期刊
HYDROLOGY AND EARTH SYSTEM SCIENCES
卷 25, 期 8, 页码 4259-4274出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/hess-25-4259-2021
关键词
-
资金
- National Science Foundation [DEB-2045610]
Understanding the coupling effects of soil water stress and atmospheric moisture demand can help inform model selection within terrestrial biosphere models. Implementation of a minimalist plant hydraulic model demonstrated a spectrum of transpiration responses controlled by soil-plant hydraulic transport, with beta emerging as an end-member scenario of PHMs with infinite conductance. In cases of transport-limited soil-plant systems experiencing high variation in atmospheric moisture demand and moderate soil moisture supply for plants, PHM and beta transpiration predictions diverge the most.
Plant transpiration downregulation in the presence of soil water stress is a critical mechanism for predicting global water, carbon, and energy cycles. Currently, many terrestrial biosphere models (TBMs) represent this mechanism with an empirical correction function (beta) of soil moisture - a convenient approach that can produce large prediction uncertainties. To reduce this uncertainty, TBMs have increasingly incorporated physically based plant hydraulic models (PHMs). However, PHMs introduce additional parameter uncertainty and computational demands. Therefore, understanding why and when PHM and beta predictions diverge would usefully inform model selection within TBMs. Here, we use a minimalist PHM to demonstrate that coupling the effects of soil water stress and atmospheric moisture demand leads to a spectrum of transpiration responses controlled by soil-plant hydraulic transport (conductance). Within this transport-limitation spectrum, beta emerges as an end-member scenario of PHMs with infinite conductance, completely decoupling the effects of soil water stress and atmospheric moisture demand on transpiration. As a result, PHM and beta transpiration predictions diverge most for soil-plant systems with low hydraulic conductance (transport-limited) that experience high variation in atmospheric moisture demand and have moderate soil moisture supply for plants. We test these minimalist model results by using a land surface model at an AmeriFlux site. At this transport-limited site, a PHM downregulation scheme outperforms the beta scheme due to its sensitivity to variations in atmospheric moisture demand. Based on this observation, we develop a new dynamic beta that varies with atmospheric moisture demand - an approach that overcomes existing biases within beta schemes and has potential to simplify existing PHM parameterization and implementation.
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