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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
This project used species distribution modeling, population genetics, and geospatial analysis of historical vs. modern vertebrate populations to identify climate change refugia and population connectivity across the Sierra Nevada. It is hypothesized that climate change refugia will increase persistence and stability of populations and, as a result, maintain higher genetic diversity. This work helps managers assess the need to include connectivity and refugia in climate change adaptation strategies. Results help Sierra Nevada land managers allocate limited resources, aid future scenario assessment at landscape scales, and develop a performance measure for assessing resilience.
Categories: Data, Project; Tags: 2011, 2013, CA, California Landscape Conservation Cooperative, Conservation Design, All tags...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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These data were compiled to assess potential changes in the climatic suitability for 66 species (dominant and associate plant species) and forecast climate exposure for 29 major plant communities within major plant communities in the southwestern United States. An objective of our study was that species within plant communities have unique climate suitability signatures and forecast changes in climatic suitability will not be uniform within the species respective communities or among species within the community. The climate suitability spatial models were developed under a modern baseline (1960-90) and future climate scenario (2041-2060) using Maxent and WorldClim temperature and precipitation variables. Plant...
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This layer represents fundamentally suitable and unsuitable habitat for freshwater mussels in the Meramec Basin as modeled by these authors on May 17, 2017 based on spatial data ranging from 1990 to 2014. Identification of habitat characteristics associated with the presence of freshwater mussels is challenging but crucial for the conservation of this declining fauna. Most mussel species are found in multi-species assemblages suggesting that physical factors influence presence similarly across species. In lotic environments, geomorphic and hydraulic characteristics appear to be important factors for predicting mussel presence. We used maximum entropy (MaxEnt) modeling to evaluate hydrogeomorphic variables associated...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Habitat modeling is an important tool used to simulate the potential distribution of a species for a variety of basic and applied questions. The desert tortoise (Gopherus agassizii) is a federally listed threatened species in the Mojave Desert and parts of the Sonoran Desert of California, Nevada, Utah, and Arizona. Land managers in this region require reliable information about the potential distribution of desert tortoise habitat to plan conservation efforts, guide monitoring activities, monitor changes in the amount and quality of habitat available, minimize and mitigate disturbances, and ultimately to assess the status of the tortoise and its habitat toward recovery of the species. By applying information from...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
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This data release contains the spatial raster outputs from analyses of summer roost site habitat for each of 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). The included raster data represent the mean suitability for summer roosting habitat for each of the four species (expressed as a numerical value from 0 to 1), the prediction interval (difference between the 5th and 95th confidence intervals), as well as the environmental covariates used to model habitat. All raster data are produced at a spatial resolution of 250 m per pixel. Summer roost site suitability...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Most natural resource managers, planners and policy makers are now dependent upon spatially explicit environmental suitability and spatial allocation analyses to inform policy and management decisions. However, staff across agencies has been unable to stay current on understanding and applying these new data, tools and analyses. Currently, this information may be underutilized or used inappropriately, which could result in poor decisions. Two training curricula were developed – one for managers and one for GIS analysts – on current best practices for developing and using spatial information to support conservation decision making. The training materials are open-source and widely distributed to California LCC stakeholders.
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The four primary objectives of this project were to: (1) compile a dataset of fish occurrence records for the entirety of the Rio Grande drainage in the US and Mexico; (2) improve that dataset by reformatting dates, synonymizing species names to a modern taxonomy, georeferencing localities, and flagging geographic outliers; (3) for those species with sufficient data for modeling, create species distribution models (SDMs); (4) use the environmental conditions determined via those models to project the species distributions into the future under two climate scenarios. To accomplish those objectives, we compiled 495,101 fish occurrence records mined from 122 original sources into a single database. We then, on the...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alligator gar, American eel, Anguilla rostrata, Aquatic resource management, All tags...
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This data release contains the spatial raster outputs from analyses of summer roost site habitat for each of 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). The included raster data represent the mean suitability for summer roosting habitat for each of the four species (expressed as a numerical value from 0 to 1), the prediction interval (difference between the 5th and 95th confidence intervals), as well as the environmental covariates used to model habitat. All raster data are produced at a spatial resolution of 250 m per pixel. Summer roost site suitability...
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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...


map background search result map search result map Final Report: Data provision and projected impact of climate change on fish biodiversity within the Desert LCC Climatic suitability models and assessments for plant species and communities of the Southwestern US Reference period and projected environmental suitability scores Reference period and projected environmental suitability scores-Oaks BLM REA SOD 2010 Predicted Habitat of the Desert Tortoise (Gopherus agassizii) BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria fischeri BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Brachyramphus brevirostris BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria mollissima BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Falco peregrinus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Plectrophenax hyperboreus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Limosa lapponica BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Calidris canutus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Numenius tahitiensis BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Melanitta nigra BLM REA SNK 2010 Alaska Gap Analysis Project: Year Round Distribution Map for Ursus americanus Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States Summer Roost Site Habitat Suitability Rasters for Four North American Bat Species in the Eastern United States Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin BLM REA SOD 2010 Predicted Habitat of the Desert Tortoise (Gopherus agassizii) BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Calidris canutus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Numenius tahitiensis BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Falco peregrinus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Plectrophenax hyperboreus BLM REA SNK 2010 Alaska Gap Analysis Project: Year Round Distribution Map for Ursus americanus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria fischeri BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Brachyramphus brevirostris BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Somateria mollissima BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Limosa lapponica BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Melanitta nigra Climatic suitability models and assessments for plant species and communities of the Southwestern US Final Report: Data provision and projected impact of climate change on fish biodiversity within the Desert LCC Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States Summer Roost Site Habitat Suitability Rasters for Four North American Bat Species in the Eastern United States Reference period and projected environmental suitability scores Reference period and projected environmental suitability scores-Oaks