The ecohydrological context of drought and classification of plant responses

Feng, Xue; Ackerly, David D.; Dawson, Todd E.; Manzoni, Stefano; Skelton, Rob P.; Vico, Giulia; Thompson, Sally E.; Maherali, Hafiz

doi:10.1111/ele.13139

Title: The ecohydrological context of drought and classification of plant responses

Journal Article · Mon Aug 27 00:00:00 EDT 2018 · Ecology Letters

DOI:https://doi.org/10.1111/ele.13139· OSTI ID:1479456

Feng, Xue ^[1]; Ackerly, David D. ^[2]; Dawson, Todd E. ^[3]; Manzoni, Stefano ^[4]; Skelton, Rob P. ^[2]; Vico, Giulia ^[5]; Thompson, Sally E. ^[6]; Maherali, Hafiz

Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, Minneapolis MN USA
Department of Integrative Biology, University of California, Berkeley CA USA
Department of Integrative Biology, University of California, Berkeley CA USA; Department of Environmental Sciences, Policy, and Management, University of California, Berkeley CA USA
Department of Physical Geography, Stockholm University, Stockholm Sweden; Bolin Centre for Climate Research, Stockholm Sweden
Department of Crop Production Ecology, Swedish University of Agricultural Sciences (SLU), Uppsala Sweden
Department of Civil and Environmental Engineering, University of California, Berkeley CA USA

Many recent studies on drought-induced vegetation mortality have previously explored how plant functional traits, and classifications of such traits along axes of, e.g., isohydry–anisohydry, might contribute to predicting drought survival and recovery. As these studies proliferate, the consistency and predictive value of such classifications need to be carefully examined. Here, we outline the basis for a systematic classification of plant drought responses that accounts for both environmental conditions and functional traits. We use non-dimensional analysis to integrate plant traits and metrics of environmental variation into groups that can be associated with alternative drought stress pathways (hydraulic failure and carbon limitation), and demonstrate that these groupings predict physiological drought outcomes using both synthetic and measured data. In doing so, we aim to untangle some confounding effects of environment and trait variations that undermine current classification schemes, advocate for more careful treatment of the environmental context within which plants experience and respond to drought, and outline a pathway towards a general classification of drought vulnerability.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: AC02-05CH11231

OSTI ID:: 1479456

Journal Information:: Ecology Letters, Vol. 21, Issue 11; ISSN 1461-023X

Publisher:: Wiley

Country of Publication:: United States

Language:: English

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