Articles | Volume 25, issue 5
Hydrol. Earth Syst. Sci., 25, 2399–2417, 2021
https://doi.org/10.5194/hess-25-2399-2021

Special issue: Microwave remote sensing for improved understanding of vegetation–water...

Hydrol. Earth Syst. Sci., 25, 2399–2417, 2021
https://doi.org/10.5194/hess-25-2399-2021

Research article 10 May 2021

Research article | 10 May 2021

Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion

Yanlan Liu et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (16 Mar 2021) by Matthias Forkel
AR by Yanlan Liu on behalf of the Authors (22 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (31 Mar 2021) by Matthias Forkel
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Short summary
The flow of water through plants varies with species-specific traits. To determine how they vary across the world, we mapped the traits that best allowed a model to match microwave satellite data. We also defined average values across a few clusters of trait behavior. These form a tractable solution for use in large-scale models. Transpiration estimates using these clusters were more accurate than if using plant functional types. We expect our maps to improve transpiration forecasts.