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Participatory Modeling to Better Manage Ecosystems Dr. David E. Rosenberg.

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Presentation on theme: "Participatory Modeling to Better Manage Ecosystems Dr. David E. Rosenberg."— Presentation transcript:

1 Participatory Modeling to Better Manage Ecosystems Dr. David E. Rosenberg

2 Managed and impacted 2

3 3 How to allocate scarce resources to improve ecosystem performance?

4 Participatory Framework 4 a. Identify Management Purpose(s) b. Define Performance Metric c. Specify Decision Variables d. Relate Metric and Variables e. Identify Constraints f. Embed Metric in Systems Model as Objective to Maximize g. Compare current and “optimal” performance

5 Defining the Model with Refuge Stakeholders 5 ComponentRefuge actionsModel Management Objective Create diverse habitat types that support a diversity of bird species and mimic a well-functioning freshwater wetlands Performance indicator(s) Key bird species counts Native veg. coverage Water level targets Weighted unit area for wetlands (WUAW) Decision variables Water flow through canals, dikes, gates, etc. Water depth in units Burning, chemical apps. Predator control Water depth (WD) Flow duration (FD) Veg. coverage (VC) Constraints Water availability (physical & water rights) Conveyance network Max. flooding depths in wetland units Time to implement actions $$$ to implement.

6 Weighted unit area for wetlands (WUAW) Area that provides suitable conditions to reach habitat goals (m 2 ) Habitat Suitability attributes –Water depth –Vegetation coverage Weight suitability by surface area 6

7 Objective Function: Subject to: Non-Linear Program Formulation (Mass balance in each wetland unit i in time t) (Mass balance at each node) (Water availability) (Time to implement actions) ($$$ to implement actions) (Upper and lower bounds on decisions) 7

8 Recommended Water Levels

9 “We need to more dynamically adjust water levels in our wetland units” -- Howard Browers, Refuge biologist 9

10 Upscale River and wetlands Embed uncertainties From optimal to near- optimal Next Steps

11 Summary Points 1.Involve stakeholders at every step 2.Benefits –Establish credibility –Validate + interpret results –Implement recommendations 11

12 Omar Alminagorta Ayman Alafifi Dr. Karin Kettenring Acknowledgements Grant EE – 1149297

13 Further Information david.rosenberg@usu.edu http://rosenberg.usu.edu @WaterModeler

14 Bear River Migratory Bird Refuge, Utah 300 km 2 (118 km 2 as wetlands) 26 wetland units 200+ bird species Managed by U.S. Fish & Wildlife Service 14

15 Modeled wetland performance 15

16 Wetland performance versus water availability 16

17 Habitat suitability metric (unit area) Represent priority species, locations and seasons Easy-to-collect data Use in a systems model Watershed Habitat Performance Lower Bear River, Utah

18 18

19 Watershed Habitat Performance

20 Simulation Results State and Decision Variables August 2012 May 2013 Change (%) Instream flow (Ha-m/month) 6,5074,429 -47% River width (m) 2830 7% River depth (m) 2.301.95 -18% Floodplain area (km 2 ) 31 0% Inflow to the Refuge (Ha-m/month) 9393,598 74% Area of Riparian Area protected (km)2.33.1 26% Sub-Indicators Riparian Protection [RP] (km 2 ) 2,6593,540 25% Aquatic Life [AQ] (km 2 ) 37,94040,650 7% Floodplain Vegetation Nativity [NV] (km 2 ) 1420 30% Usable Area for Wetlands [WU] (km 2 ) 610 40% Total WHP (km 2 ) 40,61944,2208%


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