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

      review-article
      1 , , 2 , 3 , 2 , 4 , 5 , 6 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 2 , 13 , 14 , 15 , 1 , 16 , 17 , 2 , 18 , 19 , 20 , 21 , 12 , 22 , 18 , 23 , 24 , 11 , 25 , 26 , 27 , 2 , 3 , 28 , 29 , 30 , 31
      Global Change Biology
      John Wiley and Sons Inc.
      drought response, drought‐induced tree mortality, microwave remote sensing, pressure–volume, vegetation optical depth, vegetation water content, water potential

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          Abstract

          Droughts 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.

          Abstract

          Changes of vegetation water content (VWC) are linked to a range of tree responses to drought, including fluxes of water and carbon, mortality, flammability, and more, and can be retrieved from microwave remote sensing measurements. We highlight key frontiers through which remotely sensed VWC has the potential to significantly increase our understanding of forest responses to water stress. We argue that separate consideration of diel, seasonal, and decadal timescales can facilitate interpretation of VWC measurements for different process studies, and that VWC observations can be useful for constraining belowground water uptake. To link remotely sensed VWC estimates to plant hydraulic models, the utility and interpretation of ecosystem‐scale pressure‐volume curves are discussed.

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          Most cited references164

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          Increasing drought under global warming in observations and models

          Aiguo Dai (2013)
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            Global warming and changes in drought

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              On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene

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                Author and article information

                Contributors
                konings@stanford.edu
                Journal
                Glob Chang Biol
                Glob Chang Biol
                10.1111/(ISSN)1365-2486
                GCB
                Global Change Biology
                John Wiley and Sons Inc. (Hoboken )
                1354-1013
                1365-2486
                25 September 2021
                December 2021
                : 27
                : 23 ( doiID: 10.1111/gcb.v27.23 )
                : 6005-6024
                Affiliations
                [ 1 ] Stanford University Stanford CA USA
                [ 2 ] Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA
                [ 3 ] California Institute of Technology Pasadena CA USA
                [ 4 ] United States Forest Service Washington DC USA
                [ 5 ] Northern Arizona University Flagstaff AZ USA
                [ 6 ] University of Utah Salt Lake City UT USA
                [ 7 ] University of Texas ‐ Austin Austin TX USA
                [ 8 ] University of California ‐ Santa Barbara Santa Barbara CA USA
                [ 9 ] University of California ‐ Los Angeles Los Angeles CA USA
                [ 10 ] Oak Ridge National Laboratory Oak Ridge TN USA
                [ 11 ] Indiana University‐Bloomington Bloomington IN USA
                [ 12 ] The Australian National University Canberra ACT Australia
                [ 13 ] University of Texas – Rio Grande Edinburg TX USA
                [ 14 ] Massachusetts Institute of Technology Cambridge MA USA
                [ 15 ] Columbia University New York NY USA
                [ 16 ] Duke University Durham NC USA
                [ 17 ] The Ohio State University Columbus OH USA
                [ 18 ] Centre de Recerca Ecològica i Aplicacions Forestals (CREAF) Barcelona Spain
                [ 19 ] Universitat Autònoma de Barcelona Barcelona Spain
                [ 20 ] Pacific Northwest National Laboratory Richland WA USA
                [ 21 ] Washington State University Pullman WA USA
                [ 22 ] University of Edinburgh Edinburgh UK
                [ 23 ] Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain
                [ 24 ] University of California ‐ Irvine Irvine CA USA
                [ 25 ] University of Campinas Campinas Brazil
                [ 26 ] University of Massachusetts ‐ Amherst Amherst MA USA
                [ 27 ] Delft University of Technology Delft The Netherlands
                [ 28 ] University of Arizona Tucson AZ USA
                [ 29 ] University of Missouri Columbia MO USA
                [ 30 ] Cornell University Ithaca NY USA
                [ 31 ] Wageningen University Wageningen The Netherlands
                Author notes
                [*] [* ] Correspondence

                Alexandra G. Konings, Stanford University, Stanford, CA, USA.

                Email id: konings@ 123456stanford.edu

                Author information
                https://orcid.org/0000-0002-2810-1722
                https://orcid.org/0000-0001-8524-4917
                https://orcid.org/0000-0002-0546-5857
                https://orcid.org/0000-0002-0253-3359
                https://orcid.org/0000-0001-6551-3331
                https://orcid.org/0000-0002-2541-6382
                https://orcid.org/0000-0002-9532-7131
                https://orcid.org/0000-0002-7903-9711
                https://orcid.org/0000-0002-7009-7202
                https://orcid.org/0000-0002-2331-3056
                https://orcid.org/0000-0001-8528-6981
                https://orcid.org/0000-0002-6291-3644
                https://orcid.org/0000-0002-0510-4066
                https://orcid.org/0000-0002-4890-9999
                https://orcid.org/0000-0002-8362-4761
                https://orcid.org/0000-0002-0845-8345
                https://orcid.org/0000-0002-0585-9928
                https://orcid.org/0000-0001-9768-3693
                https://orcid.org/0000-0001-5129-6284
                https://orcid.org/0000-0001-5062-6245
                https://orcid.org/0000-0002-2332-7298
                https://orcid.org/0000-0002-2178-2254
                https://orcid.org/0000-0002-2362-0398
                https://orcid.org/0000-0003-0840-1477
                https://orcid.org/0000-0003-4922-4446
                https://orcid.org/0000-0002-8431-0879
                https://orcid.org/0000-0002-6392-2526
                https://orcid.org/0000-0001-5781-8282
                https://orcid.org/0000-0002-8644-3077
                https://orcid.org/0000-0003-1100-7550
                https://orcid.org/0000-0002-3729-2743
                https://orcid.org/0000-0002-0806-9390
                https://orcid.org/0000-0001-6422-2882
                https://orcid.org/0000-0002-9402-9474
                https://orcid.org/0000-0001-8100-1168
                Article
                GCB15872
                10.1111/gcb.15872
                9293345
                34478589
                c4462e80-6e58-44d2-964f-00cea44ed79a
                © 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 April 2021
                : 23 August 2021
                Page count
                Figures: 8, Tables: 2, Pages: 20, Words: 16662
                Funding
                Funded by: W.M. Keck Institute for Space Studies
                Categories
                Research Review
                Research Review
                Custom metadata
                2.0
                December 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:18.07.2022

                drought response,drought‐induced tree mortality,microwave remote sensing,pressure–volume,vegetation optical depth,vegetation water content,water potential

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