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

Review (2021)
Author(s)

Alexandra G. Konings (Stanford University)

Sassan S. Saatchi (California Institute of Technology)

Christian Frankenberg (California Institute of Technology)

Michael Keller (California Institute of Technology, United States Department of Agriculture Forest Service)

Victor Leshyk (Northern Arizona University)

William R.L. Anderegg (University of Utah)

Vincent Humphrey (California Institute of Technology)

Susan C. Steele-Dunne (TU Delft - Civil Engineering & Geosciences)

Yujie Wang (California Institute of Technology)

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Research Group
Mathematical Geodesy and Positioning
DOI related publication
https://doi.org/10.1111/gcb.15872 Final published version
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Publication Year
2021
Language
English
Research Group
Mathematical Geodesy and Positioning
Issue number
23
Volume number
27
Pages (from-to)
6005-6024
Downloads counter
322
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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.