Articles | Volume 27, issue 14
https://doi.org/10.5194/hess-27-2747-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-2747-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains
Cooperative Institute for Research in Environmental Science (CIRES), University of Colorado, Boulder, CO 80309, USA
now at: Hydrological Sciences Laboratory, NASA Goddard Space Flight
Center, Greenbelt, MD 20771, USA
now at: ESSIC, University of Maryland, College Park, College Park, MD 20742, USA
Yiwen Fang
Department of Civil and Environmental Engineering, University of
California, Los Angeles, CA 90095, USA
Steven A. Margulis
Department of Civil and Environmental Engineering, University of
California, Los Angeles, CA 90095, USA
Ben Livneh
Cooperative Institute for Research in Environmental Science (CIRES), University of Colorado, Boulder, CO 80309, USA
Department of Civil, Environmental and Architectural Engineering,
University of Colorado, Boulder, CO 80309, USA
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Short summary
Wolverine denning habitat inferred using a snow threshold differed for three different spatial representations of snow. These differences were based on the annual volume of snow and the elevation of the snow line. While denning habitat was most influenced by winter meteorological conditions, our results show that studies applying thresholds to environmental datasets should report uncertainties stemming from different spatial resolutions and uncertainties introduced by the thresholds themselves.
Wolverine denning habitat inferred using a snow threshold differed for three different spatial...