This Project Grant award is provided by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program. The $396,599 award to Indiana University will support a collaborative research project to develop innovative approaches for partitioning ecosystem carbon and water fluxes using solar-induced chlorophyll fluorescence (SIF) data. The key objectives of the project are to: 1) Develop a mechanistic approach to jointly partition ecosystem evapotranspiration (ET) and net...
This $398,984 Project Grant award, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), supports research to quantify the biophysical, physiological, and phenological impacts of increasing carbon dioxide (CO2) levels on vegetation and their effects on future climate change. The research utilizes the Community Earth System Model to examine the direct impacts of CO2 fertilization and stomatal closure, as well as the indirect effects of a longer growing season, on...
This Project Grant award, totaling $253,338, is funded by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) and supports collaborative research to advance the monitoring and understanding of forest carbon dynamics. The project aims to develop new artificial intelligence (AI) capabilities to bridge research gaps and significantly enhance the monitoring of forest carbon through integrated sensing, modeling, and AI. Specifically, the research will focus on three key areas:...
This $100,000 Project Grant award, funded by the National Science Foundation (NSF) Division of Environmental Biology under the Biological Sciences CFDA program, will support research to improve the representation of plants in ecosystem models. The key products and services to be delivered under this 3-year award include: Investigating methods to estimate plant traits using evolutionary histories to improve the parameterization of vegetation hydraulic traits in hydrologic and ecosystem models....
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $398,525 will fund research to uncover the response of evaporation and transpiration to changes in hydrometeorology across the United States. The researchers will use water flux measurements, satellite data, and weather models to develop machine learning models that predict how water re-enters the atmosphere through transpiration, soil evaporation, and evaporation from plant canopies at a 3 km...
This NSF Project Grant award, funded through the Integrative Activities (CFDA 47.083) program, supports research to enhance the accuracy of water budget simulations across the continental United States (CONUS) by incorporating vegetation's uptake of rock moisture into the Community Land Model (CLM5). The $300,000 award, with a performance period from February 1, 2025 to January 31, 2027, will enable the Principal Investigator (PI) to establish a mentorship relationship with a prominent...
This Project Grant award, funded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074), aims to improve understanding of how forest structure and function influence "ecological climate" - the climate experienced by organisms within forest canopies. The $424,492 project, running from August 2024 to July 2028, will integrate data from the National Ecological Observatory Network (NEON) into advanced forest canopy models to evaluate how forest diversity...
This $118,061 Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will fund a collaborative research project to characterize the spatial and temporal patterns of plant litter in dryland ecosystems. The project will leverage high-resolution airborne imaging spectroscopy and LiDAR data collected over multiple years at the Santa Rita Experimental Site to investigate how rainfall variability impacts the production and decomposition of plant...
This Project Grant award from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) provides $126,270 to the University of Pittsburgh to develop new artificial intelligence (AI) capabilities that will advance the monitoring and understanding of forest carbon dynamics in the Earth system. The 3-year project aims to: Create cross-platform and cross-region learning frameworks to enable fine-scale carbon dynamics monitoring at large geographic scales. Develop high-fidelity fast...
This Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) aims to develop a new continental-scale data tool that integrates a variety of ground-based, remote sensing, and modeling data to better understand the variability and predictability of the North American terrestrial carbon cycle. The $929,221 award to Trustees of Boston University, with a project period of August 1, 2024 to July 31, 2028, will support the generation and analysis of...