4.8 Article

Resilience of Amazon forests emerges from plant trait diversity

Journal

NATURE CLIMATE CHANGE
Volume 6, Issue 11, Pages 1032-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/NCLIMATE3109

Keywords

-

Funding

  1. European Union Seventh Framework Programme [283093]
  2. Helmholtz Alliance 'Remote Sensing and Earth System Dynamics'
  3. TRY initiative on plant traits
  4. DIVERSITAS
  5. IGBP
  6. Global Land Project
  7. UK Natural Environment Research Council (NERC) through its program QUEST (Quantifying and Understanding the Earth System)
  8. French Foundation for Biodiversity Research (FRB)
  9. GIS 'Climat, Environnement et Societe' France

Ask authors/readers for more resources

Climate change threatens ecosystems worldwide, yet their potential future resilience remains largely unquantified(1). In recent years many studies have shown that biodiversity, and in particular functional diversity, can enhance ecosystem resilience by providing a higher response diversity(2-5). So far these insights have been mostly neglected in large-scale projections of ecosystem responses to climate change(6). Here we show that plant trait diversity, as a key component of functional diversity, can have a strikingly positive effect on the Amazon forests' biomass under future climate change. Using a terrestrial biogeochemical model that simulates diverse forest communities on the basis of individual tree growth(7), we show that plant trait diversity may enable the Amazon forests to adjust to new climate conditions via a process of ecological sorting, protecting the Amazon's carbon sink function. Therefore, plant trait diversity, and biodiversity in general, should be considered in large-scale ecosystem projections and be included as an integral part of climate change research and policy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available