2016
DOI: 10.1038/nclimate3109
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Resilience of Amazon forests emerges from plant trait diversity

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Cited by 246 publications
(230 citation statements)
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References 35 publications
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“…Such extensions should focus on linking the core abiotic and biotic dimensions of the planetary boundary framework. The present lack of well-developed model representations of the dynamics and ecosystem structure of biosphere diversity, heterogeneity, and resilience, despite ongoing efforts in this direction (Purves et al, 2013;Bartlett et al, 2016;Sakschewski et al, 2016), emphasises the need for a more conceptual understanding of biosphere integrity, its vulnerability to anthropogenic perturbation, and its role for Earth system resilience.…”
Section: Discussionmentioning
confidence: 99%
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“…Such extensions should focus on linking the core abiotic and biotic dimensions of the planetary boundary framework. The present lack of well-developed model representations of the dynamics and ecosystem structure of biosphere diversity, heterogeneity, and resilience, despite ongoing efforts in this direction (Purves et al, 2013;Bartlett et al, 2016;Sakschewski et al, 2016), emphasises the need for a more conceptual understanding of biosphere integrity, its vulnerability to anthropogenic perturbation, and its role for Earth system resilience.…”
Section: Discussionmentioning
confidence: 99%
“…The analytical forms show that increasing Revelle factor r, as is likely to occur in an increasingly acidic ocean (Sabine et al, 2004), will decrease the strengths of ocean climate-carbon and concentration-carbon feedbacks. Weakening overturning circulation, via w 0 , would also decrease the strength of the ocean carbon cycle feedbacks.…”
Section: Feedback Analysismentioning
confidence: 99%
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“…Lund-Potsdam-Jena (LPJ); Sitch et al, 2003). Only a few global vegetation models include a more detailed representation of vegetation structure and functional diversity (Sato et al, 2007;Scheiter et al, 2013;Sakschewski et al, 2016). It would be interesting to perform the analysis presented here with global vegetation models which include structure to better understand the mechanisms driving forest systems' sensitivity to climate change.…”
Section: Implications For Global Vegetation Modellingmentioning
confidence: 99%