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Golden hour looking out on the UConn Forest. Photo Credit: Sean Flynn/UConn Photo |
Earth systems models are an important tool for studying complex processes occurring around the planet, such as those in and between the atmosphere and biosphere, and they help researchers and policymakers better understand phenomena like climate change. Incorporating more data into these simulations can improve modeling accuracy; however, sometimes, this requires the arduous task of gathering millions of data points.
Researchers, including UConn Department of Natural Resources and the Environment Assistant Professor James Knighton, Pablo Sanchez-Martinez from the University of Edinburgh, and Leander Anderegg from the University of California Santa Barbara, have developed a method to bypass the need for gathering data for over 55,000 tree species to better account for how plants influence the flow of water around the planet. Their findings are published in Nature Scientific Data.
Plants play essential roles in Earth’s processes, from capturing carbon and making oxygen available for other life forms like humans. Plants are also responsible for the movement of water, says Knighton, where an estimated 60% of all rain is returned to the atmosphere through transpiration. This huge global-scale movement of water through plants is complex and currently represented by Earth system models (ESMs) in a simplified way says Knighton, where all plants in a region may be considered as a single entity (i.e., a plant functional type),