Bull Trout Vulnerability Assessment in Columbia River Basin Geodatabase

Contains two layers: 1. Bull Trout Vulnerability Assessment: This analysis was generated to show the relative vulnerability of bull trout across the Columbia basin. Input variables include the prportion of valley bottom (e.g. floodplains), the average max summer temperature (July 15th to Sept 15th), and winter flood frequency (the frequency of high flow events exceeding the 95th percentile from December through March) for a given watershed. The estimates for temperature and flow were taken from the mouth of the watershed. This analysis includes historic and future (2040s scenario). Stream temperature and flow data are avaliable at rap.ntsg.umt.edu. See Wu H, Kimball JS, Elsner MM, Mantua N, Adler RF, Stanford JA (2012a) Projected climate change impacts on the hydrology and temperature of Pacific Northwest rivers. Water Resources Research, 48, W11530 for information on stream temp and flow data. 2. Valley Bottoms: Valley bottoms for the Columbia River were generated from an algorithm for Dave Nagel (USFS). See Nagel, D. E., J. M. Buffington, S. Parkes, S. J. Wenger, and J. R. Goode (2013) A landscape Scale Valley Confinement Algorithm: delineating unconfined valley bottoms for geomorphic, aquatic, and riparian applications. Page 42. RMRS-GTR-321. USDA Forest Service, Rocky Mountain Research Station, Boise, ID for more information. Input used to delineate the valley bottoms include a 30 m DEM and the NHD moderate resolution data.The algorithm estimates unconfined valley bottoms (UVB) from elevation and stream data in a GIS. We used the NHD streams and 30 m National Elevation Dataset (NED) data packaged with the NHD dataset. The UVB algorithm calculates a first-pass estimate of UVB using a GIS cost-distance approach (distance from stream times ground slope), and results are refined using a valley-filling procedure where a valley is “flooded” to a set flood height above the stream channel elevation. The flood height is set as a user-defined “flood factor” multiplied by bankfull depth. We used a flood factor of 6 in this analysis. The flood height is spread outward from the stream until it intersects a valley wall, and is further confined by a user-defined maximum ground slope (9%) and max valley width, which we set to 2000 m. We used an annual mean precipitation value of 150 cm for the study area, and all other variables in the algorithm were set to defaults. Further details on the algorithm can be found in Nagel et al. (2014). We used the percent slope calculated as part of the UVB algorithm (using the 30 m NED data).

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