Project Grant 26DG11132762202

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...

The National Science Foundation Division of Environmental Biology awarded $400,000 to The University of Kentucky Research Foundation on June 1, 2026, under the Biological Sciences program (CFDA 47.074) to assess the historical forecast performance of population models used to manage threatened and endangered wildlife populations. The project will use long-term monitoring datasets collected by research scientists and state and federal agencies to evaluate how accurately population models...

This Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) provides $487,639 to the University of California, Berkeley to conduct long-term monitoring and research on plant community dynamics in the Colorado alpine biome. The project aims to assemble a unique long-term dataset on population and community changes in response to rapid environmental changes, such as climate change, to advance ecological theory and forecasting. Key activities...

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)...

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 $386,050 Cooperative Agreement awarded by the U.S. Fish and Wildlife Service (CFDA 15.664 - Fish and Wildlife Coordination and Assistance) to New Mexico State University (NMSU) supports a project to predict climate change-induced habitat shifts for big game species in New Mexico. The key objectives are to: Estimate resource selection and population density of elk, mule deer, oryx, and pronghorn in representative ecoregions of New Mexico by fitting animals with GPS collars and deploying...

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...

The U.S. Geological Survey (USGS) awarded a $397,671.10 Cooperative Agreement under the National and Regional Climate Adaptation Science Centers (NCASC) program to the University of Colorado for a project titled "Developing a Decision Support Tool for Prairie Dog and Cattle Coexistence under a Warming Climate". The project aims to update an existing predictive model and decision support tool to forecast the dynamics of prairie dog boom-bust cycles, expand the geographical scope to...

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 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...