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A catastrophic tropical drought kills hydraulically vulnerable tree species Powers, Jennifer; Vargas-G, German; Brodribb, Timothy; Schwartz, Naomi; Perez-Aviles, Daniel; Smith-Martin, Chris; Becknell, Justin; Aureli, Filippo; Blanco, Roger; Calderón-Morales, Erick; Calvo-Alvarado, Julio César; Calvo-Obando, Ana Julieta; Chavarría, María Marta; Carvajal-Vanegas, Dorian; Jiménez-Rodríguez, César Dionisio; Murillo Chacon, Evin; Schaffner, Colleen; Werden, Leland; Xu, Xiangtao; Medvigy, David

Description

<b>Abstract</b><br/>

Drought-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 to 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.</p>; <b>Methods</b><br />

The dataset contains annual observations of tree mortality in different 18 plots, expanded sampling for mortality during 2015, and datasets of plant functional and hydraulic traits.  Please refer to the publication for exact methods.  All data come from Guanacaste, Costa Rica.</p>; <b>Usage notes</b><br />

All data and associated R scripts are contained in the files. The R scripts refer to the three main questions asked in the associated publication.</p>

Item Metadata

Title
A catastrophic tropical drought kills hydraulically vulnerable tree species
Creator
Powers, Jennifer; Vargas-G, German; Brodribb, Timothy; Schwartz, Naomi; Perez-Aviles, Daniel; Smith-Martin, Chris; Becknell, Justin; Aureli, Filippo; Blanco, Roger; Calderón-Morales, Erick; Calvo-Alvarado, Julio César; Calvo-Obando, Ana Julieta; Chavarría, María Marta; Carvajal-Vanegas, Dorian; Jiménez-Rodríguez, César Dionisio; Murillo Chacon, Evin; Schaffner, Colleen; Werden, Leland; Xu, Xiangtao; Medvigy, David
Date Issued
2021-05-19
Description
<b>Abstract</b><br/>

Drought-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 to 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.</p>; <b>Methods</b><br />

The dataset contains annual observations of tree mortality in different 18 plots, expanded sampling for mortality during 2015, and datasets of plant functional and hydraulic traits.  Please refer to the publication for exact methods.  All data come from Guanacaste, Costa Rica.</p>; <b>Usage notes</b><br />

All data and associated R scripts are contained in the files. The R scripts refer to the three main questions asked in the associated publication.</p>

Subject
Other; Costa Rica
Type
Dataset
Notes

Dryad version number: 4</p>

Version status: submitted</p>

Dryad curation status: Published</p>

Sharing link: https://datadryad.org/stash/share/anFoRwjUzvjvpH8RA2T0mNipNsVst0s0N5mFzcTTcJE</p>

Storage size: 23874866</p>

Visibility: public</p>

Date Available
2020-03-17
Provider
University of British Columbia Library
License
CC0 1.0
DOI
10.14288/1.0398056
URI
https://doi.org/10.5683/SP2/ZQJUEN
Publisher DOI
https://doi.org/10.5683/SP2/ZQJUEN; https://doi.org/10.5061/dryad.2rbnzs7jp
Grant Funding Agency
National Science Foundation; National Science Foundation; National Science Foundation; Instituto Tecnológico de Costa Rica; Australian Research Council; Consejo Nacional de Ciencia y Tecnología; U.S. Department of Energy
Rights URI
http://creativecommons.org/publicdomain/zero/1.0
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Dataverse

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CC0 1.0