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).

Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that generalizes species-specific climate change impacts to broader groups (e.g., ensembles) could theoretically help overcome this challenge and streamline climate-smart conservation planning. We assessed the viability of this approach using four specialist amphibians (Ascaphus montanus, Dicamptodon copei, Plethodon idahoensis, and Plethodon vandykei), which we expected would have similar climate-related trajectories given their shared dependence on a narrow range of groundwater-driven habitats. Using boosted regression trees, we constructed species distribution models (SDMs) for each species and (if appropriate) major intraspecific lineage, then projected changes in environmental suitability under two climate change scenarios (SSP370 and SSP585) and timeframes (mid-century and late-century). Contrary to our expectation, future suitability projections varied widely among species, with small-to-moderate projected gains in suitability for A. montanus, relatively small changes with ambiguous directionality for D. copei, large gains in multiple regions for P. idahoensis, and major losses-in-place for P. vandykei. In addition, lineage-specific SDMs that assumed different niches for coastal and Cascades P. vandykei populations projected climate vulnerability for only the latter, highlighting a need for better genetic and ecological data. Given our collective findings, attempts to generalize climate change projections for purported “indicator species” to larger groups can be misleading, even within narrowly-defined and highly specialized ensembles. Moreover, we found a strong link between recent historical SDM outputs and species-tailored variables (e.g., seep-related variables), but many of these variables lacked future projections under climate change and were thus not directly usable to forecast climate change responses. Lastly, our findings also highlight research and conservation needs for our study species under climate change, such as identifying taxonomic scales of niche variation and protecting in-situ climatic refugia.

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Amphibian decline is a problem of global importance, with over 40% of species considered at risk. This phenomenon is not limited to the tropics or to other countries. Amphibian species in the U.S. are also declining, contributing to the larger, global phenomenon. For example, in the State of Wyoming, the Wyoming toad has been extirpated in the wild and the boreal toad is a species of special concern. Understanding biotic and abiotic factors that influence amphibian persistence is critical for amphibian conservation. This work in northern Wyoming has focused on demography, habitat alteration and creation, and disease in the context of multiple amphibian populations. One of the foci has been to identify the capacity for mitigation wetlands (those created to offset losses due to, for example, road construction) to serve as habitat for amphibians. Four species of amphibians native to Wyoming, including the boreal toad, reside in this region. Our previous research indicates that the toad population at Blackrock is declining at 5-6% per year and that disease due to the amphibian chytrid fungus is contributing to this decline. Our demographic work at this site began in 2003, focusing solely on the boreal toad. Additional funding in 2012 allowed us to increase the scope of the project and assess chorus frog, salamander and Columbia spotted frog populations, invertebrate assemblages, work to quantify the use of mitigation sites by amphibians, and to expand efforts to include sites on Togwotee Pass a short distance away from Blackrock. Because most previous studies of amphibian use of created wetlands have taken place in the eastern United States, this project, incorporating demographic and disease dynamics as well as community composition and mitigation effects of created wetlands, is unique and provides a case study in the Intermountain West. By 2015, all four native amphibian species were observed at one of the created wetlands, and all of them, including the boreal toad, were breeding (evidenced by breeding behavior, eggs or tadpoles).

Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that generalizes species-specific climate change impacts to broader groups (e.g., ensembles) could theoretically help overcome this challenge and streamline climate-smart conservation planning. We assessed the viability of this approach using four specialist amphibians (Ascaphus montanus, Dicamptodon copei, Plethodon idahoensis, and Plethodon vandykei), which we expected would have similar climate-related trajectories given their shared dependence on a narrow range of groundwater-driven habitats. Using boosted regression trees, we constructed species distribution models (SDMs) for each species and (if appropriate) major intraspecific lineage, then projected changes in environmental suitability under two climate change scenarios (SSP370 and SSP585) and timeframes (mid-century and late-century). Contrary to our expectation, future suitability projections varied widely among species, with small-to-moderate projected gains in suitability for A. montanus, relatively small changes with ambiguous directionality for D. copei, large gains in multiple regions for P. idahoensis, and major losses-in-place for P. vandykei. In addition, lineage-specific SDMs that assumed different niches for coastal and Cascades P. vandykei populations projected climate vulnerability for only the latter, highlighting a need for better genetic and ecological data. Given our collective findings, attempts to generalize climate change projections for purported “indicator species” to larger groups can be misleading, even within narrowly-defined and highly specialized ensembles. Moreover, we found a strong link between recent historical SDM outputs and species-tailored variables (e.g., seep-related variables), but many of these variables lacked future projections under climate change and were thus not directly usable to forecast climate change responses. Lastly, our findings also highlight research and conservation needs for our study species under climate change, such as identifying taxonomic scales of niche variation and protecting in-situ climatic refugia.

Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that generalizes species-specific climate change impacts to broader groups (e.g., ensembles) could theoretically help overcome this challenge and streamline climate-smart conservation planning. We assessed the viability of this approach using four specialist amphibians (Ascaphus montanus, Dicamptodon copei, Plethodon idahoensis, and Plethodon vandykei), which we expected would have similar climate-related trajectories given their shared dependence on a narrow range of groundwater-driven habitats. Using boosted regression trees, we constructed species distribution models (SDMs) for each species and (if appropriate) major intraspecific lineage, then projected changes in environmental suitability under two climate change scenarios (SSP370 and SSP585) and timeframes (mid-century and late-century). Contrary to our expectation, future suitability projections varied widely among species, with small-to-moderate projected gains in suitability for A. montanus, relatively small changes with ambiguous directionality for D. copei, large gains in multiple regions for P. idahoensis, and major losses-in-place for P. vandykei. In addition, lineage-specific SDMs that assumed different niches for coastal and Cascades P. vandykei populations projected climate vulnerability for only the latter, highlighting a need for better genetic and ecological data. Given our collective findings, attempts to generalize climate change projections for purported “indicator species” to larger groups can be misleading, even within narrowly-defined and highly specialized ensembles. Moreover, we found a strong link between recent historical SDM outputs and species-tailored variables (e.g., seep-related variables), but many of these variables lacked future projections under climate change and were thus not directly usable to forecast climate change responses. Lastly, our findings also highlight research and conservation needs for our study species under climate change, such as identifying taxonomic scales of niche variation and protecting in-situ climatic refugia.

These data consist of three primary types of products for managers of boreal toads in the Southern Rocky Mountains: 1) Re-constructed hydroperiods for historical breeding sites from LANDSAT imagery from 1985-2022 (SMA_hydroperiod_reconstruction.csv). This dataset was developed using a Spectral Mixture Analysis (SMA). 2) Current (1985-2022) and future (2040-2069) predictions of probability of drying and surface area estimates for historical breeding sites (Current_hydrology_predictions.csv, Future_hydrology_predictions.csv). These datasets were developed using a Bayesian hurdle model with the surface water area estimate from the SMA as the response variable. 3) Current (1985-2020) and future (1955-1969) predictions of occupancy for boreal toads (Anaxyrus boreas boreas) and the amphibian chytrid fungus (Batrachochytrium dendrobatidis) at three spatial scales; breeding site (Current_future_occ_prob_ind_site.csv), mountain range (Current_future_occ_prob_mtn_range.csv) and Southern Rocky Mountain Region (Current_future_occ_prob_SRM.csv). These datasets were developed from a Bayesian dynamic state-space community model.

The data include concentrations of current use pesticides in tissues of larval wood frog (Lithobates sylvaticus) and spotted salamander (Ambystoma maculatum) and the presence of ranavirus in wood frogs and spotted salamanders from three northeastern National Wildlife Refuges sampled in 2013 and 2014. The data also include estrogenicity, protein phosphatase 2A inhibition and a suite of 15 major and minor elements in sediment screened using portable X-Ray Fluorescence. The data include sediment and tissue samples collected from 16 wetlands at the Patuxent Research Refuge (PRR) in central Maryland, USA, 15 wetlands at the Assabet River and Oxbow National Wildlife Refuges (EMASS) in eastern Massachusetts, USA, and nine wetlands at the Chesapeake and Ohio Canal National Historic Park (CHOH) near the border of Washington DC and Maryland, USA.

This dataset contains toxicity endpoint and mode-of-action information used in an analysis of comparative toxicity and surrogate data approaches to ecological risk assessment of amphibians. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.