Filters: Tags: Upper Colorado River Basin (X) > Types: ArcGIS REST Map Service (X)
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This dataset contains the predicted probability of occurrence for modeled distributions of red 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.
This dataset contains the threat index for streams and catchments in the Upper Colorado Basin. The threat index is based on a count of presence of threat categories, where threat categories included canals, dams, impaired streams, agriculture and urban land use, mines, pollution, discharge sites, railroads, roads, stream crossings, and waste facilities. For each focal catchment the number of stressor types was summed in the upstream watershed and then the results were scaled to range from 0 (no stressors) to 1 (highest number of stressors) without weighting any of the stressor types.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: native fish species,
non-native fish species,
threat index,
upper colorado river basin
Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) 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 intermittency on gaged streams (115 gages) and environmental variables. We then projected intermittency status to ungaged reaches in the Upper Colorado...
Our objective was to model minimum flow coefficient of variation (CV) 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 minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....
This dataset contains the predicted probability of occurrence for modeled distributions of rainbow trout. 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 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.
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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