This file was created by scanning the printed publication. Errors identified by the software have been corrected; however, some errors may remain. Canadian Perspectives on Biodiversity Inventory and Monitoring 1 Judy L002 Abstract-The Canadian government has committed to reporting on various aspects of biodiversity, but, with some notable exceptions, implementation of programs to achieve such monitoring has been problematic. Most of Canada's forest land is managed by the provinces. Responsibility for resource inventory and monitoring lies with the provinces as well. Coordination and resources are lacking to ensure cohesive responses to federal information needs. Though Canada has a national ecological land classification (ELC) system, it is not used by all provincial management agencies. Thus the ELC is not effective for national level monitoring or reporting. As well, Canada lacks a coordinated vegetation monitoring system. There are a number of noteworthy partnership approaches to biodiversity inventory and monitoring in Canada, however. The Model Forest Network consisting of ten working forests, which represent the major forested ecozones across the country, provides focal points for development of workable criteria, indicators, and monitoring systems. Within the Canadian Forest Service, a project known as NatGRID (National Geo-Referenced Information for Decision-makers), applies leading-edge technology to characterize and model the biophysical environment in relation to plant and animal distributions. Conservation Data Centers have been established in all regions of Canada and track rare and uncommon species and habitats. In addition, the Committee on the Status of Endangered Wildlife in Canada (COSEWIC), with representatives from federal, provincial and private agencies, monitors and assigns nationally recognized status designations to species at risk in Canada. The World Wildlife Fund has produced a national regions map of Canada and conducted a gap analysis to determine how well protected areas represent ecological diversity. Efforts are underway to assess the need and, where required, to develop gene conservation strategies for Canada's trees at risk. In particular, status reports have been completed for commercially important species on the west coast, conservation work is underway in Ontario's endangered Carolinian forest and status assessments are being carried out in the east coast provinces. Overview I was asked to speak about the strengths and weaknesses of biodiversity inventory and monitoring in Canada. I will mention what I see as weaknesses first, then I will discuss briefly some specific examples of noteworthy initiatives. In particular, I will focus on a few programs having grassroots lpaper presented at the North American Science Symposium: Toward a Unified Framework for Inventorying and Monitoring Forest Ecosystem Resources, Guadalajara, Mexico, November 1-6,1998. 2Judy Loo is a Research Scientist in the Biodiversity Network of the Canadian Forest Service, Natural Resources Canada, located in Fredericton, New Brunswick, Canada. USDA Forest Service Proceedings RMRS-P-12. 1999 or partnership origins, that will not be explained in detail by other speakers. The Canadian government has committed to reporting on various aspects of biodiversity, but establishing programs to achieve the necessary monitoring has been difficult. International and national commitments have been made with respect to the Biodiversity Convention, Canada's Biodiversity Strategy, The National Forest Strategy, the Canadian Forest Service (CFS) Biodiversity Action Plan, and others. For example Canada's Biodiversity Strategy calls for development and implementation of monitoring programs to "better understand the functional linkages in ecosystems." The CFS Biodiversity Action Plan requires biological monitoring as well, but specifically mentions partnerships with other agencies or interests. Canada has been very active internationally in developing Criteria and Indicators (C&I) of sustainable forest management, but the nationally adopted C&I set has not yet been applied across the country, and no special resources have been designated for this purpose. Several factors cause difficulty in country-wide implementation of inventory or monitoring programs. First, commitments are often made by the federal government but the provincial government has land management responsibility, so the provinces are expected to develop and carry out programs that are required to meet federal objectives, but without the benefit of additional financial resources. Another factor is that a number of government agencies, both federal and provincial have an interest in the country's natural resources. Coordination and cooperation of any program involving various agencies are difficult, because of the different interests involved. Cost recovery policies for climate, digital elevation, and remote sensing data are also problematic. Government departments charge any users, including other government agencies for access to the data that are required for setting up monitoring programs. Over large areas, the costs may be prohibitive, effectively reducing the number and scope of projects. The net result is that few new programs have been implemented and little new monitoring activity is taking place to meet the commitments tha t are being made. Provinces and territories are each carrying out their own inventory programs, at least for commercially important resources, and in some cases information collected through provincial programs is, or could be used to assess biodiversity, but country-wide standards and coordination for data collection and reporting are lacking. Thus, though the capability for data collection, management and spatial representation is very high locally, the data with relevance to biodiversity collected in one part of the country may not be comparable to that collected in a different province. In particular, there is not a consistent ecological land classification or unified definition of forest types that is accepted 245 province-wide. Thus summarizing inventory data from across the country is difficult. A new national inventory system is being developed but there is no plan at present for how to include biodiversity estimates or indicators. The Canadian Forest Service has initiated a project to define forest ecosystems of Canada in collaboration with each of the provinces. The aim is to produce a baseline description of the composition of Canada's forests. In the short run, this will constitute more of a national site classification than an ecological land classification, though the intention is to develop a full ecological land classification for forest land eventually. At present, Canada lacks a vegetation monitoring system. The ARNEWS plot system could provide a means for vegetation monitoring at a coarse scale. ARNEWS is the Acid Rain National Early Warning System, established in Canada in 1984 in response to concerns about forest health in the face of environmental change. ARNEWS uses a common set of measurements, including a small subset of vegetation presence/absence assessments, taken on permanent sample plots established by the Canadian Forest Service. Plots have been located across Canada in eight forested terrestrial ecozones. Emphasis was placed on the commercially important tree species. Though the infrastructure is in place to carry out vegetation monitoring in this plot system, such monitoring has not been implemented. Though Canada has been active internationally in developing and promoting criteria and indicators of sustainable forest management, the implementation of the nationally adopted set (Canadian Council of Forest Ministers' Criteria and Indicators) has been slow, with little application in the provinces and no additional resources allocated to the initiatives. Examples of Biodiversity Inventory and Monitoring Initiatives _ _ __ There are a number of noteworthy partnership and grassroots approaches to biodiversity inventory and monitoring in Canada. The Model Forest Network consisting of ten large forest areas with multiple ownerships, representing the major forested ecozones across the country, provides focal points for development ofworkable criteria, indicators, and monitoring systems. Each of the Model Forests is different and is following a somewhat different approach to monitoring and inventorying biodiversity, but the present 5-year phase of the Model Forest Program focuses on local level criteria and indicators, including biodiversity. In some cases Canada's nationally accepted set of Criteria and Indicators (CCFM) is being used as the indicator monitoring framework. In other cases, a new set ofindicators, with more local specificity, is being developed. The significance of this program is that practical approaches to monitoring biodiversity at a local scale are being developed and tested in each forest zone of Canada. Gap analyses provide an example of one type ofbiodiversity assessment work that has been carried out locally in four of the ten Canadian model forests. In the Fundy Model Forest in New Brunswick, gap analysis was conducted at a fine scale to identify and determine the distribution of all the unconimon plant community types, and the plant species designated as uncommon, rare, threatened or endangered. 246 The gap analysis assessed 'whether these community types and species were sufficiently covered by existing protected areas. Subsequent work has been undertaken to protect those that are not currently protected. This work covered only a small area, but it does serve as a model for application elsewhere. In the process of conducting the analyses, baseline data that would be required to carry out vegetative monitoring, was collected. Another example of a Canadian Forest Service (CFS) led project that is expected to be very useful in biodiversity monitoring and inventory is known as ''NatGrid'' (National Geo-Referenced Information for Decision-makers). This project, which is being extended across the country, applies leading edge technology for characterizing and modeling components of the bio-physical environment such as climate and topography and their relationships to plant and animal distributions, abundance and productivity. Analysis of existing site data using a Geographic Information System and application of statistical models is an important aspect of the work. The spatial nature of the models will be useful in the development of criteria and indicators for sustainable forestry and will provide an empirical basis for identifying representative locations for permanent andtemporary forest plots. The approach is also useful in predicting where uncommon habitats are likely to be found and in predicting species ranges. Other relatively strong areas within the Canadian Forest Service as well as some provincial forestry departments include insect and fungus taxonomy and genetics. Insect and fungus specimens including indigenous and exotic species are housed at CFS research centres across the country and could serve as reference collections for use in monitoring. The collections were established by the Forest Insect and Disease Survey (FIDS) when that program was a large component of the work of the Canadian Forest Service, and the focus was on insect pests and disease organisms. In recent years, interest has broadened to address biodiversity questions. The associated databases are as important as the specimen collections. For example, they provide information about the appearance of exotic insects or fungal organisms. This information could be important in determining the source and following the movement of such organisms. Genetics has traditionally been a strong component of the Canadian Forest Service and of some provincial forest research programs. Recently the focus has expanded from the traditional purpose of supporting genetic improvement of commercial tree species to include the evaluation of genetic diversity in natural populations of a variety of commercial and non-commercial species. This allows development and implementation of gene conservation strategies for tree species at risk. In British Columbia, Ontario, and in the Maritime provinces some progress has been made in assessing status of tree and some shrub species as a first step in developing gene conservation strategies for species at risk. Periodic status assessments will require a system for population monitoring. Conservation Data Centers (CDC) now serve all the provinces of Canada, in addition to all the states in the U.S. and some Mexican states. Conservation Data Centers are computer-assisted inventories of biological and ecological features; primarily concentrating on species or habitats considered to be at risk. The databases provide a means for USDA Forest Service Proceedings RMRS-P-12. 1999 monitoring the less common biodiversity features within the jurisdiction where the center is located. The centers gener~lly employ biologists as well as database managers, providmg field assessment and interpretive capability. Conservation Data Centers are initiated by the Nature Conservancy, and are supported by a variety offunding sources including provincial and federal government agencies, contributions from the private sector, and from foundations. The CDCs are under local control, with management structure varying from center to center, but the data is collected and stored in a manner that is consistent across the country, and across the continent. Another initiative that is broad-based and not solely dependent upon government agencies is the Committee on the Status of Endangered Wildlife in Canada (COSEWIC). COSEWIC maintains lists of species at risk including the designations: extinct, extirpated, endangered, threatened, and vulnerable. Designated species do not have legal protection, but because of the credible scientific evaluations, status designations are well respected. COSEWIC's mandate covers mammals, birds, reptiles, amphibians, fish, mollusks, lepidopterans, vascular plants, mosses, and lichens. Status reports are prepared following a consistent format, including information about population size now and in the past, and distribution ofthe species. Changes in these parameters over time are monitored and threats are assessed. Membership of COSEWIC consists of representatives from each provincial and territorial government, four federal government agencies, and three national conservation organizations. Subcommittees are struck to carry out the work of the group, consisting of knowledgeable people from museums, universities or the above agencies. The efforts ofWorld Wildlife Fund deserve mention as the organization has produced a natural areas map of Canada USDA Forest Service Proceedings RMRS-P-12. 1999 and they have used it to conduct a gap analysis for assessing adequacy of representation of ecological features in protected areas. They continue to monitor the protected status of ecosystems across the country, so are contributing. to the information base about ecosystem diversity. Conclusions --~----------------------- Implementation of country-wide inventory and monitoring of biodiversity is difficult, expensive and complicated by the division offederal and provincial responsibilities. Many plans and strategies are in place but the coordination and fiscal and human resources to carry them out are still lacking. The programs and initiatives that are working well tend to be broad-based, cooperative, and driven at least in part by interests outside of government. It is my opinion that these types of initiatives will continue to be important, and will expand in scope, particularly if government funds continue to shrink. There is a need for government agencies to encourage and strengthen grassroots, multi-stakeholder approaches to monitoring biodiversity, including making greater use of naturalist groups and other volunteer networks. I expect that the forest industry will contribute more to biodiversity monitoring and inventorying efforts as marketplace pressures result in increased ecological responsi hili ty. It is i 11mbent on the federal government to provide consisten. frameworks and formats and to establish greater capability for collecting, maintaining and reporting on the data generated by the various sources. 247