Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: FRESC Science Data Coordinator (X)
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Amphibians are among the most sensitive taxa to climate change, and species inhabiting arid and semiarid landscapes at the extremes of their range are especially vulnerable to periods of drought. The Jack Creek, Oregon, USA population of Oregon spotted frogs (Rana pretiosa) faces unique challenges occupying the highest elevation site in the species’ extant range and one that has been hydrologically transformed by loss of American beaver (Castor canadensis). We evaluated the effect of drought mitigation (addition of excavated ponds) on relationships between local water availability, legacy beaver dams, and R. pretiosa population dynamics in the Jack Creek system. We conducted capture-mark-recapture sampling at a...
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National...
This dataset contains information from capture-mark-recapture sampling of Oregon spotted frogs (Rana pretiosa) conducted 2016-2019 by USGS as part of a study relating R. pretiosa survival and abundance to wetland inundation in the upper Deschutes River. Data consist of site, survey, habitat, and species detection covariates, as well as 10 years of hydrological and drought metrics used to establish relationships between river flow and area of inundation at survey sites. Remotely sensed and model predicted area wet estimates for the sites are also given.
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