18.01.2013 Views

watervulnerability

watervulnerability

watervulnerability

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Umatilla National Forest Watershed Vulnerability Assessment, Pacific Northwest Region (R6)<br />

FINE SCALE ANALYSIS FOR BULL TROUT<br />

Bull trout (Salvelinus confluentus) was used as our aquatic focal species in the WVA because bull trout<br />

require cold (≤ 17 °C) and relatively low gradient, pristine waters to rear and spawn. They have a small<br />

thermal niche and are very responsive to changes in stream temperature. Analysis of suitable habitat on<br />

the UNF is necessary because bull trout are on the edge of their bioclimatic envelope (Beever et al. 2010,<br />

Dunham et al. 2003); the UNF is a fairly low elevation, dry forest landscape. Bull trout populations in the<br />

southern parts of the UNF can also be described as peripheral populations or species that are at the<br />

geographic edge of their range; they often have increased conservation value because they maximize<br />

within-species biodiversity, retain important evolutionary legacies, and may provide a “gene pool” for<br />

future adaptation (Haak et al. 2010). Previous research suggests future stream temperature increases on<br />

the forest, but influences on distribution and abundance of stream organisms is not well documented<br />

(Rieman et al. 2007). To begin the analysis, current bull trout distributions were identified in the<br />

Umatilla, Walla Walla, Tucannon, Lookingglass, and North Fork John Day (NFJD) drainages. Previous<br />

stream surveys conducted by USFS and ODFW/WDFW were used to verify current bull trout<br />

distribution.<br />

Multiple Regression Stream Temperature Model<br />

A multiple regression stream temperature model developed by the RMRS was used to model historic,<br />

current and future (years 2033, 2058, 2080) suitable bull trout habitat. Stream temperature model<br />

information and methods to the can be found at<br />

www.fs.fed.us/rm/boise/AWAE/projects/stream_temperature.shtml<br />

The regression model used observed mean weekly maximum temperature (MWMT) and physical<br />

parameters or predictor variables and geomorphic variables that have direct effects on stream<br />

temperatures. (The regression equation and coefficients can be found at<br />

www.fs.fed.us/ccrc/wva/appendixes.)<br />

Physical metrics:<br />

• Water diversion<br />

• Wildfire – Used data from the last 20 years; ~4km from the stream.<br />

• Groundwater Dependent Ecosystems (resiliency): number of springs and wetlands per HU12,<br />

rated<br />

Geomorphic variables or metrics (National hydrologic data set):<br />

• Cumulative drainage area (km 2 )<br />

• Slope (%)<br />

• Elevation (m)<br />

Observed Stream Temperature and Climate Data<br />

Observed summer MWMT were taken from 37 locations and provided a total of 333 stream observations.<br />

A separate regression model was developed to predict historic and future stream temperatures using the<br />

same physical and geomorphic predictor vales, however, air MWMT data (1979-2009) and flow (m 3 /s)<br />

data (1957-2009) were considered. (Details about this regression model are available at<br />

www.fs.fed.us/ccrc/wva/appendixes.)<br />

219 Assessing the Vulnerability of Watersheds to Climate Change

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!