The precedent: California just finished their statewide analysis. It required painstaking ID of core...
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![Page 1: The precedent: California just finished their statewide analysis. It required painstaking ID of core areas to connect. These are shown by the colored “sticks”](https://reader035.fdocuments.net/reader035/viewer/2022081515/56649ea15503460f94ba4865/html5/thumbnails/1.jpg)
The precedent: California just finished their statewide analysis. It required painstaking ID of core areas to connect.
These are shown by the colored “sticks” connecting core areas
![Page 2: The precedent: California just finished their statewide analysis. It required painstaking ID of core areas to connect. These are shown by the colored “sticks”](https://reader035.fdocuments.net/reader035/viewer/2022081515/56649ea15503460f94ba4865/html5/thumbnails/2.jpg)
The precedent: California just finished their statewide analysis. It required painstaking ID of core areas to connect.
These are shown by the colored “sticks” connecting core areas
![Page 3: The precedent: California just finished their statewide analysis. It required painstaking ID of core areas to connect. These are shown by the colored “sticks”](https://reader035.fdocuments.net/reader035/viewer/2022081515/56649ea15503460f94ba4865/html5/thumbnails/3.jpg)
Once “sticks” were identified, California modeled linkages one-by-one, taking months and tens of thousands of dollars in analyst time.
And that was for just one integrity-based analysis, compared to 16 focal species plus integrity in WA.
We need to avoid this and automate as much as possible!
![Page 4: The precedent: California just finished their statewide analysis. It required painstaking ID of core areas to connect. These are shown by the colored “sticks”](https://reader035.fdocuments.net/reader035/viewer/2022081515/56649ea15503460f94ba4865/html5/thumbnails/4.jpg)
How to accomplish something comparable but automatable?
Need to create informative maps for 16 focal species + landscape integrity
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Habitat Concentration areas (HCAs)
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7Sharp-tailed Grouse
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Candidate map #1: Cost-weighteddistances to all 11 HCAs using resistance surface
See notes attached to this and following slides
Sharp-tailed grouse
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Masked out areas beyond 300km
7Sharp-tailed Grouse
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Cost-weighted distance from HCA #3
7Sharp-tailed Grouse
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Sum of cost-weighted distances from HCAs 3 & 5 = Least-cost corridor
7Sharp-tailed Grouse
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Problem #1: How to get a map like this….
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From a bunch of maps like this?
7Sharp-tailed Grouse
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Proposed method:Minimum of all normalized least-cost corridors
7Sharp-tailed Grouse
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Proposed method:Minimum of all normalized least-cost corridors
7Sharp-tailed Grouse
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Proposed method:Minimum of all normalized least-cost corridors
7Sharp-tailed Grouse
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Problem with overlapping corridors
7Sharp-tailed Grouse
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Problem # 2: Which HCAs to connect?
Sharp-tailed Grouse
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117
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Proposed method:If a least-cost corridor passes through an intermediate HCA, don’t map the corridor
7Sharp-tailed Grouse
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Creates a network of HCA’s
Sharp-tailed Grouse
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Proposed method:If a least-cost corridor passes through an intermediate HCA, don’t map the corridor
Assume it can be represented by individual corridors
Sharp-tailed Grouse
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Candidate map product 2: Minimum of all normalized corridor layersusing network of HCA’s
Sharp-tailed grouse
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Candidate map product 3: Some measure of corridor quality
Here, I’ve divided each corridor by the geographic distance between the HCAs it connects
Sharp-tailed grouse
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Candidate map product 3: Some measure of corridor quality
Here, I’ve divided each corridor by the geographic distance between the HCAs it connects
Sharp-tailed grouse
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Circuitscape results- pinch points and redundancy between HCAs 3 and 5
Sharp-tailed grouse
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Circuitscape results- important barriers separating HCAs 3 and 5
Sharp-tailed grouse
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Candidate map product 4: Circuitscape results showing pinch points and areas important for network
Brighter areas are pinch points and/or have higher centrality (meaning they’re important for multiple pairs of HCAs).
May be more appropriate for ecoregional and local analyses.
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Candidate map product 5: Circuitscape results showing important barriers in network
Sharp-tailed grouse
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Problem: Some maps display well at larger extents…
Sharp-tailed grouse
Normalized corridors
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Problem: Some maps display well at larger extents…
…and some don’t
Sharp-tailed grouse
Corridor quality
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If needed, “sticks” can be color coded to indicate corridor info (like quality) without need to create additional hi-res maps
(Some concern about landowner sensitivity)
Sharp-tailed Grouse
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NEEDS-Funds to develop climate-smart linkage design strategies
-GIS Tools!• Automate connectivity modeling, facilitate repeat analyses, streamline ecoregional analyses
• Integrate into Decision Support Systems
• Get tools into hands of other states and planners
-New ways to share maps, tools, and data on the web
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Opportunities & Risks-Rare opportunity to influence connectivity conservation throughout west (& elsewhere!)-Highly fundable (WCS, WGA, LCCs, etc.)-Critical planning needs (e.g. for greater sage-grouse)
-All eyes are on Washington
-Large partnerships and limited capacity = potential for timeline slippage-We’re on hook for Columbia Plateau analysis (Aug 2011)-Maps take on lives of their own (So do tools!)