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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. https://www.fws.gov/science/catalog
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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. https://www.fws.gov/science/catalog
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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. https://www.fws.gov/science/catalog
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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. https://www.fws.gov/science/catalog
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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. https://www.fws.gov/science/catalog
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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. https://www.fws.gov/science/catalog
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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. https://www.fws.gov/science/catalog
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Conclusions: Soil texture, native prairie and grassland cover, and proximity to linear disturbances affect habitat suitability for burrowing owls. Native prairie coverage was considered the most critical variable in determining the most suitable habitat. The higher the percentage of native prairie, the more suitable it is for burrowing owl habitat.*Note that this study generated landscape level models with coarse variables, and the thresholds and values used may not be directly applicable to other areas or for site-specific analysis. Thresholds/Learnings: Synopsis: This report provides information on the habitat suitability requirements of the burrowing owl. Due to limited available data, the model that this...
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Synopsis: Resource managers confronted with preserving ecosystems for prairie wetland birds in fragmented landscapes require landscape studies that direct conservation efforts over broad geographic regions. We investigated the role of local and landscape factors affecting habitat suitability by integrating remotely sensed wetland and land-cover data with wetland bird habitat models. We linked habitat models with locations of easement and fee-title wetlands to evaluate spatial location and extent of protected, suitable habitat. We also simulated impacts of the loss of small wetlands on suitability of larger wetlands for mobile species that use multiple wetlands. Lastly, we evaluated the efficacy of waterfowl habitat...
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We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the modeling workflow developed in Young et al. 2020, but developed models both for two data types, where species were present and where they were abundant. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2]. We accounted for uncertainty related to sampling bias by using two alternative sources of background samples, and constructed model ensembles using the 10 models for each species (five algorithms by two background methods) for four different thresholds. This data bundle contains the presence and...
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We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant native riparian woody taxa. Study taxa were non-native tamarisk (saltcedar; Tamarix ramosissima, Tamarix chinensis), Russian olive (Elaeagnus angustifolia) and Siberian elm (Ulmus pumila) and native plains/Fremont cottonwood (Populus deltoides ssp. monilifera and ssp. wislizenii, Populus fremontii), narrowleaf cottonwood (Populus angustifolia), and black cottonwood (Populus balsamifera ssp. trichocarpa and ssp. balsamifera). We generally followed the modeling workflow developed in Young et al. 2020. We developed models using...
map background search result map search result map A landscape approach to conserving wetland bird habitat in the prairie pothole region of eastern South Dakota. Seward KS Third Order Resource Selection Function Rawlins KS Third Order Resource Selection Function Gray KS Third Order Resource Selection Function Wallace KS Third Order Categorized Resource Selection Function Washington CO Third Order Resource Selection Function Wallace KS Second Order Categorized Resource Selection Function Prowers CO Second Order Resource Selection Function Burrowing Owl Black-necked Gartersnake: 2030 Habitat Suitability Consensus of All Models New Mexico Meadow Jumping Mouse: 2060 Habitat Suitability Consensus of All Models Presence and abundance models management summaries for four invasive plant species 2. Independent occurrence data for model assessment for woody riparian native and invasive plant species in the conterminous western USA Seward KS Third Order Resource Selection Function Wallace KS Third Order Categorized Resource Selection Function Wallace KS Second Order Categorized Resource Selection Function Gray KS Third Order Resource Selection Function Rawlins KS Third Order Resource Selection Function Prowers CO Second Order Resource Selection Function Burrowing Owl Washington CO Third Order Resource Selection Function A landscape approach to conserving wetland bird habitat in the prairie pothole region of eastern South Dakota. Black-necked Gartersnake: 2030 Habitat Suitability Consensus of All Models New Mexico Meadow Jumping Mouse: 2060 Habitat Suitability Consensus of All Models 2. Independent occurrence data for model assessment for woody riparian native and invasive plant species in the conterminous western USA Presence and abundance models management summaries for four invasive plant species