Opportunity at National Oceanic and Atmospheric Administration (NOAA)
Broad-scale freshwater habitat modeling to support salmon restoration in California
National Marine Fisheries Service, Southwest Fisheries Science Center
||Santa Cruz, CA 95060
|Boughton, David A
Our group is interested in understanding the capacity of freshwater stream systems in California to support restoration or reintroduction of populations of Pacific salmon and steelhead, including prospects for future capacity in a changing climate. We have a research opportunity for a quantitative hydrological or ecological modeler to help us prepare broad-scale datasets for stream systems in California. The candidate would use advanced statistical models, existing hydrologic datasets such as gauging data and NorWest SSN stream layers, and/or relevant remote sensing data such as NAIP or MODIS to prepare spatially-explicit datasets on stream channel, riparian zone, and/or flow characteristics. Papers given below are from other labs but describe the kinds of methods that we would like to adapt to habitat modeling in California.
Booker, D.J. (2010). "Predicting wetted width in any river at any discharge." Earth Surface Processes and Landforms 35: 828-841.
Dauwalter, D. C., et al. (2015). "Using Aerial Imagery to Characterize Redband Trout Habitat in a Remote Desert Landscape." Transactions of the American Fisheries Society 144(6): 1322-1339.
Pfeiffer, A.M. & Finnegan, N.J. (2016) Basin-scale methods for predicting salmonid spawning habitat via grain size and riffle spacing, tested in a California coastal drainage. Earth Surface Processes and Landforms DOI: 10.1002/esp.4053
Habitat Modeling; Hydrology; Fluvial Geomorphology; Hydrologic Modeling; Quantitative Modeling; Salmonids; Fisheries; River Restoration; Geographic Information System.
Open to U.S. citizens, permanent residents and non-U.S. citizens
Open to Postdoctoral and Senior applicants
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the
number of years of experience past their PhD.