Filters: Tags: Upper Colorado River Basin (X) > Types: Map Service (X)
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This dataset contains the predicted probability of occurrence for modeled distributions of bonytail chub. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of gizzard shad. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of mottled sculpin. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between frequency of low-pulse events on gaged streams (115 gages) and environmental variables. We then projected frequency of low-pulse events to ungaged reaches in the Upper Colorado River Basin...
This dataset contains the predicted probability of occurrence for modeled distributions of mountain whitefish. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of redside shiner. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
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