Detecting forest response to droughts with global observations of vegetation water content
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 analogue of the pressure-volume curve, the non-linear relationship between 44 average leaf or branch water potential and water content commonly used in plant hydraulics. The 45 sources of variability in these ecosystem-scale pressure-volume curves and their relationship to 46 forest response to water stress are discussed. We further show to what extent diel,more »
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- Stanford Univ., CA (United States)
- California Institute of Technology (CalTech), Pasadena, CA (United States)
- California Institute of Technology (CalTech), Pasadena, CA (United States); United States Forest Service, Washington, DC (United States)
- Northern Arizona Univ., Flagstaff, AZ (United States)
- Univ. of Utah, Salt Lake City, UT (United States)
- Univ. of Texas, Austin, TX (United States)
- Univ. of California, Santa Barbara, CA (United States)
- Univ. of California, Los Angeles, CA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Indiana Univ., Bloomington, IN (United States)
- The Australian National Univ. (Australia)
- Univ. of Texas – Rio Grande, Edinburg, TX (United States)
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Columbia Univ., New York, NY (United States)
- Duke Univ., Durham, NC (United States)
- The Ohio State Univ., Columbus, OH (United States)
- Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Barcelona (Spain); Univ. Autònoma de Barcelona (Spain)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Washington State Univ., Pullman, WA (United States)
- Australian National Univ. (Australia); Univ. of Edinburgh (United Kingdom)
- Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Barcelona (Spain); Insti. Catalana de Recerca i Estudis Avançats (ICREA), Barcelona (Spain)
- Univ. of California, Irvine, CA (United States)
- Univ. of Campinas (Brazil)
- Univ. of Massachusetts, Amherst, MA (United States)
- Delft Univ. of Technology (The Netherlands)
- Univ. of Arizona, Tucson, AZ (United States)
- Univ. of Missouri, Columbia, MO (United States)
- Cornell Univ., Ithaca, NY (United States)
- Wageningen Univ. (The Netherlands)
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1828873
- Alternate Identifier(s):
- OSTI ID: 1838989
- Report Number(s):
- PNNL-SA-167467
Journal ID: ISSN 1354-1013
- Grant/Contract Number:
- AC05-76RL01830; AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Global Change Biology
- Additional Journal Information:
- Journal Volume: 27; Journal Issue: 23; Journal ID: ISSN 1354-1013
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; drought response; drought-induced tree mortality; microwave remote sensing; pressure–volume; vegetation optical depth; vegetation water content; water potential
Citation Formats
Konings, Alexandra G., Saatchi, Sassan S., Frankenberg, Christian, Keller, Michael, Leshyk, Victor, Anderegg, William R. L., Humphrey, Vincent, Matheny, Ashley M., Trugman, Anna, Sack, Lawren, Agee, Elizabeth, Barnes, Mallory L., Binks, Oliver, Cawse‐Nicholson, Kerry, Christoffersen, Bradley O., Entekhabi, Dara, Gentine, Pierre, Holtzman, Nataniel M., Katul, Gabriel G., Liu, Yanlan, Longo, Marcos, Martinez‐Vilalta, Jordi, McDowell, Nate G., Meir, Patrick, Mencuccini, Maurizio, Mrad, Assaad, Novick, Kimberly A., Oliveira, Rafael S., Siqueira, Paul, Steele‐Dunne, Susan C., Thompson, David R., Wang, Yujie, Wehr, Richard, Wood, Jeffrey D., Xu, Xiangtao, and Zuidema, Pieter A. Detecting forest response to droughts with global observations of vegetation water content. United States: N. p., 2021.
Web. doi:10.1111/gcb.15872.
Konings, Alexandra G., Saatchi, Sassan S., Frankenberg, Christian, Keller, Michael, Leshyk, Victor, Anderegg, William R. L., Humphrey, Vincent, Matheny, Ashley M., Trugman, Anna, Sack, Lawren, Agee, Elizabeth, Barnes, Mallory L., Binks, Oliver, Cawse‐Nicholson, Kerry, Christoffersen, Bradley O., Entekhabi, Dara, Gentine, Pierre, Holtzman, Nataniel M., Katul, Gabriel G., Liu, Yanlan, Longo, Marcos, Martinez‐Vilalta, Jordi, McDowell, Nate G., Meir, Patrick, Mencuccini, Maurizio, Mrad, Assaad, Novick, Kimberly A., Oliveira, Rafael S., Siqueira, Paul, Steele‐Dunne, Susan C., Thompson, David R., Wang, Yujie, Wehr, Richard, Wood, Jeffrey D., Xu, Xiangtao, & Zuidema, Pieter A. Detecting forest response to droughts with global observations of vegetation water content. United States. https://doi.org/10.1111/gcb.15872
Konings, Alexandra G., Saatchi, Sassan S., Frankenberg, Christian, Keller, Michael, Leshyk, Victor, Anderegg, William R. L., Humphrey, Vincent, Matheny, Ashley M., Trugman, Anna, Sack, Lawren, Agee, Elizabeth, Barnes, Mallory L., Binks, Oliver, Cawse‐Nicholson, Kerry, Christoffersen, Bradley O., Entekhabi, Dara, Gentine, Pierre, Holtzman, Nataniel M., Katul, Gabriel G., Liu, Yanlan, Longo, Marcos, Martinez‐Vilalta, Jordi, McDowell, Nate G., Meir, Patrick, Mencuccini, Maurizio, Mrad, Assaad, Novick, Kimberly A., Oliveira, Rafael S., Siqueira, Paul, Steele‐Dunne, Susan C., Thompson, David R., Wang, Yujie, Wehr, Richard, Wood, Jeffrey D., Xu, Xiangtao, and Zuidema, Pieter A. Fri .
"Detecting forest response to droughts with global observations of vegetation water content". United States. https://doi.org/10.1111/gcb.15872. https://www.osti.gov/servlets/purl/1828873.
@article{osti_1828873,
title = {Detecting forest response to droughts with global observations of vegetation water content},
author = {Konings, Alexandra G. and Saatchi, Sassan S. and Frankenberg, Christian and Keller, Michael and Leshyk, Victor and Anderegg, William R. L. and Humphrey, Vincent and Matheny, Ashley M. and Trugman, Anna and Sack, Lawren and Agee, Elizabeth and Barnes, Mallory L. and Binks, Oliver and Cawse‐Nicholson, Kerry and Christoffersen, Bradley O. and Entekhabi, Dara and Gentine, Pierre and Holtzman, Nataniel M. and Katul, Gabriel G. and Liu, Yanlan and Longo, Marcos and Martinez‐Vilalta, Jordi and McDowell, Nate G. and Meir, Patrick and Mencuccini, Maurizio and Mrad, Assaad and Novick, Kimberly A. and Oliveira, Rafael S. and Siqueira, Paul and Steele‐Dunne, Susan C. and Thompson, David R. and Wang, Yujie and Wehr, Richard and Wood, Jeffrey D. and Xu, Xiangtao and Zuidema, Pieter A.},
abstractNote = {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 analogue of the pressure-volume curve, the non-linear relationship between 44 average leaf or branch water potential and water content commonly used in plant hydraulics. The 45 sources of variability in these ecosystem-scale pressure-volume curves and their relationship to 46 forest response to water stress are discussed. We further show to what extent diel, seasonal, and 47 decadal dynamics of VWC reflect variations in different processes relating the tree response to 48 water stress. VWC can also be used for inferring belowground conditions – which are difficult to 49 impossible to observe directly. Lastly, we discuss how a dedicated geostationary spaceborne 50 observational system for VWC, when combined with existing datasets, can capture diel and 51 seasonal water dynamics to advance the science and applications of global forest vulnerability to 52 future droughts.},
doi = {10.1111/gcb.15872},
journal = {Global Change Biology},
number = 23,
volume = 27,
place = {United States},
year = {Fri Sep 03 00:00:00 EDT 2021},
month = {Fri Sep 03 00:00:00 EDT 2021}
}
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