Functional trait variation related to gap dynamics in tropical moist forests: a vegetation modelling perspective

Henrique Fürstenau Togashi*, Owen K. Atkin, Keith J. Bloomfield, Matt Bradford, Kunfang Cao, Ning Dong, Bradley J. Evans, Zexin Fan, Sandy P. Harrison, Zhu Hua, Michael J. Liddell, Jon Lloyd, Jian Ni, Han Wang, Lasantha K. Weerasinghe, Iain Colin Prentice

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The conventional representation of Plant Functional Types (PFTs) in Dynamic Global Vegetation Models (DGVMs) is increasingly recognized as simplistic and lacking in predictive power. Key ecophysiological traits, including photosynthetic parameters, are typically assigned single values for each PFT while the substantial trait variation within PFTs is neglected. This includes continuous variation in response to environmental factors, and differences linked to spatial and temporal niche differentiation within communities. A much stronger empirical basis is required for the treatment of continuous plant functional trait variation in DGVMs. We analyse 431 sets of measurements of leaf and plant traits, including photosynthetic measurements, on evergreen angiosperm trees in tropical moist forests of Australia and China. Confining attention to tropical moist forests, our analysis identifies trait differences that are linked to vegetation dynamic roles. Coordination theory predicts that Rubisco- and electron-transport limited rates of photosynthesis are co-limiting under field conditions. The least-cost hypothesis predicts that air-to-leaf CO 2 drawdown minimizes the combined costs per unit carbon assimilation of maintaining carboxylation and transpiration capacities. Aspects of these predictions are supported for within-community trait variation linked to canopy position, just as they are for variation along spatial environmental gradients. Trait differences among plant species occupying different structural and temporal niches may provide a basis for the ecophysiological representation of vegetation dynamics in next-generation DGVMs.

Original languageEnglish
Pages (from-to)52-64
Number of pages13
JournalPerspectives in Plant Ecology, Evolution and Systematics
Volume35
DOIs
Publication statusPublished - Dec 2018

Keywords

  • plant traits
  • photosynthesis
  • vegetation dynamics
  • tropical forests
  • DGVMs

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