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Global Change Biology
Article
License: publisher-specific, author manuscript
Data sources: UnpayWall
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Global Change Biology
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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A catastrophic tropical drought kills hydraulically vulnerable tree species

Authors: Jennifer S. Powers; German Vargas G.; Timothy J. Brodribb; Naomi B. Schwartz; Daniel Pérez‐Aviles; Chris M. Smith‐Martin; Justin M. Becknell; +13 Authors

A catastrophic tropical drought kills hydraulically vulnerable tree species

Abstract

AbstractDrought‐related tree mortality is now a widespread phenomenon predicted to increase in magnitude with climate change. However, the patterns of which species and trees are most vulnerable to drought, and the underlying mechanisms have remained elusive, in part due to the lack of relevant data and difficulty of predicting the location of catastrophic drought years in advance. We used long‐term demographic records and extensive databases of functional traits and distribution patterns to understand the responses of 20–53 species to an extreme drought in a seasonally dry tropical forest in Costa Rica, which occurred during the 2015 El Niño Southern Oscillation event. Overall, species‐specific mortality rates during the drought ranged from 0% to 34%, and varied little as a function of tree size. By contrast, hydraulic safety margins correlated well with probability of mortality among species, while morphological or leaf economics spectrum traits did not. This firmly suggests hydraulic traits as targets for future research.

Keywords

Costa Rica, El Nino-Southern Oscillation, Plant Leaves, Tropical Climate, GE, Forests, SD, Droughts

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
170
Top 1%
Top 10%
Top 0.1%
Green
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