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Circumpolar Biodiversity Monitoring Program (CBMP) Approach for Designing Pan-Arctic Biodiversity Monitoring Plans Mike Gill: CBMP Program Officer, Environment Canada McMurdo Dry Valleys Terrestrial Observation Network: An NSF Workshop Circumpolar Biodiversity Monitoring Programme (CBMP) • Arctic Council (CAFF) Program; Led by Canada • International network improving detection, understanding and reporting of Arctic biodiversity trends • Focal point for current and credible Arctic biodiversity information • Bridging the information-policy gap • www.cbmp.is CBMP Objectives: Adding Value • Monitoring networks coordinated, harmonized and costeffective • Best monitoring practices utilized and promoted • Existing data rescued and utilized • Arctic people involved in monitoring • Current, timely and accurate information on Arctic biodiversity accessible to decision-makers, including the public International and Strategic linkages • UNEP Biodiversity Indicator Partnership • Global Earth Observation: Biodiversity Observation Network • Convention on Biological Diversity • Other AC Working Groups Overall Program Design & Organization CBMP Key Initiatives: Coordinated Monitoring • Expert Monitoring Groups (EMGs): – Marine, Coastal, Freshwater, Terrestrial – Ecosystem-based, network of networks – Forum for scientists and community experts – Pan-Arctic, integrated monitoring plans CBMP Monitoring Plans • Based on clear monitoring questions & user needs • Core set of circumpolar, plus regionally specific metrics & indicators • Ecosystem-based: Linked to relevant & multiple drivers • Scaled monitoring (e.g. intensive-extensive) • Simple & realistic: based on existing capacity & data • Optimal sampling & partners identified • Adaptive: able to adjust parameters & indicators during start-up phase • Establish baselines & assessments CBMP-Terrestrial Plan • Co-led by Kingdom of Denmark and USA • Background Paper and two workshops completed • Plan is being drafted • Release date Jan ‘13 Process for Developing a Pan-Arctic Plan – Background Paper 1. Identify objectives of the monitoring plan – What are the: – Key science questions to address? – Management objectives for this region? – Reporting mandates? 2. Conduct an inventory/analysis of what existing research & monitoring efforts & data exist & how well they can serve objectives. Process for Developing a Pan-Arctic Plan – Background Paper 3. Define scope (spatial & thematic) - where relevant, define focal areas for focused monitoring & reporting 4. Develop and agree upon criteria for choosing attributes, parameters, & indicators 5. Develop conceptual model(s) for the ecosystem in question Process for Developing a Pan-Arctic Plan – First Workshop • Goals: identify focal ecosystem components (FECs), parameters (metrics) & indicators • Using a scoping process (Adaptive Environmental Assessment and Management) – Form breakout groups – based on discipline themes (e.g. vegetation, invertebrates, mammals, birds) – Develop impact hypotheses (IH) and cause effect charts for these focal ecosystem components – Using the criteria & based on the IH & cause-effect charts, choose the key attributes for each FEC to measure & determine the most suitable parameters. Examples: Conceptual Scenarios Examples: Cause-Effect Charts Group: Drivers POLLUTION/ CONTAMINATION DISTURBANCE CLIMATE CHANGE OIL SPILLS HARVESTING FISHERY HABITAT ALTERATION ALIEN SPECIES 8 10 7 15 23 19 6 11 9 FEC SEABIRDS 12 14 5 1 4 30 13 2 REPRODUCTION 3 ADULT MORTALITY 28 34 32 29 18 DISPERSAL 33 35 21 31 DISEASES & PARASITES MARINE HABITATS 24 25 20 BODY CONDITION 22 26 TERRESTRIAL HABITATS FOOD AVAILABILITY 27 EXPLANATIONS: CLIMATE CHANGE 1. Climate change affects sea ice distribution and features; water masses distribution 2. Climate change affect snow cover, coastal erosion, sea level which important for breeding sites 3. Climate change affects distribution, abundance and availability of prey 4. Climate change affects distribution, life cycle and virulence of infectouse and parasitic organisms 5. Climate change affects distribution of predators 6. Climate change affects phenology of dispersal and availability of seasonally important areas POLLUTION & CONTAMINATION 7. Pollution/contamination may increase adult mortality 8. Pollution may reduce reproduction success 9. Pollution may decrease body condition OIL SPILL 10. Oil spill may reduce reproduction success 11. Oil spill may cause direct mortality 12. Oil spill may decrease body condition FISHERY 13. Commercial fishery deplete prey species abundance, on another hand, fishery can provide additional food source 14. Fishery can lead to direct seabird mortality in fishing gear (bycatch) DISTURBANCE 15. Disturbance can affect reproduction success HABITAT ALTERATION 16. Bottom disturbance may affect food availability for benthos feeding seabirds. 17. Area claim and disturbance may reduce availability of suitable breeding sites ALIEN SPECIES 18. Introduced species may increase predation HARVESTING 23. Harvesting increase adult mortality PREDATION 16 EXPLANATIONS: 20. Decreased body condition may decrease reproductive success 17 21. Predation on eggs and chicks will reduce reproduction success 22. Seabirds stressed by predators may decrease their body conditions 24. Shortage in food may reduce reproduction success 25. Shortage in food may decrease body condition 26. Changes in distribution and availability of marine habitats may affect food availability for seabirds 27. Alteration in ice habitats can affect accessibility of seabirds for their predators (polar bears, arctic foxes). 29. Alteration of terrestrial habitat may affect availability of suitable breeding sites 30. Changes in distribution of marine habitats may affect migration routes and phenology, location of staging and wintering areas 31. Occurrence and types of pathogens and parasites may affect body conditions 32. Occurrence and types of pathogens and parasites may affect reproduction success 33. Changes in body condition may affect adult mortality 34. Body condition affects reproduction success 35. Body condition affect bird’s ability to disperse, and vice versa movement distances and time can affect body condition 28. Changes in dispersal patterns may cause changes in composition and frequency of pathogens and parasites Examples: Conceptual Visualization of Arctic Terrestrial Biodiversity Monitoring Scheme Process for Developing a Pan-Arctic Plan – Second Workshop • Goals: identify sampling scheme, partners & implementation plan. – Using the inventory/metadata in Background Paper, come to agreements on sampling methods (spatial and temporal) – Using the inventory/metadata determine existing networks/groups that can implement – Develop implementation plan (organizational structure, budget, reporting timelines, data management, etc.) Example: Pan-Arctic Sampling Design CBMP Output: Indices and Indicators Spatial distribution of marine population data collected. The size of the circle denotes the number of population time series from that location. www.asti.is CBMP Output Examples: Arctic Biodiversity Data Service www.abds.is CBMP Output Examples: Arctic Report Cards (Ecosystem Chapters) CBMP Output Examples: Multi-Authored Publications CBMP Output Examples: Assessments CBMP Output Examples: Predictive Models Figure 12. Comparison of observed (A) and predicted (B) population trends expressed as average rates of change, for terrestrial data only. The term lambda means rate of change. Lessons Learned • Be relevant - Clearly articulate objectives, questions & reporting mandates & design plan around these • Art of the Possible: build a simple plan based on existing/anticipated capacity & data (don’t forget existing data!) & start small • Budget for Data Management, Analysis & Reporting: plan & agree on data management approach early in process & use new technologies (distributed data networks) Lessons Learned • Meet annually (at least) to ensure implementation is happening, allow for adjustments to the plan & have performance measures • Build flexibility and adapt – remember you are guessing on what are the key elements of the system to monitor (time will tell) • Involve managers & funders in the development • Show value of integration through early results: – Develop early, targeted products for policy makers, scientists and the public Thank you For more information please visit: www.cbmp.is www.caff.is Photos by Carsten Egevang/ ARC-PIC.com Shutterstock.com/Larry Mauer Shutterstock.com/Oksana Perkins Shutterstock.com/Erkki & Hanna U.S. Fish and Wildlife Service Questions To Focus On • With our ‘clients’ in mind… – In 10 Years, what do we want to be able to say about Antarctic Terrestrial Ecosystems? What elements of the system should we be tracking? – Therefore, what are the priority indicators to develop? – What data will we need (e.g. What parameters to measure?) – What driver data is needed to allow us to interpret these trends? – What conceptual framework should we use to ensure the system is well covered? Questions To Focus On • What existing data and networks do we have that can help us begin to report? • What new networks (filling gaps) would we need? • What trends may the plan be unable to detect? Questions to Focus On • Where should we be sampling? How frequently? (e.g. power analysis) • What organizational structure will we need to organise the relevant networks and stations to form and implement an integrated Arctic biodiversity monitoring plan? • What resources will be required to implement the monitoring plan? • What critical gaps remain, and what approaches should be considered to fill these?