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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Probability is measured from 0 to 1 with 0 being low habitat suitability and 1 being high suitability. Probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global third-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
Classified probability of suitable habitat for Black Tailed Prairie Dogs for each cell of raster. Classification is based on 4 probability cutoff levels with category 1 being low habitat suitability and category 4 being high habitat suitability. Categorized probability data is created from fitting a global second-order model to county level raster data. For details on model fitting and data used to produce categorized probability raster see report. http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf
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Synopsis: Using multi-scale seasonal models, this study explored how broad scale landscape context and local resource heterogeneity influenced local resource selection among threatened forest-dwelling woodland caribou in southern Quebec. Caribou consistently avoided roads, however researchers identified thresholds in road proximity effects. The threshold distance at which caribou avoid roads is 1.25 km for active roads and 0.75 km from derelict roads. Open lichen woodlands were an important cover type for caribou during winter and spring, whereas deciduous forests, wetlands, and even young disturbed stands became important during calving and summer. Landscape cover type and amount explained more variation in habitat...


map background search result map search result map Assessing the influence of resource co-variates at multiple spatial scales: an application to forest-dwelling caribou faced with intensive human activity. Stevens KS Third Order Categorized Resource Selection Function Gove KS Third Order Resource Selection Function Hamilton KS Third Order Categorized Resource Selection Function Hayes NE Third Order Resource Selection Function Denver CO Third Order Resource Selection Function Yuma CO Third Order Categorized Resource Selection Function Phillips CO Third Order Resource Selection Function Phillips CO Third Order Categorized Resource Selection Function Beaver OK Third Order Categorized Resource Selection Function Rawlins KS Second Order Resource Selection Function Gray KS Second Order Resource Selection Function Morton KS Second Order Resource Selection Function Kimbal NE Second Order Resource Selection Function Deuel NE Second Order Categorized Resource Selection Function Mora NM Second Order Categorized Resource Selection Function Kit Carson CO Second Order Categorized Resource Selection Function Crowley CO Second Order Categorized Resource Selection Function Jefferson CO Second Order Resource Selection Function Jefferson CO Second Order Categorized Resource Selection Function Crowley CO Second Order Categorized Resource Selection Function Morton KS Second Order Resource Selection Function Phillips CO Third Order Resource Selection Function Phillips CO Third Order Categorized Resource Selection Function Denver CO Third Order Resource Selection Function Stevens KS Third Order Categorized Resource Selection Function Hayes NE Third Order Resource Selection Function Deuel NE Second Order Categorized Resource Selection Function Gray KS Second Order Resource Selection Function Hamilton KS Third Order Categorized Resource Selection Function Gove KS Third Order Resource Selection Function Rawlins KS Second Order Resource Selection Function Mora NM Second Order Categorized Resource Selection Function Jefferson CO Second Order Resource Selection Function Jefferson CO Second Order Categorized Resource Selection Function Kimbal NE Second Order Resource Selection Function Beaver OK Third Order Categorized Resource Selection Function Kit Carson CO Second Order Categorized Resource Selection Function Yuma CO Third Order Categorized Resource Selection Function Assessing the influence of resource co-variates at multiple spatial scales: an application to forest-dwelling caribou faced with intensive human activity.