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Liana optical traits increase tropical forest albedo and reduce ecosystem productivity.

Authors
  • Meunier, Félicien1, 2
  • Visser, Marco D3, 4
  • Shiklomanov, Alexey5
  • Dietze, Michael C2
  • Guzmán Q, J Antonio6
  • Sanchez-Azofeifa, G Arturo6, 7
  • De Deurwaerder, Hannes P T3
  • Krishna Moorthy, Sruthi M1
  • Schnitzer, Stefan A7, 8
  • Marvin, David C9
  • Longo, Marcos10
  • Liu, Chang1
  • Broadbent, Eben N11, 12
  • Almeyda Zambrano, Angelica M12
  • Muller-Landau, Helene C7
  • Detto, Matteo3, 7
  • Verbeeck, Hans1
  • 1 CAVElab-Computational and Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium. , (Belgium)
  • 2 Department of Earth and Environment, Boston University, Boston, Massachusetts, USA.
  • 3 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA. , (Jersey)
  • 4 Institute of Environmental Sciences, Leiden University, Leiden, The Netherlands. , (Netherlands)
  • 5 NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
  • 6 Centre for Earth Observation Sciences (CEOS), Earth and Atmospheric Sciences Department, University of Alberta, Edmonton, Alberta, Canada. , (Canada)
  • 7 Smithsonian Tropical Research Institute, Balboa, Panama. , (Panama)
  • 8 Department of Biological Sciences, Marquette University, Milwaukee, Wisconsin, USA.
  • 9 Salo Sciences, Inc., San Francisco, California, USA.
  • 10 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.
  • 11 Spatial Ecology and Conservation (SPEC) Lab, School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, Florida, USA.
  • 12 Spatial Ecology and Conservation (SPEC) Lab, Center for Latin American Studies, University of Florida, Gainesville, Florida, USA.
Type
Published Article
Journal
Global Change Biology
Publisher
Wiley (Blackwell Publishing)
Publication Date
Jan 01, 2022
Volume
28
Issue
1
Pages
227–244
Identifiers
DOI: 10.1111/gcb.15928
PMID: 34651375
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Lianas are a key growth form in tropical forests. Their lack of self-supporting tissues and their vertical position on top of the canopy make them strong competitors of resources. A few pioneer studies have shown that liana optical traits differ on average from those of colocated trees. Those trait discrepancies were hypothesized to be responsible for the competitive advantage of lianas over trees. Yet, in the absence of reliable modelling tools, it is impossible to unravel their impact on the forest energy balance, light competition, and on the liana success in Neotropical forests. To bridge this gap, we performed a meta-analysis of the literature to gather all published liana leaf optical spectra, as well as all canopy spectra measured over different levels of liana infestation. We then used a Bayesian data assimilation framework applied to two radiative transfer models (RTMs) covering the leaf and canopy scales to derive tropical tree and liana trait distributions, which finally informed a full dynamic vegetation model. According to the RTMs inversion, lianas grew thinner, more horizontal leaves with lower pigment concentrations. Those traits made the lianas very efficient at light interception and significantly modified the forest energy balance and its carbon cycle. While forest albedo increased by 14% in the shortwave, light availability was reduced in the understorey (-30% of the PAR radiation) and soil temperature decreased by 0.5°C. Those liana-specific traits were also responsible for a significant reduction of tree (-19%) and ecosystem (-7%) gross primary productivity (GPP) while lianas benefited from them (their GPP increased by +27%). This study provides a novel mechanistic explanation to the increase in liana abundance, new evidence of the impact of lianas on forest functioning, and paves the way for the evaluation of the large-scale impacts of lianas on forest biogeochemical cycles. © 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

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