Abstract

Earth’s forests face grave challenges in the Anthropocene, including hotter droughts increasingly associated with widespread forest die-off events. But despite the vital importance of forests to global ecosystem services, their fates in a warming world remain highly uncertain. Lacking is quantitative determination of commonality in climate anomalies associated with pulses of tree mortality—from published, field-documented mortality events—required for understanding the role of extreme climate events in overall global tree die-off patterns. Here we established a geo-referenced global database documenting climate-induced mortality events spanning all tree-supporting biomes and continents, from 154 peer-reviewed studies since 1970. Our analysis quantifies a global “hotter-drought fingerprint” from these tree-mortality sites—effectively a hotter and drier climate signal for tree mortality—across 675 locations encompassing 1,303 plots. Frequency of these observed mortality-year climate conditions strongly increases nonlinearly under projected warming. Our database also provides initial footing for further community-developed, quantitative, ground-based monitoring of global tree mortality.

Tree mortality is increasing due to droughts and other climate change-related stressors, but isolating climate signals for tree mortality is challenging. Here, the authors assemble a geo-referenced global database that quantifies how drought and hotter climate drive tree mortality events.

Details

Title
Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests
Author
Hammond, William M 1   VIAFID ORCID Logo  ; Park, Williams A 2   VIAFID ORCID Logo  ; Abatzoglou, John T 3   VIAFID ORCID Logo  ; Adams, Henry D 4 ; Klein, Tamir 5   VIAFID ORCID Logo  ; López Rosana 6   VIAFID ORCID Logo  ; Sáenz-Romero, Cuauhtémoc 7   VIAFID ORCID Logo  ; Hartmann Henrik 8   VIAFID ORCID Logo  ; Breshears, David D 9 ; Allen, Craig D 10   VIAFID ORCID Logo 

 University of Florida, Agronomy Department, Gainesville, USA (GRID:grid.15276.37) (ISNI:0000 0004 1936 8091) 
 University of California, Los Angeles, Department of Geography, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 University of California, Management of Complex Systems, Merced, USA (GRID:grid.266096.d) (ISNI:0000 0001 0049 1282) 
 Washington State University, School of the Environment, Pullman, USA (GRID:grid.30064.31) (ISNI:0000 0001 2157 6568) 
 Weizmann Institute of Science, Department of Plant and Environmental Sciences, Rehovot, Israel (GRID:grid.13992.30) (ISNI:0000 0004 0604 7563) 
 Universidad Politécnica de Madrid, Sistemas y Recursos Naturales, Madrid, Spain (GRID:grid.5690.a) (ISNI:0000 0001 2151 2978) 
 Universidad Michoacana de San Nicolás de Hidalgo, Instituto de Investigaciones sobre los Recursos Naturales, Morelia, Mexico (GRID:grid.412205.0) (ISNI:0000 0000 8796 243X) 
 Max Planck Institute for Biogeochemistry, Department of Biogeochemical Processes, Jena, Germany (GRID:grid.419500.9) (ISNI:0000 0004 0491 7318) 
 University of Arizona, School of Natural Resources and the Environment, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X) 
10  University of New Mexico, Department of Geography and Environmental Studies, Albuquerque, USA (GRID:grid.266832.b) (ISNI:0000 0001 2188 8502) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2647050026
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.