Circumpolar Biodiversity Monitoring Program (CBMP) Approach for Designing Pan-Arctic Biodiversity...
If you can't read please download the document
Circumpolar Biodiversity Monitoring Program (CBMP) Approach for Designing Pan-Arctic Biodiversity Monitoring Plans Mike Gill: CBMP Program Officer, Environment
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
Slide 2
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
Slide 3
CBMP Objectives: Adding Value Monitoring networks coordinated,
harmonized and cost- effective 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
Slide 4
UNEP Biodiversity Indicator Partnership Global Earth
Observation: Biodiversity Observation Network Convention on
Biological Diversity Other AC Working Groups International and
Strategic linkages
Slide 5
Overall Program Design & Organization
Slide 6
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 Key Initiatives: Coordinated Monitoring
Slide 7
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
Slide 8
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
Slide 9
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.
Slide 10
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
Slide 11
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.
Slide 12
Examples: Conceptual Scenarios
Slide 13
Examples: Cause-Effect Charts
Slide 14
Examples: Conceptual Visualization of Arctic Terrestrial
Biodiversity Monitoring Scheme
Slide 15
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.)
Slide 16
Example: Pan-Arctic Sampling Design
Slide 17
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: Indices and
Indicators
Slide 18
CBMP Output Examples: Arctic Biodiversity Data Service
www.abds.is
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.
Slide 23
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 (dont 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
Slide 24
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
Slide 25
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 Thank you For more information
please visit: www.cbmp.is www.caff.is
Slide 26
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?
Slide 27
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?
Slide 28
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?