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Ecological Focus Areas (EFA), geographically explicit areas in which to address conservation issues, represent landscapes where conservation actions can be applied for maximum benefit to all Kansas wildlife. Each EFA includes a suite of SGCN and priority habitats and a unique set of conservation actions designed to address the specific resource concerns facing these species and habitats. Each EFA also includes one or more protected areas that can serve as demonstration sites for conservation actions.
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The Conservation Opportunity Areas (COAs) for Tennessee capture populations of GCN species and high quality habitats, and as appropriate, define the geographically relevant framework for achieving conservation outcomes. The COAs currently designed for Tennessee are large geographies, with the expectation that further prioritization and goal setting for specific habitat outcomes can be achieved within them through collaborations with partners on shared objectives. While designing the COAs for Tennessee, the planning team considered three major attributes: GCN habitat priority, the problems affecting the habitats, and the on-the-ground opportunities to implement conservation actions.
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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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This dataset provides supporting information for the species distribution data used in the associated manuscript. Collections of five non-native fish species were made by a number of institutions, and several capture techniques were used. This dataset also includes number of individuals of each species captured at each locality.
The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite habitat modeling and help maintain a record of the various input data, pre- and post-processing steps and modeling options incorporated in the construction of a species distribution model through the established workflow management and visualization VisTrails software. This paper provides an overview of the VisTrails:SAHM software including a link to the open source code, a table detailing the current SAHM modules, and a simple example modeling an invasive weed species in Rocky Mountain National Park, USA.
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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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The Polygons represent the USGS NHD 12 digit HUC polygons which contain known winter roost trees for Northern long-eared bat (Myotis septentrionalis). This data was updated 12/12/2016 to include a watershed in Bladen County, NC, this data was updated 03/20/2018 to include more watersheds
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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 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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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...


map background search result map search result map Umpqua National Forest Fish Distribution 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 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 Kansas - Terrestrial Ecological Focus Areas Tennessee Conservation Opportunity Areas 12 Digit Hucs for Winter Roost Sites forNorthern Long-eared Bats in Eastern North Carolina U.S. Geological Survey Gap Analysis Program Species Distribution Models Distribution and status of five non-native fish species in the Tampa Bay drainage (USA), a hot spot for fish introductions-Data Basin-wide Restoration Opportunities - Cotton (2017) Distribution and status of five non-native fish species in the Tampa Bay drainage (USA), a hot spot for fish introductions-Data Umpqua National Forest Fish Distribution 12 Digit Hucs for Winter Roost Sites forNorthern Long-eared Bats in Eastern North Carolina Tennessee Conservation Opportunity Areas Kansas - Terrestrial Ecological Focus Areas 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 Asimina triloba (pawpaw) as measured by importance value (IV) Basin-wide Restoration Opportunities - Cotton (2017) Eastern United States Climate Change Tree Atlas - Suitable habitat for Carya aquatica (water hickory) as measured by importance value (IV) Burrowing Owl (Athene cunicularia) Modeled Distribution U.S. Geological Survey Gap Analysis Program Species Distribution Models