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Seasonal and drought-related changes in leaf area profiles depend on height and light environment in an Amazon forest.
Smith, Marielle N; Stark, Scott C; Taylor, Tyeen C; Ferreira, Mauricio L; de Oliveira, Eronaldo; Restrepo-Coupe, Natalia; Chen, Shuli; Woodcock, Tara; Dos Santos, Darlisson Bentes; Alves, Luciana F; Figueira, Michela; de Camargo, Plinio B; de Oliveira, Raimundo C; Aragão, Luiz E O C; Falk, Donald A; McMahon, Sean M; Huxman, Travis E; Saleska, Scott R.
Afiliação
  • Smith MN; Department of Forestry, Michigan State University, East Lansing, MI, 48824, USA.
  • Stark SC; Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
  • Taylor TC; Department of Forestry, Michigan State University, East Lansing, MI, 48824, USA.
  • Ferreira ML; Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
  • de Oliveira E; Centro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, Piracicaba, SP, 13416-000, Brazil.
  • Restrepo-Coupe N; Universidade Federal do Oeste do Pará (UFOPA), CEP 68040-255, Santarém, PA, Brazil.
  • Chen S; Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
  • Woodcock T; School of Life Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia.
  • Dos Santos DB; Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
  • Alves LF; Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
  • Figueira M; Centro Universitário Luterano de Santarém (CEULS/ULBRA), CEP 68.025-000, Santarém, PA, Brazil.
  • de Camargo PB; Center for Tropical Research, Institute of the Environment and Sustainability, UCLA, Los Angeles, CA, 90095, USA.
  • de Oliveira RC; Universidade Federal do Oeste do Pará (UFOPA), CEP 68040-255, Santarém, PA, Brazil.
  • Aragão LEOC; Centro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, Piracicaba, SP, 13416-000, Brazil.
  • Falk DA; Embrapa Amazônia Oriental, 68035-110, Santarém, PA, Brazil.
  • McMahon SM; Instituto Nacional de Pesquisas Espaciais, 12227-010, São José dos Campos, SP, Brazil.
  • Huxman TE; College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK.
  • Saleska SR; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA.
New Phytol ; 222(3): 1284-1297, 2019 05.
Article em En | MEDLINE | ID: mdl-30720871
Seasonal dynamics in the vertical distribution of leaf area index (LAI) may impact the seasonality of forest productivity in Amazonian forests. However, until recently, fine-scale observations critical to revealing ecological mechanisms underlying these changes have been lacking. To investigate fine-scale variation in leaf area with seasonality and drought we conducted monthly ground-based LiDAR surveys over 4 yr at an Amazon forest site. We analysed temporal changes in vertically structured LAI along axes of both canopy height and light environments. Upper canopy LAI increased during the dry season, whereas lower canopy LAI decreased. The low canopy decrease was driven by highly illuminated leaves of smaller trees in gaps. By contrast, understory LAI increased concurrently with the upper canopy. Hence, tree phenological strategies were stratified by height and light environments. Trends were amplified during a 2015-2016 severe El Niño drought. Leaf area low in the canopy exhibited behaviour consistent with water limitation. Leaf loss from short trees in high light during drought may be associated with strategies to tolerate limited access to deep soil water and stressful leaf environments. Vertically and environmentally structured phenological processes suggest a critical role of canopy structural heterogeneity in seasonal changes in Amazon ecosystem function.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estações do Ano / Florestas / Folhas de Planta / Secas / Luz Tipo de estudo: Qualitative_research País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estações do Ano / Florestas / Folhas de Planta / Secas / Luz Tipo de estudo: Qualitative_research País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2019 Tipo de documento: Article