@article{6cb4c7e6da66418f97a13be7255c8cd5,
title = "Plant functional traits and climate influence drought intensification and land–atmosphere feedbacks",
abstract = "The fluxes of energy, water, and carbon from terrestrial ecosystems influence the atmosphere. Land–atmosphere feedbacks can intensify extreme climate events like severe droughts and heatwaves because low soil moisture decreases both evaporation and plant transpiration and increases local temperature. Here, we combine data from a network of temperate and boreal eddy covariance towers, satellite data, plant trait datasets, and a mechanistic vegetation model to diagnose the controls of soil moisture feedbacks to drought. We find that climate and plant functional traits, particularly those related to maximum leaf gas exchange rate and water transport through the plant hydraulic continuum, jointly affect drought intensification. Our results reveal that plant physiological traits directly affect drought intensification and indicate that inclusion of plant hydraulic transport mechanisms in models may be critical for accurately simulating land–atmosphere feedbacks and climate extremes under climate change.",
keywords = "Climate change, Extreme events, Functional diversity, Plant hydraulics, Vegetation model",
author = "Anderegg, {William R.L.} and Trugman, {Anna T.} and Bowling, {David R.} and Guido Salvucci and Tuttle, {Samuel E.}",
note = "Funding Information: 2018-67012-28020. This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The ERA-Interim reanalysis data are provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux, and AsiaFlux offices. Funding Information: ACKNOWLEDGMENTS. We thank 2 anonymous reviewers for their comments. W.R.L.A. acknowledges funding from the David and Lucille Packard Foundation, the University of Utah Global Change and Sustainability Center, NSF Grants 1714972 and 1802880, and the USDA National Institute of Food and Agriculture, Agricultural and Food Research Initiative Competitive Program, Ecosystem Services and Agro-ecosystem Management, Grant 2018-67019-27850. A.T.T. acknowledges funding from the USDA National Institute of Food and Agriculture Postdoctoral Research Fellowship Grant Funding Information: We thank 2 anonymous reviewers for their comments. W.R.L.A. acknowledges funding from the David and Lucille Packard Foundation, the University of Utah Global Change and Sustainability Center, NSF Grants 1714972 and 1802880, and the USDA National Institute of Food and Agriculture, Agricultural and Food Research Initiative Competitive Program, Ecosystem Services and Agro-ecosystem Management, Grant 2018-67019-27850. A.T.T. acknowledges funding from the USDA National Institute of Food and Agriculture Postdoctoral Research Fellowship Grant 2018-67012-28020. This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The ERA-Interim reanalysis data are provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux, and AsiaFlux offices. Publisher Copyright: {\textcopyright} 2019 National Academy of Sciences. All rights reserved.",
year = "2019",
doi = "10.1073/pnas.1904747116",
language = "English (US)",
volume = "116",
pages = "14071--14076",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "28",
}