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Title: Drivers and mechanisms of tree mortality in moist tropical forests

Journal Article · · New Phytologist
DOI:https://doi.org/10.1111/nph.15027· OSTI ID:1506341
 [1];  [2];  [3];  [4];  [5];  [6]; ORCiD logo [7];  [8];  [9];  [10];  [11];  [12];  [13];  [14];  [15];  [15];  [16];  [6];  [15];  [17] more »;  [18];  [6];  [19];  [20];  [21];  [22];  [23];  [24];  [25];  [26];  [14]; ORCiD logo [6];  [16];  [27];  [28];  [15]; ORCiD logo [29] « less
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. US Geological Survey, Los Alamos NM (United States). Fort Collins Science Center, New Mexico Landscapes Field Station
  3. Smithsonian Tropical Research Inst., Washington, DC (United States). Center for Tropical Forest Science-Forest Global Earth Observatory; Smithsonian Conservation Biology Inst., National Zoological Park, Front Royal, VA (United States). Conservation Ecology Center
  4. Woods Hole Research Center, Falmouth, MA (United States); Inst. de Pesquisa Ambiental de Amazonia, Lago Norte, Brasilia (Brazil)
  5. Univ. of Leeds, Woodhouse Lane Leeds (United Kingdom). School of Geography,
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  7. Univ. of Texas Rio Grande Valley, Edinburg, TX (United States)
  8. Smithsonian Tropical Research Inst., Washington, DC (United States). Center for Tropical Forest Science-Forest Global Earth Observatory
  9. Northern Arizona Univ., Flagstaff, AZ (United States)
  10. Univ. Nacional de Columbia, Medellin (Columbia)
  11. Univ. of Lancaster, Lancaster (United Kingdom)
  12. National Center for Atmospheric Research, Boulder, CO (United States)
  13. Univ. of California, Berkeley, CA (United States)
  14. Univ. of Leeds, Leeds (United Kingdom)
  15. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  16. Max Plank Institute for Biogeochemistry, Jena (Germany)
  17. Forest Research Institute Malaysia, Selangor (Malaysia)
  18. USDA Jardin Botanico Sur, San Juan (Puerto Rico); Embrapa Agricultural Informatics, Brasilia (Brazil); Jet Propulsion Lab., Pasadena, CA (United States)
  19. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  20. The Univ. of Tokyo, Tokyo (Japan)
  21. Univ. of Oxford, Oxford (United Kingdom)
  22. Smithsonian Tropical Research Institute, Washington, D.C. (United States)
  23. Univ. of Barcelona, Barcelona (Spain)
  24. Australian National Univ., Canberra, ACT (Australia); Univ. of Edinburgh, Edinburgh (United Kingdom)
  25. Harvard Univ., Cambridge, MA (United States)
  26. Smithsonian Tropical Research Institute (Panama Republica de Panama)
  27. Univ. of Utah, Salt Lake City, UT (United States)
  28. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  29. Princeton Univ., NJ (United States). Dept. of Geosciences
+ Show Author Affiliations

Tree mortality rates appear to be increasing in moist tropical forests (MTFs) with significant carbon cycle consequences. We review the state of knowledge regarding MTF tree mortality, create a conceptual framework with testable hypotheses regarding the drivers, mechanisms, and interactions that may underlie increasing MTF mortality rates, and identify next steps for improved understanding and reduced prediction. Increasing mortality rates are associated with rising temperature and vapor pressure deficit, liana abundance, drought, wind events, fire, and possibly CO2 fertilization-induced increases in stand thinning or acceleration of trees reaching larger, more vulnerable heights. The majority of these mortality drivers may kill trees in part through carbon starvation and hydraulic failure. The relative importance of each driver is unknown. High species diversity may buffer MTFs against large-scale mortality events, but recent and expected trends in mortality drivers give reason for concern regarding increasing mortality within MTFs. Models of tropical tree mortality are advancing representation of hydraulics, carbon, and demography, but require more empirical knowledge regarding the most common drivers and their subsequent mechanisms. We outline critical datasets and model developments required to test hypotheses regarding the underlying causes of increasing MTF mortality rates, and improve prediction of future mortality under climate change.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231; AC05-00OR22725; AC05-76RL01830
OSTI ID:
1506341
Alternate ID(s):
OSTI ID: 1421573; OSTI ID: 1461063; OSTI ID: 1529987
Report Number(s):
PNNL-SA-132031; ark:/13030/qt6f92q2mv
Journal Information:
New Phytologist, Vol. 219, Issue 3; ISSN 0028-646X
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 295 works
Citation information provided by
Web of Science

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  • França, Filipe M.; Benkwitt, Cassandra E.; Peralta, Guadalupe
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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
carbon (C) starvation
CO 2 fertilization
forest mortality
hydraulic failure
tropical forests
carbon starvation
CO2 fertilization
hydraulic failure
forest mortality
tropical forests