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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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This dataset represents actual and predicted suitable habitat for Prunus serotina (black cherry, species code 762) in the Eastern United States as measured by importance value based on data obtained from the Forest Inventory and Analysis (FIA) project, current climate conditions, and future climate projections. This summary unit of this dataset is a 20 by 20 kilometer cell. The actual importance value (IV) was calculated based on the number of stems and basal area of a given tree species relative to other tree species on a plot using about 100,000 FIA plots (representing nearly 3 million tree records) in the 37 states within the United States east of the 100th meridian. These importance values were summarized to...
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These data are statistical model outputs for American badger (Taxidea taxus) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are available for each...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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These data are statistical model outputs for appressed muhly (Muhlenbergia appressa) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are available...
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These data are statistical model outputs for Gila woodpecker (Melanerpes uropygialis) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are available...
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These data are statistical model outputs for Parry's spineflower (Chorizanthe parryi var parryi) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are...
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These data are statistical model outputs for red-diamond rattlesnake (Crotalus ruber) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are available...
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These data are statistical model outputs for scrub lotus (Acmispon argyraeus var multicaulis) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are...
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This dataset represents actual and predicted suitable habitat for Carya illinoensis (pecan, species code 404) in the Eastern United States as measured by importance value based on data obtained from the Forest Inventory and Analysis (FIA) project, current climate conditions, and future climate projections. This summary unit of this dataset is a 20 by 20 kilometer cell. The actual importance value (IV) was calculated based on the number of stems and basal area of a given tree species relative to other tree species on a plot using about 100,000 FIA plots (representing nearly 3 million tree records) in the 37 states within the United States east of the 100th meridian. These importance values were summarized to 20 by...
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This dataset represents actual and predicted suitable habitat for Asimina triloba (pawpaw, species code 367) as measured by importance value based on data obtained from the Forest Inventory and Analysis (FIA) project, current climate conditions, and future climate projections. This summary unit of this dataset is a 20 by 20 kilometer cell. The actual importance value (IV) was calculated based on the number of stems and basal area of a given tree species relative to other tree species on a plot using about 100,000 FIA plots (representing nearly 3 million tree records) in the 37 states within the United States east of the 100th meridian. These importance values were summarized to 20 by 20 kilometer grid cells. Current...
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This dataset represents actual and predicted suitable habitat for Carya aquatica (water hickory, species code 401) in the Eastern United States as measured by importance value based on data obtained from the Forest Inventory and Analysis (FIA) project, current climate conditions, and future climate projections. This summary unit of this dataset is a 20 by 20 kilometer cell. The actual importance value (IV) was calculated based on the number of stems and basal area of a given tree species relative to other tree species on a plot using about 100,000 FIA plots (representing nearly 3 million tree records) in the 37 states within the United States east of the 100th meridian. These importance values were summarized to...
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Fish distribution in Umpqua National Forest. The cover was built at two locations and by two people. Cottage Grove prepared the Cottage Grove district fish distribution and the Supervisors office prepared the fish distribution for Tiller, North Umpqua, and Diamond Lake districts. The SO then merged the two layers together. The fish distribution layer was developed using the existing stream layer, then identifying those streams and stream breaks for each fish species. The streams that don't have any fish distribution were deleted fom the layer. Arcview was the program used to create the layer utilizing heads-up digitizing to identify the breaks. This cover was built at a map scale of 1:24000.
Abstract The distribution and future fate of ectothermic organisms in a warming world will be dictated by thermalscapes across landscapes. That is particularly true for stream fishes and cold-water species like trout, salmon, and char that are already constrained to high elevations and latitudes. The extreme climates in those environments also preclude invasions by most non-native species, so identifying especially cold habitats capable of absorbing future climate change while still supporting native populations would highlight important refugia. By coupling crowd-sourced biological datasets with high-resolution stream temperature scenarios, we delineate network refugia across >250 000 stream km in the Northern...
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Important Forest Resource Areas are those landscape areas that are considered to be of high program potential or priority by State Forest Action Plans, and as defined by National Forest Stewardship Program Standards and Guidelines. This dataset contains the combined areas for Illinois, Indiana, Iowa, Minnesota, Missouri, and Wisconsin within the Mississippi River Basin. Grid Value "1": Stewardship Potential - Areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery, but are not considered a priority. Grid Value "2": High Stewardship Potential - Priority areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery.
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Mainstem Mississippi River bottomlands. Derived by combining the Mississippi alluvial plain with natural floodplains created by the Scientific Assessment and Strategy Team for the Upper Mississippi. While the Mississippi alluvial plain is not entirely bottomland (e.g. Crowley's Ridge), excluding these non-bottomland areas from analysis would exclude opportunities to expand existing forest patches and enhance connectivity.


map background search result map search result map Umpqua National Forest Fish Distribution American badger - UCSB Species Distribution Model, CA Desert Appressed muhly - UCSB Species Distribution Model, CA Desert Gila woodpecker - UCSB Species Distribution Model, CA Desert Parry's spineflower - UCSB Species Distribution Model, CA Desert Red-diamond rattlesnake - UCSB Species Distribution Model, CA Desert Scrub lotus - UCSB Species Distribution Model, CA Desert Eastern United States Climate Change Tree Atlas - Suitable habitat for Prunus serotina (black cherry) as measured by importance value (IV) Eastern United States Climate Change Tree Atlas - Suitable habitat for Carya illinoensis (pecan) as measured by importance value (IV) Eastern United States Climate Change Tree Atlas - Suitable habitat for Carya aquatica (water hickory) as measured by importance value (IV) Eastern United States Climate Change Tree Atlas - Suitable habitat for Asimina triloba (pawpaw) as measured by importance value (IV) Burrowing Owl (Athene cunicularia) Modeled Distribution Mainstem Floodplains - Large Bottomland Ecological System Important Forest Resource Areas UMRGLR JV - Wetland Breeding Bird Habitat Priorities U.S. Geological Survey Gap Analysis Program Species Distribution Models Umpqua National Forest Fish Distribution American badger - UCSB Species Distribution Model, CA Desert Appressed muhly - UCSB Species Distribution Model, CA Desert Gila woodpecker - UCSB Species Distribution Model, CA Desert Parry's spineflower - UCSB Species Distribution Model, CA Desert Red-diamond rattlesnake - UCSB Species Distribution Model, CA Desert Scrub lotus - UCSB Species Distribution Model, CA Desert UMRGLR JV - Wetland Breeding Bird Habitat Priorities Important Forest Resource Areas Eastern United States Climate Change Tree Atlas - Suitable habitat for Carya illinoensis (pecan) as measured by importance value (IV) Eastern United States Climate Change Tree Atlas - Suitable habitat for Asimina triloba (pawpaw) as measured by importance value (IV) Mainstem Floodplains - Large Bottomland Ecological System Eastern United States Climate Change Tree Atlas - Suitable habitat for Carya aquatica (water hickory) as measured by importance value (IV) Eastern United States Climate Change Tree Atlas - Suitable habitat for Prunus serotina (black cherry) as measured by importance value (IV) Burrowing Owl (Athene cunicularia) Modeled Distribution U.S. Geological Survey Gap Analysis Program Species Distribution Models