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Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests

  • Jian Bi
  • , Yuri Knyazikhin
  • , Sungho Choi
  • , Taejin Park
  • , Jonathan Barichivich
  • , Philippe Ciais
  • , Rong Fu
  • , Sangram Ganguly
  • , Forrest Hall
  • , Thomas Hilker
  • , Alfredo Huete
  • , Matthew Jones
  • , John Kimball
  • , Alexei I. Lyapustin
  • , Matti Mõttus
  • , Ramakrishna R. Nemani
  • , Shilong Piao
  • , Benjamin Poulter
  • , Scott R. Saleska
  • , Sassan S. Saatchi
  • Liang Xu, Liming Zhou, Ranga B. Myneni
  • Boston University
  • University of East Anglia
  • Commissariat à l’énergie atomique et aux énergies alternatives
  • University of Texas at Austin
  • NASA Ames Research Center
  • NASA Goddard Space Flight Center
  • Oregon State University
  • University of Technology Sydney
  • University of Montana
  • University of Helsinki
  • Peking University
  • Chinese Academy of Sciences
  • Montana State University
  • University of Arizona
  • University of California at Los Angeles
  • Jet Propulsion Laboratory, California Institute of Technology
  • SUNY Albany

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

Abstract

Resolving the debate surrounding the nature and controls of seasonal variation in the structure and metabolism of Amazonian rainforests is critical to understanding their response to climate change. In situ studies have observed higher photosynthetic and evapotranspiration rates, increased litterfall and leaf flushing during the Sunlight-rich dry season. Satellite data also indicated higher greenness level, a proven surrogate of photosynthetic carbon fixation, and leaf area during the dry season relative to the wet season. Some recent reports suggest that rainforests display no seasonal variations and the previous results were satellite measurement artefacts. Therefore, here we re-examine several years of data from three sensors on two satellites under a range of sun positions and satellite measurement geometries and document robust evidence for a seasonal cycle in structure and greenness of wet equatorial Amazonian rainforests. This seasonal cycle is concordant with independent observations of solar radiation. We attribute alternative conclusions to an incomplete study of the seasonal cycle, i.e. the dry season only, and to prognostications based on a biased radiative transfer model. Consequently, evidence of dry season greening in geometry corrected satellite data was ignored and the absence of evidence for seasonal variation in lidar data due to noisy and saturated signals was misinterpreted as evidence of the absence of changes during the dry season. Our results, grounded in the physics of radiative transfer, buttress previous reports of dry season increases in leaf flushing, litterfall, photosynthesis and evapotranspiration in well-hydrated Amazonian rainforests.

Original languageEnglish
Article number064014
JournalEnvironmental Research Letters
Volume10
Issue number6
DOIs
StatePublished - Jun 1 2015

Funding

Funder number
1443108

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    3. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • Amazonian rainforests
    • MISR
    • MODIS
    • remote sensing
    • seasonality

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