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dc.date.accessioned2021-10-13T19:20:42Z
dc.date.available2021-10-13T19:20:42Z
dc.date.issued2021-09
dc.date.submitted2021-04
dc.identifier.issn1365-2486
dc.identifier.urihttps://hdl.handle.net/1721.1/132968
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_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1111/gcb.15872en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceWileyen_US
dc.titleDetecting forest response to droughts with global observations of vegetation water contenten_US
dc.typeArticleen_US
dc.identifier.citationKonings, A. G., Saatchi, S. S., Frankenberg, C., Keller, M., Leshyk, V., Anderegg, W. R. L., Humphrey, V., Matheny, A. M., Trugman, A., Sack, L., Agee, E., Barnes, M. L., Binks, O., Cawse-Nicholson, K., Christoffersen, B. O., Entekhabi, D., Gentine, P., Holtzman, N. M., Katul, G. G., … Zuidema, P. A. (2021). Detecting forest response to droughts with global observations of vegetation water content. Global Change Biology, 00, 1– 20en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.relation.journalGlobal Change Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-10-13T18:45:48Z
dspace.orderedauthorsKonings, AG; Saatchi, SS; Frankenberg, C; Keller, M; Leshyk, V; Anderegg, WRL; Humphrey, V; Matheny, AM; Trugman, A; Sack, L; Agee, E; Barnes, ML; Binks, O; Cawse‐Nicholson, K; Christoffersen, BO; Entekhabi, D; Gentine, P; Holtzman, NM; Katul, GG; Liu, Y; Longo, M; Martinez‐Vilalta, J; McDowell, N; Meir, P; Mencuccini, M; Mrad, A; Novick, KA; Oliveira, RS; Siqueira, P; Steele‐Dunne, SC; Thompson, DR; Wang, Y; Wehr, R; Wood, JD; Xu, X; Zuidema, PAen_US
dspace.date.submission2021-10-13T18:45:49Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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