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Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts.
Longo, Marcos; Knox, Ryan G; Levine, Naomi M; Alves, Luciana F; Bonal, Damien; Camargo, Plinio B; Fitzjarrald, David R; Hayek, Matthew N; Restrepo-Coupe, Natalia; Saleska, Scott R; da Silva, Rodrigo; Stark, Scott C; Tapajós, Raphael P; Wiedemann, Kenia T; Zhang, Ke; Wofsy, Steven C; Moorcroft, Paul R.
Afiliação
  • Longo M; Faculty of Arts and Sciences, Harvard University, Cambridge, MA, 02138, USA.
  • Knox RG; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.
  • Levine NM; Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Alves LF; University of Southern California, Los Angeles, CA, 90007, USA.
  • Bonal D; Center for Tropical Research, Institute of the Environment and Sustainability, UCLA, Los Angeles, CA, 90095, USA.
  • Camargo PB; INRA, UMR EEF, 54280, Champenoux, France.
  • Fitzjarrald DR; Centro de Energia Nuclear na Agricultura, Universidade de São Paulo, Piracicaba, SP, 13416-000, Brazil.
  • Hayek MN; University at Albany SUNY, Albany, NY, 12222, USA.
  • Restrepo-Coupe N; Faculty of Arts and Sciences, Harvard University, Cambridge, MA, 02138, USA.
  • Saleska SR; Climate Change Cluster, University of Technology Sydney, Sydney, NSW, 2007, Australia.
  • da Silva R; University of Arizona, Tucson, AZ, 85721, USA.
  • Stark SC; University of Arizona, Tucson, AZ, 85721, USA.
  • Tapajós RP; Universidade Federal do Oeste do Pará, Santarém, PA, 68040-255, USA.
  • Wiedemann KT; Michigan State University, East Lansing, MI, 48824, USA.
  • Zhang K; Universidade Federal do Oeste do Pará, Santarém, PA, 68040-255, USA.
  • Wofsy SC; Faculty of Arts and Sciences, Harvard University, Cambridge, MA, 02138, USA.
  • Moorcroft PR; Hohai University, Nanjing, Jiangsu, 210029, China.
New Phytol ; 219(3): 914-931, 2018 08.
Article em En | MEDLINE | ID: mdl-29786858
ABSTRACT
The impact of increases in drought frequency on the Amazon forest's composition, structure and functioning remain uncertain. We used a process- and individual-based ecosystem model (ED2) to quantify the forest's vulnerability to increased drought recurrence. We generated meteorologically realistic, drier-than-observed rainfall scenarios for two Amazon forest sites, Paracou (wetter) and Tapajós (drier), to evaluate the impacts of more frequent droughts on forest biomass, structure and composition. The wet site was insensitive to the tested scenarios, whereas at the dry site biomass declined when average rainfall reduction exceeded 15%, due to high mortality of large-sized evergreen trees. Biomass losses persisted when year-long drought recurrence was shorter than 2-7 yr, depending upon soil texture and leaf phenology. From the site-level scenario results, we developed regionally applicable metrics to quantify the Amazon forest's climatological proximity to rainfall regimes likely to cause biomass loss > 20% in 50 yr according to ED2 predictions. Nearly 25% (1.8 million km2 ) of the Amazon forests could experience frequent droughts and biomass loss if mean annual rainfall or interannual variability changed by 2σ. At least 10% of the high-emission climate projections (CMIP5/RCP8.5 models) predict critically dry regimes over 25% of the Amazon forest area by 2100.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Secas Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul Idioma: En Revista: New Phytol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Secas Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul Idioma: En Revista: New Phytol Ano de publicação: 2018 Tipo de documento: Article