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Detecting forest response to droughts with global observations of vegetation water content

dc.contributor.authorKonings, Alexandra G
dc.contributor.authorSaatchi, Sassan S
dc.contributor.authorFrankenberg, Christian
dc.contributor.authorKeller, Michael
dc.contributor.authorLeshyk, Victor
dc.contributor.authorAnderegg, William R L
dc.contributor.authorHumphrey, Vincent
dc.contributor.authorMatheny, Ashley M
dc.contributor.authorTrugman, Anna
dc.contributor.authorSack, Lawren
dc.contributor.authorBinks, Oliver
dc.contributor.authorMeir, Patrick
dc.date.accessioned2023-04-12T23:30:24Z
dc.date.issued2021
dc.date.updated2022-01-23T07:18:34Z
dc.description.abstractDroughts in a warming climate have become more common and more extreme, making understanding forest responses to water stress increasingly pressing. Analysis of water stress in trees has long focused on water potential in xylem and leaves, which influences stomatal closure and water flow through the soil-plant-atmosphere continuum. At the same time, changes of vegetation water content (VWC) are linked to a range of tree responses, including fluxes of water and carbon, mortality, flammability, and more. Unlike water potential, which requires demanding in situ measurements, VWC can be retrieved from remote sensing measurements, particularly at microwave frequencies using radar and radiometry. Here, we highlight key frontiers through which VWC has the potential to significantly increase our understanding of forest responses to water stress. To validate remote sensing observations of VWC at landscape scale and to better relate them to data assimilation model parameters, we introduce an ecosystem-scale analog of the pressure–volume curve, the non-linear relationship between average leaf or branch water potential and water content commonly used in plant hydraulics. The sources of variability in these ecosystem-scale pressure-volume curves and their relationship to forest response to water stress are discussed. We further show to what extent diel, seasonal, and decadal dynamics of VWC reflect variations in different processes relating the tree response to water stress. VWC can also be used for inferring belowground conditions—which are difficult to impossible to observe directly. Lastly, we discuss how a dedicated geostationary spaceborne observational system for VWC, when combined with existing datasets, can capture diel and seasonal water dynamics to advance the science and applications of global forest vulnerability to future droughts.en_AU
dc.description.sponsorshipThe outlines of this work were devel-oped in the “Sensing Forest Water Dynamics from Space: Towards Predicting the Earth System Response to Droughts” study, which was initiated and supported by the W.M. Keck Institute for Space Studies. LS was supported by NSF grant DEB-2017949. AGK was supported by NASA Terrestrial Ecology award 80NSSC18K0715. EA was supported as part of the Next Generation Ecosystem Experiments-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. The research carried out at the Jet Propulsion Laboratory, California Institute of Technology, was under a contract with the National Aeronautics and Space Administration. Oak Ridge National Laboratory is managed by UT-Battelle, LLC, for the U.S. DOE under contract DE-AC05- 100800OR22725.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1354-1013en_AU
dc.identifier.urihttp://hdl.handle.net/1885/289171
dc.language.isoen_AUen_AU
dc.publisherBlackwell Publishing Ltden_AU
dc.rights© 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd.en_AU
dc.sourceGlobal Change Biologyen_AU
dc.subjectdrought responseen_AU
dc.subjectdrought-induced tree mortalityen_AU
dc.subjectmicrowave remote sensingen_AU
dc.subjectpressureen_AU
dc.subjectvolumeen_AU
dc.subjectvegetation optical depthen_AU
dc.subjectvegetation water contenten_AU
dc.subjectwater potentialen_AU
dc.titleDetecting forest response to droughts with global observations of vegetation water contenten_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue23en_AU
local.bibliographicCitation.lastpage6024en_AU
local.bibliographicCitation.startpage6005en_AU
local.contributor.affiliationKonings, Alexandra G, Stanford Universityen_AU
local.contributor.affiliationSaatchi, Sassan S, California Institute of Technologyen_AU
local.contributor.affiliationFrankenberg, Christian, California Institute of Technologyen_AU
local.contributor.affiliationKeller, Michael, California Institute of Technologyen_AU
local.contributor.affiliationLeshyk, Victor, Northern Arizona Universityen_AU
local.contributor.affiliationAnderegg, William R L, University of Utahen_AU
local.contributor.affiliationHumphrey, Vincent, California Institute of Technologyen_AU
local.contributor.affiliationMatheny, Ashley M, University of Texasen_AU
local.contributor.affiliationTrugman, Anna, University of Californiaen_AU
local.contributor.affiliationSack, Lawren, University of Californiaen_AU
local.contributor.affiliationBinks, Oliver, College of Science, ANUen_AU
local.contributor.affiliationMeir, Patrick, College of Science, ANUen_AU
local.contributor.authoruidBinks, Oliver, u1032921en_AU
local.contributor.authoruidMeir, Patrick, u4875047en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor310806 - Plant physiologyen_AU
local.identifier.absseo280102 - Expanding knowledge in the biological sciencesen_AU
local.identifier.ariespublicationa383154xPUB22559en_AU
local.identifier.citationvolume27en_AU
local.identifier.doi10.1111/gcb.15872en_AU
local.identifier.scopusID2-s2.0-85115722928
local.publisher.urlhttps://www.wiley.com/en-gben_AU
local.type.statusPublished Versionen_AU

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