Resilience of Amazon forests emerges from plant trait diversity

Application of a terrestrial biogeochemical model that simulates diverse forest communities suggests that plant trait diversity may enable the Amazon rainforest to adjust to new climate conditions via a process of ecological sorting. Climate change threatens ecosystems worldwide, yet their potential...

Full description

Saved in:
Bibliographic Details
Published inNature climate change Vol. 6; no. 11; pp. 1032 - 1036
Main Authors Sakschewski, Boris, von Bloh, Werner, Boit, Alice, Poorter, Lourens, Peña-Claros, Marielos, Heinke, Jens, Joshi, Jasmin, Thonicke, Kirsten
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.11.2016
Nature Publishing Group
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Application of a terrestrial biogeochemical model that simulates diverse forest communities suggests that plant trait diversity may enable the Amazon rainforest to adjust to new climate conditions via a process of ecological sorting. 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 , 3 , 4 , 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1758-678X
1758-6798
DOI:10.1038/nclimate3109