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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling only in Gaspe (core area) plus trapping scenario (B2; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and annual...
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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Acanthomintha ilicifolia Habitat Suitability in 2050 (RF_PCM_2050): predictive modelling using Random Forest (RF) with PCM climate model (from the Department of Energy’s Parallel Climate Model). Higher values indicate higher habitat suitability. Note that map represents a potential scenario only, based on underlying assumptions regarding future conditions.
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling only in Gaspe (core area) plus 36 square kilometer territory size (compared to 90 square kilometer territory) scenario (B136; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against...
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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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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the no population cycling plus trapping plus 36 square kilometer territory size (compared to 90 square kilometer territory) scenario (A236; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion...
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling only in Gaspe (core area) scenario (B1; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and annual snowfall. Demographic...
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This dataset shows simulated fisher territory occupancy for a study area the southern Sierra Nevada range from the Extreme Fire Regime plus No Treatment scenario (Scheller and others 2008). Simulations were conducted using the spatially dynamic population model PATCH coupled to the forest succession and disturbance model LANDIS-II. Fisher occupancy is represented as the average number of females per 860 hectare hexagon. Habitat quality was derived from LANDIS-II simulated vegetation dynamics and was used to drive spatially-explicit demographic dynamics in PATCH> The baseline fire regime is derived from the previous 20 years of fire data. The extreme fire regime is a purely hypothetical fire regime intended to produce...
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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.
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling only in Gaspe (core area) plus climate change scenario (FB1; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and...
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Acanthomintha ilicifolia Habitat Suitability in 2050: predictive modelling using Maxent (Max) with PCM climate model (from the Department of Energy’s Parallel Climate Model). Higher values indicate higher habitat suitability. Note that map represents a potential scenario only, based on underlying assumptions regarding future conditions.
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Acanthomintha ilicifolia Habitat Suitability in 2050 (Max_GFDL_2050): predictive modelling using Maxent (Max) with GFDL climate model (from the National Oceanic and Atmospheric Association’s Geophysical Fluid Dynamic Laboratory’s CM.2 model). Higher values indicate higher habitat suitability. Note that map represents a potential scenario only, based on underlying assumptions regarding future conditions.
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This dataset shows simulated fisher territory occupancy for a study area the southern Sierra Nevada range from the Baseline Fire Regime plus No Treatment scenario (Scheller and others 2008). Simulations were conducted using the spatially dynamic population model PATCH coupled to the forest succession and disturbance model LANDIS-II. Fisher occupancy is represented as the average number of females per 860 hectare hexagon. Habitat quality was derived from LANDIS-II simulated vegetation dynamics and was used to drive spatially-explicit demographic dynamics in PATCH> The baseline fire regime is derived from the previous 20 years of fire data. The extreme fire regime is a purely hypothetical fire regime intended to produce...
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Acanthomintha ilicifolia Habitat Suitability in 2050 (RF_GFDL_2050): predictive modelling using Random Forest (RF) with GFDL climate model (from the National Oceanic and Atmospheric Association’s Geophysical Fluid Dynamic Laboratory’s CM.2 model). Higher values indicate higher habitat suitability. Note that map represents a potential scenario only, based on underlying assumptions regarding future conditions.
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling only in Gaspe (core area) plus trapping plus climate change scenario (FB2; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest...
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling plus 36 square kilometer territory size (compared to 90 square kilometer territory) scenario (B1; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape...
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.
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This dataset shows simulated fisher territory occupancy for a study area the southern Sierra Nevada range from the Baseline Fire Regime plus Moderate Intensity Treatment over 8% of the treatable area scenario (Scheller and others 2008). Simulations were conducted using the spatially dynamic population model PATCH coupled to the forest succession and disturbance model LANDIS-II. Fisher occupancy is represented as the average number of females per 860 hectare hexagon. Habitat quality was derived from LANDIS-II simulated vegetation dynamics and was used to drive spatially-explicit demographic dynamics in PATCH. The baseline fire regime is derived from the previous 20 years of fire data. The extreme fire regime is a...
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This dataset shows simulated fisher territory occupancy for a study area the southern Sierra Nevada range from the Extreme Fire Regime plus Moderate Intensity Treatment over 8% of the treatable area scenario (Scheller and others 2008). Simulations were conducted using the spatially dynamic population model PATCH coupled to the forest succession and disturbance model LANDIS-II. Fisher occupancy is represented as the average number of females per 860 hectare hexagon. Habitat quality was derived from LANDIS-II simulated vegetation dynamics and was used to drive spatially-explicit demographic dynamics in PATCH. The baseline fire regime is derived from the previous 20 years of fire data. The extreme fire regime is a...


    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 Max_GFDL_2050 RF_PCM_2050 Max_PCM_2050 RF_GFDL_2050 Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Trapping + Climate Change Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Climate Change Scenario Predicted Lynx Habitat in the Northern Appalachians: Population Cycling + Smaller Territory Size Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Smaller Territory Size Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Trapping Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe Scenario Predicted Lynx Habitat in the Northern Appalachians: No Cycling + Trapping + Smaller Territory Size Scenario Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Baseline Fire Regime + No Treatment Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Baseline Fire Regime + Moderate Treatment Intensity over 8% Area Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Extreme Fire Regime + No Treatment Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Extreme Fire Regime + Moderate Treatment Intensity over 8% Area Max_GFDL_2050 RF_PCM_2050 Max_PCM_2050 RF_GFDL_2050 Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Extreme Fire Regime + Moderate Treatment Intensity over 8% Area Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Baseline Fire Regime + No Treatment Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Extreme Fire Regime + No Treatment Sierra Nevada (California, USA) Simulated Fisher Territory Occupancy - Baseline Fire Regime + Moderate Treatment Intensity over 8% Area Gap Analysis Program (GAP)-Species Distribution-Sage-Grouse Range Predicted Terrestrial Vertebrate Distributions, Wyoming Gap Analysis, 1994 Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Trapping + Climate Change Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Climate Change Scenario Predicted Lynx Habitat in the Northern Appalachians: Population Cycling + Smaller Territory Size Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Smaller Territory Size Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Trapping Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe Scenario Predicted Lynx Habitat in the Northern Appalachians: No Cycling + Trapping + Smaller Territory Size Scenario