro-environmental
2. Maps of
measures financed
presence of soil
by rural
erosion and/or
development plans,
maps of
organic farming
quantified soil
measures, soil and
erosion (ton/ha
water conservation
year)
measures)
3. Landslides maps 2. Land use change to
4. Monitoring
more protective
points, that is,
uses
the results of soil 3. Forests
surveys in the
management
monitoring
4. Management
sampling scheme
Intensive
5. Others
Rotational grazing
5. Leaching irrigation
Examples:
6. Maps of protected
areas
eros_t_ha_y
7.
Forest fires control
eros_t_ha_y_pot
maps
ential
8. Landslides
soc_decline
stabilization
9. Others
Examples:
clay
soils_oc_50cm
r_layer
sand
t_ha
silt
l_layer
s_layer
k_layer
Examples:
clc06_forests
clc06_arable
clc06_meadows
c_layer
RESPONSE FACTORS