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Found 24 dataset(s) matching "Human wildlife interactions".
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Reports of negative interactions between humans and bears in Maryland have increased steadily since the 1990s, requiring substantial investments of time and resources for their management. While...
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Various stressors including temperature, environmental chemicals and toxins can have profound impacts on immunity to pathogens. It is believed that increased eutrophication near rivers and lakes...
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Mule deer (Odocoileus hemionus) along the Owl Creek Mountains display both a longitudinal and altitudinal migration as they depart the northern section of the Wind River Indian Reservation (fig....
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Grizzly bear (Ursus arctos) habitat use maps delineate predicted habitat use for grizzly bears around federally designated recovery zones in and near western Montana. These raster data are the...
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This dataset contains hourly vehicle traffic counts in the Kuparuk and Milne Point oil fields on the North Slope of Alaska during summers 2019 and 2020. The oil field roads were generally closed...
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This dataset consists of one table with a record (row) for each goose location and columns containing location information and covariates. The dataset was used in an analysis of altitude selection...
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Expanding human enterprise across remote environments impacts many wildlife species, including sage-grouse (Centrocercus urophasianus), an indicator species whose decline is at the center of...
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This data release contains five tables of information related to the movement patterns of Black Brant equipped with high-frequency GPS tags: 1) brant banding records, 2) helicopter flight routes...
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Predictions of an anthropogenic influence on raven occurrence index intersected with sage-grouse concentration areas. The anthropogenic influence index indicates where resource subsidies are...
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Predictions of raven occurrence intersected with high impact areas for sage-grouse populations. The index highlights regions where elevated raven occurrence is likely to impact breeding sage-grouse
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Minimum convex polygons created from survey locations at associated study sites.
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Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results.
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Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means...
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Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the...
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An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior...
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A hierarchical occupancy model adapted from Royle & Dorazio (2008) and Rota et al. (2011) for use in R.
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The Geoecology database is a compilation of environmental data for the period 1941 to 1981. The Geoecology database contains selected data on terrain and soils, water resources, forestry,...
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These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time...
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In October 2019, five marsh push cores (core names appended with M for marsh push core) and 18 surface sediment samples (top 1 cm of sediment) were collected from the estuary (sample name appended...
