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Determining occurrence and distribution is an essential 1st step in conservation planning for rare species. Spatial habitat models can be used to increase efficiency of field surveys and to improve understanding about factors influencing animal distributions. We used a modeling approach to identify and prioritize potential habitat for survey efforts for an uncommon mammal, the pygmy rabbit (Brachylagus idahoensis), for which detailed habitat data are limited. A base map of potential habitat in Idaho was defined using vegetation type and soil depth data. Documented locations (n = 164) were used to evaluate additional habitat variables to prioritize the potential habitat for surveys. We conducted field surveys to...
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This collection of maps shows relative habitat quality for a suite of species that use riparian overstory habitats. Component layers include: tree patch size, presence and complexity of riparian understory, and abundance of tamarisk. Associated layers such as river channels at high flow and bottomland reaches are included for reference.
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This dataset contains the predicted distributions of 445 terrestrial vertebrate species in Wyoming, created in a GIS modeling process using species habitat assocation rules in combination with species geographic range. Because of the large size of this dataset, it is distributed in two ways (complete, statewide), and tiled into 56 1:100,000-scale quadrangles units which are small enough to be utilized in the PC Arc/Info or ArcView environment.
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A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea-levels. In this study, we loosely coupled a habitat model framework with decadal hydrodynamic geomorphic model outputs to forecast habitats for 2 potential future conditions related to storminess (that is, "medium" storminess and "high" storminess based on storm climatology data) and 4 sea-level scenarios (that is, a "low" increase in sea level 0.3 m by around 2030 and 2050 and 1.0 m by around...
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This individual species distribution is derived from a GIS modeling process using species habitat association rules in combination with species geographic range. There are a total of 445 individual terrestrial vertebrate species distributions generated for Wyoming by the Wyoming Gap Analysis project.
A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea level (Enwright and others, 2020). This USGS data release contains five habitat model predictions from the aforementioned modeling effort. These include: (1) the contemporary period (that is, 2015); (2) with action Year 0 (that is, hypothetically, predicted habitat coverage in 2128 based on our sea-level change rate); (3) with action Year 10 (that is, predicted habitat coverage after ten years...
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The following vegetation map units were combined and recoded to 1 if they occurred on slopes less than or equal to 10%: Apacherian-Chihuahuan Semi-Desert Grassland and Steppe, Chihuahuan Loamy Plains Desert Grasslands, Apacherian-Chihuahuan Mesquite Upland Scrub, Chihuahuan Creosotebush Desert Scrub, and Agriculture. The extents of the map units were limited to HUC boundaries that included historic locations of black-tailed prairie dog towns and/or expert opinion. In some cases, there were HUCs that did not have evidence of historic towns, but were considered to contain sufficient habitat types to include within the model. In other cases, there was limited habitat and the boundaries of the HUC were clipped to include...
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This U.S. Geological Survey data release includes bare-earth digital elevation models (DEMs) that were produced by removing elevation bias in vegetated areas from structure-from-motion (SfM) data products for two sites on Dauphin Island, Alabama. These data were collected in the late fall of 2018 and spring of 2019. In addition to the bare-earth DEMs, this data release also includes vegetation masks, examples of model uncertainty, training data, prediction data, and validation data associated with this effort.
Habitat modeling offers an approach to understanding some management problems of desert tortoises (Gopherus agassizii) and to focusing new research efforts. Modeling can provide (1) a method to organize existing information, (2) a means to identify whether physical habitat or some factor outside the scope of the habitat model is limiting populations, (3) a method to integrate habitat into resource development planning, and (4) a mechanism for focusing research on missing species-habitat information. Published in Herpetologica, volume 42, issue 1, on pages 134 - 138, in 1986.


    map background search result map search result map Predicted Terrestrial Vertebrate Distributions, Wyoming Gap Analysis, 1994 Gap Analysis Program (GAP)-Species Distribution-Sage-Grouse Range Riparian Overstory Model and Component Layers BLM REA MAR 2012 Black Tailed Prairie Dog Distribution Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island Assessing habitat change and migration of barrier islands Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018–2019 Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018–2019 Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island Assessing habitat change and migration of barrier islands Riparian Overstory Model and Component Layers BLM REA MAR 2012 Black Tailed Prairie Dog Distribution Gap Analysis Program (GAP)-Species Distribution-Sage-Grouse Range Predicted Terrestrial Vertebrate Distributions, Wyoming Gap Analysis, 1994