LCC-14: Assessing Priority Amphibian & Reptile Conservation Areas (PARCAs) and Vulnerability to Climate Change in the North Atlantic Landscape Conservation Cooperative

LCC-14: Assessing Priority Amphibian & Reptile Conservation Areas (PARCAs) and Vulnerability to Climate Change in the North Atlantic Landscape Conservation Cooperative

This project will generate spacially explicit data assessing the vulnerability of amphibian and reptile conservation areas to the effects of climate change. Amphibians and reptiles are experiencing severe habitat loss throughout North America; however, this threat to biodiversity can be mitigated by identifying and managing areas that serve a disproportionate role in sustaining herpetofauna. Identification of such areas must take into consideration the dynamic nature of habitat suitability. As climate rapidly changes it is possible that areas currently deemed suitable may no longer be so in the future. To address these needs, we are proposing to: 1) identify Priority Amphibian and Reptile Conservation Areas (PARCAs) – those discrete areas most vital to maintaining reptile and amphibian diversity, 2) propose regions of current and future climatic suitability for a number of priority reptiles and amphibians in the North Atlantic Landscape Conservation Cooperative, and 3) identify gaps in distributional data for these species that may prevent or inhibit the identification of species-level climatic suitability.

LCC-15: Identifying Important Migratory Landbird Stopover Sites in the Northeast

This project builds upon prior work by the University of Delaware and USGS, using weather surveillance data and field surveys to map and predict stopover areas for migratory landbirds. Specifically, the project will 1) calibrate NEXRAD weather surveillance radar data of bird stopover density by collecting ground survey data of bird identities and densities; 2) improve NEXRAD-based models of important stopover sites for the Northeast by incorporating two more years of radar data, a more sophisticated modeling method, and better explanatory variables; 3) validate the updated NEXRAD-based predictive statistical models for the Northeast using ground survey and (as available) NASA radar observations; and 4) assess habitat use of migrants in relation to food abundance, habitat and landscape features in the Mid-Atlantic Coastal Plain.