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Climate Change Risks to Global Forest Health: Emergence of Unexpected Events of Elevated Tree Mortality Worldwide

Henrik HartmannMax Planck Institute for Biogeochemistry, Department of Biogeochemical Processes, Jena, Germany;Ana BastosMax Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, GermanyAdrian J. DasUS Geological Survey, Western Ecological Research Center, Three Rivers, Sequoia and Kings Canyon Field Station, California, USAAdriane Esquivel‐MuelbertBirmingham Institute of Forest Research, University of Birmingham, Edgbaston, Birmingham, United KingdomWilliam M. HammondAgronomy Department, University of Florida, Gainesville, Florida, USAJordi Martínez‐VilaltaCREAF, Bellaterra (Cerdanyola del Vallès), Catalonia, SpainNate G. McDowellAtmospheric Sciences and Global Change Division, Pacific Northwest National Lab, Richland, Washington, USAJennifer S. PowersDepartments of Ecology, Evolution and Behavior and Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, USAThomas A. M. PughBirmingham Institute of Forest Research, University of Birmingham, Edgbaston, Birmingham, United KingdomKatinka X. RuthrofDepartment of Biodiversity, Conservation and Attractions, Kensington, Western Australia, AustraliaCraig D. AllenDepartment of Geography and Environmental Studies, University of New Mexico, Albuquerque, New Mexico, USA
2022en
ABI

Аннотация

Recent observations of elevated tree mortality following climate extremes, like heat and drought, raise concerns about climate change risks to global forest health. We currently lack both sufficient data and understanding to identify whether these observations represent a global trend toward increasing tree mortality. Here, we document events of sudden and unexpected elevated tree mortality following heat and drought events in ecosystems that previously were considered tolerant or not at risk of exposure. These events underscore the fact that climate change may affect forests with unexpected force in the future. We use the events as examples to highlight current difficulties and challenges for realistically predicting such tree mortality events and the uncertainties about future forest condition. Advances in remote sensing technology and greater availably of high-resolution data, from both field assessments and satellites, are needed to improve both understanding and prediction of forest responses to future climate change.

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