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Towards a universal evapotranspiration model based on optimality principles

Shen Tan, Han Wang*, Iain Colin Prentice, Kun Yang, Rodolfo L. B. Nóbrega, Xiaomang Liu, Yong Wang, Yuting Yang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    Natural resource management requires knowledge of terrestrial evapotranspiration (ET). Most existing numeric models for ET include multiple plant- or ecosystem-type specific parameters that require calibration. This is a significant source of uncertainty under changing environmental conditions. A novel ET model with no type−specific parameters was developed recently. Based on the coupling the diffusion (via stomata) of water and carbon dioxide (CO2), this model predicts canopy conductance based on environmental conditions using eco-evolutionary optimality principles that apply to all plant types. Transpiration (T) and ET are calculated from canopy conductance using the Penman-Monteith equation for T and a universal empirical function for the T:ET ratio. Here, the model is systematically evaluated at globally distributed eddy-covariance sites and river basins. Site-scale modelled ET agrees well with flux data (r = 0.81, root mean square error = 0.73 mm day–1 in 23,623 records) and modelled ET in 39 river basins agrees well with the ET estimated by monthly water budget using two runoff datasets (r = 0.62 and 0.66, respectively). Modelled global patterns of ET are consistent with existing global ET products. The model's universality, parsimony and accuracy combine to indicate a broad potential field of application in resource management and global change science.

    Original languageEnglish
    Article number109478
    Pages (from-to)1-11
    Number of pages11
    JournalAgricultural and Forest Meteorology
    Volume336
    Early online date2 May 2023
    DOIs
    Publication statusPublished - 1 Jun 2023

    Bibliographical note

    Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • Canopy conductance
    • Eco-evolutionary optimality
    • Evapotranspiration
    • Remote sensing
    • Transpiration
    • Water balance

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