Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 13, issue 7
Biogeosciences, 13, 2195-2206, 2016
https://doi.org/10.5194/bg-13-2195-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 2195-2206, 2016
https://doi.org/10.5194/bg-13-2195-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Apr 2016

Research article | 15 Apr 2016

Amazon forest structure generates diurnal and seasonal variability in light utilization

Douglas C. Morton1, Jérémy Rubio1,2, Bruce D. Cook1, Jean-Philippe Gastellu-Etchegorry2, Marcos Longo3, Hyeungu Choi1,4, Maria Hunter5, and Michael Keller3,6 Douglas C. Morton et al.
  • 1NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
  • 2Centre d'Etudes Spatiales de la BIOsphère (CESBIO), UPS, CNES, CNRS, IRD, Université de Toulouse, 31401 Toulouse CEDEX 9, France
  • 3Embrapa Monitoramento por Satélite, CEP: 13070-115, Campinas, SP, Brazil
  • 4Global Science & Technology Inc., Greenbelt, MD 20770, USA
  • 5Earth Systems Research Center, University of New Hampshire, Durham, NH 03824, USA
  • 6USDA Forest Service, International Institute of Tropical Forestry, San Juan, PR 00926, USA

Abstract. The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (lAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80–0.82), light utilization varied seasonally (0.67–0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry-season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.

Publications Copernicus
Download
Short summary
Seasonal dynamics of tropical forest productivity remain an important source of uncertainty in assessments of the land carbon sink. This study confirms the potential for canopy structure and illumination geometry to alter the seasonal availability of light for canopy photosynthesis without changes in canopy composition. Our results point to the need for 3-D forest structure in ecosystem models to account the impact of changing illumination geometry on tropical forest productivity.
Seasonal dynamics of tropical forest productivity remain an important source of uncertainty in...
Citation