Using ArcGIS Pro to Evaluate the Impacts of In-Stream Barriers on Fish Habitats Case study: Bonneville cutthroat trout (BCT) habitats in the Bear River.

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Presentation transcript:

Using ArcGIS Pro to Evaluate the Impacts of In-Stream Barriers on Fish Habitats Case study: Bonneville cutthroat trout (BCT) habitats in the Bear River watershed, Utah Ali Farshid, Ph.D. student, Dept. of Watershed Sciences CEE 6440: GIS in Water Resources (Term Project) Professor: Dr. David Tarboton Fall 2018

Outline Background Project region & species Assumptions Methods & Results (so far) Conclusion

1/5 – Research background Analyze the trade-offs between fish habitats and hydroeconomic activities $ Jager, H. I., Efroymson, R. A., Opperman, J. J., and Kelly, M. R. (2015). “Spatial design principles for sustainable hydropower development in river basins.” Renewable and Sustainable Energy Reviews, 45, 808–816. https://www.sciencedirect.com/science/article/pii/S1364032115000775

2/5 – Project region Bear River Watershed ~ 7,500 mi2 Bear River: ~ 500 mi Elev.: 13,000 ft to 4,200 ft Shared among 3 states https://www.bearriverinfo.org Bear River Watershed Stream Structures 41 barriers ≤ 10 feet = barriers ≤ 50 feet = impoundments ≤ 165 feet = small dams https://hub.arcgis.com/ Data source: https://hub.arcgis.com/ Data source: https://hub.arcgis.com/

Data source: Trout Unlimited 2/5 – Project species Bonneville cutthroat trout (BCT) subspecies native to the Bonneville basin evolved as a lake-dwelling population became restricted to stream-dwelling Symbol and State Fish of Utah https://wildlife.utah.gov/cutthroat/BCT/index.html https://www.utah.gov/about/symbols.html http://www.southerntrout.com/ Data source: Trout Unlimited https://www.tu.org/

3/5 - Assumptions Suitable fish (BCT) habitat is a complex function of: Stream connectivity Hydraulic variables (Q, V, d,…) Geomorphologic variables (S0 , streambed materials,…) Environmental variables (Temp, DO, pH, pollution,…) Other variables (food source, cover, shelter, channel complexity,…) But, in the watershed scale we need a simpler model: Discharge -Q > 1.5 m3/s Channel bed gradient -S0 < 5% Temp -T < 15 deg C Then, what is the limiting factor??? Stream connectivity  can be affected by impoundments & dams GIS GIS selected many stream segments The Bear River watershed is potentially a SUITBALE habitat for BCT

4/5 – Methods & Results Bear River in its original state (no man-mad barriers) Total length of streams = 15,800 km Bear River in its current state (with man-mad barriers) Total length of defragmented (dammed) streams = ?

4/5 – Methods & Results (Cont.) For 41 dams in the watershed, I needed to automate the process Calculated stream segments length for 6 sub-watersheds using ArcGIS tools Total stream length U.S. of dam (km) Drainage area (mi2) Normal storage (ac-ft) Height (ft) Dam Name 23.9 17 2,256 97 Brich Creek No.2 96.8 58 4,350 103 Woodruff creek 115.6 72 12,800 165 Porcupine 56.8 28 4,050 82 Montpelier creek 73.59 30 1,713 39 Strongarm 1 𝑻𝒐𝒕𝒂𝒍 𝒇𝒓𝒂𝒈𝒎𝒆𝒏𝒕𝒆𝒅 𝒔𝒕𝒓𝒆𝒂𝒎𝒔 𝑻𝒐𝒕𝒂𝒍 𝒂𝒓𝒆𝒂 𝒐𝒇 𝒅𝒂𝒎𝒎𝒆𝒅 𝑾𝑺 = 𝒌𝒎 𝒌𝒎𝟐 = ?

5/5 - Conclusions Fish habitats - dams trade-offs One of the major risks to the habitats is defragmentation Using GIS+Python to analyze and quantify defragmentation Will introduce some metrics to roughly predict the effects of dams on habitat loss in the Bear River watershed

Thank you! Questions