Filters: Tags: Reptiles (X)
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
This data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
Observations (reduced to detected/not detected) of 45 vertebrate species (seven mammals, seven amphibians, and 31 reptiles) across Southern California pitfall sampling projects conducted between 1995 through 2015. Habitat patch locations of every pitfall sampling project presented in a shapefile. Habitat patches were measured based on the size when pitfall sampling began within each. Sampling projects within the same geographic area may have different sized patches based on date of project sampling and if patch erosion occurred. A matrix of whether each species was expected within each habitat patch's species pool based on range maps and published records is also included. These data support the following publication:...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Los Angeles County,
Orange County,
Riverside County,
San Bernardino County,
San Diego County,
Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species’ ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic drift in local populations and provides important information for conservation management and recovery strategies. Here, we used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the population structure, genetic diversity and abundance of seven focal sites of the endangered...
A study comparing reintroduction scenarios for the San Francisco gartersnake (Thamnophis sirtalis tetrataenia), an endangered subspecies native to San Mateo County and Santa Cruz County in northern California. Models for snake survival, growth, fecundity, and reproductive status were used to construct a demographic population model. Data are posterior distributions for demographic parameters from Markov Chain Monte Carlo sampling in hierarchical Bayesian models. These data support the following publication: Rose, J.P., Kim, R., Schoening, E.J., Lien, P.C., and Halstead, B.J., 2023. Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic...
Categories: Data;
Tags: California,
San Mateo County,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota,
Our proposal addresses Funding Category Ill by evaluating natural resource management practices and adaptation opportunities. More specifically, our project addresses Science Need #6 to improve monitoring and inventory of watersheds and ecosystems (including invasive species). Our proposed study will occur within the Southern Rockies Landscape Conservation Cooperative (LCC) (upper Virgin River, UT) and the Desert LCC (lower Virgin River, AZ and NVL and therefore will be submitting to both cooperatives. Invasive saltcedar (Tamarix spp.) is the third most abundant tree in Southwestern riparian systems (Friedman et al. 2005). Resource managers must often balance the management goals of protecting wildlife species and...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
Introduction: Tamarisk (Tamarix spp., also saltcedar) is a non-native tree introduced to the United States during the 19th century as an ornamental species and solution to erosion in the American West (Robinson 1965). Tamarisk can form dense monotypic stands, which have been linked to a decline in richness and diversity of native plants (Engel-Wilson & Ohmart 1978; Lovich et al. 1994) and wildlife (Anderson et al. 1977; Durst et al. 2008) in riparian areas. As a result, natural resource managers have invested millions of dollars to control tamarisk (Shafroth & Briggs 2008). Few studies have conducted community-level analyses to document the impact of one of these methods, the introduction of a native enemy or predator,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
This dataset contains the results from 80 visual encounter surveys at two wetlands in Palmetto Island State Park, Vermillion Parish, Louisiana from August 2015 to April 2019. These surveys mainly targeted snakes but small turtles and anoles were also opportunistically captured. Captured animals were swabbed to determine the prevalence of Ophidiomyces ophiodiicola, the causative agent of Snake Fungal Disease. Physical measurements were taken on all captured individuals. This dataset also includes environmental data such as temperature, water level, and humidity at the study site.
This map was created to help assess impacts on nonindigenous aquatic species distributions due to flooding associated with Hurricane Maria. Storm surge and flood events can assist expansion and distribution of nonindigenous aquatic species through the connection of adjacent watersheds, backflow of water upstream of impoundments, increased downstream flow, and creation of freshwater bridges along coastal regions. This map will help natural resource managers determine potential new locations for individual species, or to develop a watch list of potential new species within a watershed. These data include a subset of data from the Nonindigenous Aquatic Species Database, that fall within the general area of the 2017...
The size and sex of each of the Burmese pythons swabbed in this study for the SFD-causing (snake fungal disease) Ophidiomyces ophiodiicola pathogen is given along with the real time PCR swab result.
Categories: Data;
Tags: Ecology,
Florida,
Genetics,
Southern Florida,
USGS Science Data Catalog (SDC),
These data depict reptile species richness within the range of the Greater Sage-grouse. Species boundaries were defined as the total extent of a species geographic limits. This raster largely used species range data from "U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001", however in order for a more complete picture of species richness, additional sources were used for species missing from the Gap Analysis program.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Class Chelonia,
Class Reptilia,
Class Testudines,
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
This data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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