Committee Meeting #1
Fortin Lab
Sep. 23, 2020
Peter R.
Monitoring biodiversity and ecosystem services in production landscapes
Where do I come from
- Academic background
- degrees
- papers
- Professional background
- CGHR (CFI grants)
- Consulting gigs
- Ecotourism company
Who am I
Time
Where do I come from
Where am I going to
Who am I
- Back at UofT after 20 years
- Interests
- Goals, why a PhD
Who am I
Time
Where do I come from
Where am I going to
Where am I going to?
- Goals
- Why a PhD?
- I like to learn
- Next logical step for more & better research
- NGO
- Biological conservation Ecuador/Latin America
- Become a bridge Canada & Ecuador conservation scientist
- ResNet is an ideal project
Who am I
Time
Where do I come from
Where am I going to
ResNet
- L1-L6
- Theme 1- 3
Theme 3 deliverables
- Advance theory, stats & code/tools for ES science
- Develop spatially explicit decision-support systems for ES management
- Develop a network framework to monitor ES & determine high risk areas in terms of ES loss
- Account for uncertainty
- Develop a prototype dashboard for national ES monitoring
- Create ES monitoring guidelines/protocols, papers
\mu , \sigma, \Delta
for (i in 1:10) {...}Key concepts
- Spatial Ecological Network (SEN) Models
- Patches as nodes, flows as links/relationships
- SEN structure & dynamics
- Socio-Economic (SE) context
- SE spatial data including admin boundaries
- Multi-scale analyses
- across time, space and L1-L6
- sensitivity analyses
Thesis
- Spatial Ecological Network (SEN) Models
- Patches as nodes, flows as links/relationships
- SEN structure & dynamics
- Socio-Economic (SE) context
- SE spatial data including admin boundaries
- Multi-scale analyses
- across time, space and L1-L6
- sensitivity analyses
Methods
- Spatial Ecological Network (SEN) Models
- Patches as nodes, flows as links/relationships
- SEN structure & dynamics
- Socio-Economic (SE) context
- SE spatial data including admin boundaries
- Multi-scale analyses
- across time, space and L1-L6
- sensitivity analyses
Expected results
- Spatial Ecological Network (SEN) Models
- Patches as nodes, flows as links/relationships
- SEN structure & dynamics
- Socio-Economic (SE) context
- SE spatial data including admin boundaries
- Multi-scale analyses
- across time, space and L1-L6
- sensitivity analyses
Research questions - I
- How & how often to measure EESV and biodiversity indicators (BI?
- Criteria, guidelines, protocol for choosing relevant EESV, BI?
- Criteria for defining landscape nodes & links
- Criteria for how to model ES feedbacks, trade-offs
- How to define a ES? (literature)
- How to define and detect ES changes?
Notes & questions - II
- Each landscape modeled as a SEN, with its own nodes & links
- Are we also working on attribution stats, causal network models?
- Are we managing data as part of Theme 3?
- Theme 3 Data/process flow considerations (see fig.)
- Methods need to be general enough to apply to all landscapes but specific enough to be useful at each landscape
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