This dataset contains data on trapping methodology, turtle captures, and environmental variables from a trapping effort targeting alligator snapping turtles (Macrochelys temminckii) in south-central Louisiana in 2019.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

This dataset contains data from an ongoing trapping effort beginning in 2019 targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin of south-central Louisiana.

This dataset contains data from an ongoing trapping effort beginning in 2019 targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin of south-central Louisiana.

Timeseries data from 'ALLIGATOR CREEK NEAR GARFIELD BIGHT, FL (USGS 251032080473400)' (gov_usgs_nwis_251032080473400)

This dataset contains initial data from head-started alligator snapping turtles released by Louisiana Department of Wildlife and Fisheries (LDWF) from November 2015 to October 2016. In addition, it contains data from a five-day trapping effort at each of seven release sites by the United States Geological Survey (USGS) from late June to early October 2018. Trapping was completed using hoop nets of three sizes. We recaptured eight head-started alligator snapping turtles as well as four individuals native to the creek.

This dataset comprises whole blood mercury concentrations, sex, predicted age, snout-vent length, and body mass index in American alligators (Alligator mississippiensis) captured at Yawkey Wildlife Center, South Carolina, from 2010 to 2017. Funding for this study was provided by the U.S. Geological Survey (Cooperative Agreement nos. G12AC20329, G15AC00264) and the South Carolina Department of Natural Resources (Grant nos. 2009094, 20100899). Alligators are an effective sentinel species for Hg biomonitoring because they frequently occupy the top position within wetland food webs, are long-lived, and appear to exhibit long-term site fidelity. This suite of traits makes them amenable to long-term longitudinal sampling that is reflective of Hg in the surrounding environment. We investigated total mercury (THg) patterns in whole blood of adult alligators from a population in South Carolina, USA. Our objectives were to investigate demographic, individual, and temporal variation in THg bioaccumulation patterns, including previously-unexplored non-linear effects. Using recently developed growth models and auxiliary predicted age at first capture information, we were able to differentiated between age and size-related variation in mercury bioaccumulation, which was previously confounded due to long-held assumptions of indeterminate growth patterns.

This dataset comprises whole blood mercury concentrations, sex, predicted age, snout-vent length, and body mass index in American alligators (Alligator mississippiensis) captured at Yawkey Wildlife Center, South Carolina, from 2010 to 2017. Funding for this study was provided by the U.S. Geological Survey (Cooperative Agreement nos. G12AC20329, G15AC00264) and the South Carolina Department of Natural Resources (Grant nos. 2009094, 20100899). Alligators are an effective sentinel species for Hg biomonitoring because they frequently occupy the top position within wetland food webs, are long-lived, and appear to exhibit long-term site fidelity. This suite of traits makes them amenable to long-term longitudinal sampling that is reflective of Hg in the surrounding environment. We investigated total mercury (THg) patterns in whole blood of adult alligators from a population in South Carolina, USA. Our objectives were to investigate demographic, individual, and temporal variation in THg bioaccumulation patterns, including previously-unexplored non-linear effects. Using recently developed growth models and auxiliary predicted age at first capture information, we were able to differentiated between age and size-related variation in mercury bioaccumulation, which was previously confounded due to long-held assumptions of indeterminate growth patterns.

Quantitative waterbird surveys over seasonal wetlands of the Alligator Rivers Region (ARR) of the NT, provided by the Supervising Scientist Division (SSD) of the Commonwealth Department of the Environment, Water, Heritage and the Arts (DEWHA). Ground and aerial surveys at 17 billabongs within the Magela Creek catchment. Environmental information includes structural classification of each billabong surveyed

The three datasets were used in a model estimating the current and future persistence of 222 populations of southern hognose snakes, as estimated as part of the USFWS Species Status Assessment. Because these datasets contain information about sensitive species at risk of overcollection and harassment, they do not contain any spatial identifying information. The "HESIM_locs" dataset contains a list of southern hognose snake occurrence records with associated year of observation and population ID. The "SEsnakes_locs" dataset contains a list of non-target snake species occurrence records with associated year of observation and population ID. The "HESIM_pops_all" dataset contains a list of southern hognose snake populations with associated habitat metrics of current and future conditions derived from publically available spatial datasets, a habitat suitability model by Crawford et al. 2019, and estimated persistence probability from the analysis. A full description of the methodology and results of the southern hognose snake status assessment is available in the publication: Crawford, B.A., Olds, M.J., Maerz, J.C., and Moore, C.T., 2019. Estimating population persistence for at-risk species using citizen science data. Biological Conservation. In review. The full Species Status Assessment: U.S. Fish and Wildlife Service, 2019. Species status assessment for the southern hognose snake (Heterodon simus). Version 1.1, April 2019. Atlanta, GA. Available at https://ecos.fws.gov/ServCat/DownloadFile/168148.