Title
Vulnerability of Amazon forests to storm-driven tree mortality
Date Issued
01 May 2018
Access level
open access
Resource Type
journal article
Author(s)
Negrón-Juárez R.I.
Holm J.A.
Marra D.M.
Rifai S.W.
Riley W.J.
Chambers J.Q.
Koven C.D.
Knox R.G.
McGroddy M.E.
Di Vittorio A.V.
Ribeiro G.H.P.M.
Higuchi N.
Publisher(s)
Institute of Physics Publishing
Abstract
Tree mortality is a key driver of forest community composition and carbon dynamics. Strong winds associated with severe convective storms are dominant natural drivers of tree mortality in the Amazon. Why forests vary with respect to their vulnerability to wind events and how the predicted increase in storm events might affect forest ecosystems within the Amazon are not well understood. We found that windthrows are common in the Amazon region extending from northwest (Peru, Colombia, Venezuela, and west Brazil) to central Brazil, with the highest occurrence of windthrows in the northwest Amazon. More frequent winds, produced by more frequent severe convective systems, in combination with well-known processes that limit the anchoring of trees in the soil, help to explain the higher vulnerability of the northwest Amazon forests to winds. Projected increases in the frequency and intensity of convective storms in the Amazon have the potential to increase wind-related tree mortality. A forest demographic model calibrated for the northwestern and the central Amazon showed that northwestern forests are more resilient to increased wind-related tree mortality than forests in the central Amazon. Our study emphasizes the importance of including wind-related tree mortality in model simulations for reliable predictions of the future of tropical forests and their effects on the Earth' system.
Volume
13
Issue
5
Language
English
OCDE Knowledge area
Investigación climática
Forestal
Subjects
Scopus EID
2-s2.0-85048083182
Source
Environmental Research Letters
ISSN of the container
17489318
Sponsor(s)
We thank crew members at the National University of the Peruvian Amazon (UNAP) for their logistic support through the project Muro Huayra (RD N◦ 321–2009 FCF-UNAP, RR N◦1389–2010-UNAP), and staff at the Brazil’s National Institute for Amazonian Research for all their dedicated field work. We thank Marilyn Saarni for her editorial review on the submitted and revised version of this manuscript. Landsat Imagery was analyzed using Google Earth Engine: A planetary-scale geospatial analysis platform, Google Earth Engine Team 2015, https:// earthengine.google.com. This research was supported as part of the Next Generation Ecosystem Experiments-Tropics, funded by the US Department of Energy, Office of Science, Office of Biological and Environmental Research. This research was partially or fully supported through the Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation Scientific Focus Area (RUBISCO SFA) under contract to LBNL, which is sponsored by the Regional and Global Climate Modeling (RGCM) Program in the Climate and Environmental Sciences Division (CESD) of the Office of Biological and Environmental Research (BER) in the US Department of Energy Office of Science. Data collection in Manaus, Brazil, was supported by the Brazilian Council for Scientific and Technological Development (CNPq) within the projects Woods of the Amazon (INCT Madeiras da Amazonia) and Succession After Windthrows (SAWI) (MCTI/No 14/2012, Proc. 473357/2012-7). Data collection in Iquitos, Peru, was supported by NASA Biodiversity.
Sources of information:
Directorio de Producción Científica
Scopus