Filters: Tags: Upper Colorado River Basin (X) > Categories: Data (X)
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This dataset contains the predicted probability of occurrence for modeled distributions of brook stickleback. 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 black bullhead. 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 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.
Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with varying disturbance and environmental contexts over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbance and development but also have lengthy recovery times. Here, we applied a dynamic reference approach to studying and projecting recovery of sagebrush on former oil and gas well pads in southwestern Wyoming, USA, using over 3 decades of remote sensing data (1985-2018). We also used quantile regression to evaluate factors...
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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