Project Grant 201433610220981

This is a 2-year, $369,330 Cooperative Agreement awarded by the U.S. Geological Survey (USGS) under the National and Regional Climate Adaptation Science Centers (CFDA 15.820) program. The project aims to develop a geospatial land change model that can accurately simulate future urbanization patterns in Puerto Rico and the U.S. Virgin Islands, despite population decline driven by economic and climate stressors in these regions. The key activities and deliverables under this award include: (1)...

Rutgers University will conduct a spatially explicit population viability analysis for the piping plover within the New York-New Jersey recovery unit under a $118,066 cooperative agreement from the U.S. Fish and Wildlife Service. The analysis aims to determine the population size, demographic rates, habitat amounts and configurations necessary for viability and recovery of the subpopulation, including under scenarios of coastal storm impacts and sea level rise. Results will provide targets for...

This $916,173 Project Grant awarded by the National Science Foundation (NSF) Division of Environmental Biology (CFDA 47.074 - Biological Sciences) aims to develop a user-friendly conservation tool to help land managers prioritize actions to restore declining grassland bird populations across North America. The project will collect data on migratory patterns, genetic health, and reproductive output of three grassland bird species to build a genomically-informed, full annual cycle, integrated...

This Project Grant from the National Science Foundation's Division of Biological Infrastructure, under the Biological Sciences federal grant program (CFDA 47.074), provides $827,019 to the University of Massachusetts to develop models and algorithms for inferring bird population movements from citizen science data. Leveraging billions of bird observations from the eBird citizen science project, the awardee will create computational tools to simulate migratory routes and produce movement...

This $139,114 project grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) will support the development of computational models to predict changes in biodiversity patterns over time at the University of Kansas Center for Research, Inc. Over the one-year period from May 2023 to April 2024, the awardee will synthesize decades of species distribution data and research to generate dynamic models incorporating factors like physiology and species interactions. A...

This National Science Foundation project grant award of $574,372 provides funding from September 1, 2022 to August 31, 2024 to develop and test a new acoustic monitoring method for remotely estimating animal population sizes under the Biological Sciences federal grant program (CFDA 47.074). The University of New Hampshire will use sound to track population changes over time for Adélie penguins and gray bats. The goals are to reduce hands-on effort for counting animals, increase the frequency...

Federal Cooperative Agreement Summary The U.S. Geological Survey (USGS) Research and Data Collection program (CFDA 15.808) awarded a $292,350 Cooperative Agreement to the University of Hawaii at Hilo, effective September 1, 2025 through August 31, 2030, to develop a comprehensive modeling framework for identifying optimal translocation sites for Hawaii's threatened and endangered plant species. The project will produce spatial distribution models and climate sensitivity models to determine...

This Cooperative Agreement award from the U.S. Fish and Wildlife Service (USFWS) under the Endangered Species Recovery Implementation program (CFDA 15.657) provides $287,596.98 to the University of Massachusetts to develop a population viability analysis for the Northwest Atlantic roseate tern population. The objectives are to assess the risk faced by this species from offshore wind energy development, estimate apparent survival rates, create an integrated population model, and conduct a...

This two-year, $276,000 National Science Foundation project grant funds statistical modeling and simulation research under the Biological Sciences program (CFDA 47.074). The grantee will develop a unified theoretical, empirical and computational framework to predict how ecological and evolutionary dynamics propagate in response to perturbations across scales over time. Using agent-based simulations of random and experimentally perturbed eco-evolutionary systems, the grantee will characterize...

This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund a $499,999 research project at Arizona State University (ASU) to explore the dynamics of knowledge development and utilization in the field of biodiversity conservation. The project will compare the conservation knowledge referenced in Endangered Species Act recovery plans and delisting determinations to determine whether the "best available...