The Control of Plant and Soil Hydraulics on the Interannual Variability of Plant Carbon Uptake Over the Central US
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JGR Atmospheres - 2022 - Zhang ...
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Final Published Version
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Department of Hydrology and Atmospheric Sciences, The University of ArizonaIssue Date
2022
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John Wiley and Sons IncCitation
Zhang, X.-Y., Niu, G.-Y., & Zeng, X. (2022). The Control of Plant and Soil Hydraulics on the Interannual Variability of Plant Carbon Uptake Over the Central US. Journal of Geophysical Research: Atmospheres, 127(9).Rights
© 2022 American Geophysical Union. All Rights Reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The interannual variability (IAV) of gross primary productivity (GPP) reflects the sensitivity of GPP to climate variations and contributes substantially to the variations and long-term trend of the atmospheric CO2 growth rate. Analyses of three observation-based GPP products indicate that their IAVs are consistently correlated to terrestrial water storage anomaly over the central US, where episodic droughts occur. A land surface model explicitly representing plant hydraulics and groundwater capillary rise with an adequate soil hydraulics well captures the observed GPP IAV. Our sensitivity experiments indicate that, without representations of plant hydraulics and groundwater capillary rise or using an alternative soil hydraulics, the land model substantially overestimates the GPP IAV and the GPP sensitivity to water in the central US. This study strongly suggests the use of the van Genuchten water retention model to replace the most commonly used Brooks–Corey model, which generally produces too strong matric suction of soil water especially in dry conditions, in land surface modeling. This study highlights the importance of plant and soil hydraulics and surface–groundwater interactions to Earth system modeling for projections of future climates that may experience more intense and frequent droughts. © 2022. American Geophysical Union. All Rights Reserved.Note
6 month embargo; first published: 22 April 2022ISSN
2169-897XVersion
Final published versionae974a485f413a2113503eed53cd6c53
10.1029/2021JD035969