Disentangling the Effects of Vapor Pressure Deficit and Soil Water Availability on Canopy Conductance in a Seasonal Tropical Forest During the 2015 El Niño Drought

Fang, Yilin; Leung, L. Ruby; Wolfe, Brett T.; Detto, Matteo; Knox, Ryan G.; McDowell, Nate G.; Grossiord, Charlotte; Xu, Chonggang; Christoffersen, Bradley O.; Gentine, Pierre; Koven, Charles D.; Chambers, Jeffrey Q.

doi:10.1029/2021jd035004

Title: Disentangling the Effects of Vapor Pressure Deficit and Soil Water Availability on Canopy Conductance in a Seasonal Tropical Forest During the 2015 El Niño Drought

Journal Article · Mon May 17 00:00:00 EDT 2021 · Journal of Geophysical Research: Atmospheres

DOI:https://doi.org/10.1029/2021jd035004· OSTI ID:1811664

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Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Louisiana State Univ., Baton Rouge, LA (United States). Smithsonian Tropical Research Inst.
Princeton Univ., NJ (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Swiss Federal Inst. for Forest, Snow and Landscape Research, Birmensdorf (Switzerland)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Univ. of Texas Rio Grande Valley, Edinburg, TX (United States)
Columbia Univ., New York, NY (United States)

In land models used in Earth system models, vegetation water stress is heuristically related to soil water matric potential, and root water uptake in soil layers is simply proportional to root density to meet the transpiration demand. The efficiency of roots utilizing deeper soil water under water stress cannot be well represented, but it is of critical importance for transpiration regulation and carbon flux. To improve modeling of tropical forest response to drought, a plant hydrodynamic scheme (HYDRO), adapted from a trait-based model in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), has been implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM) to represent the hydraulic dynamics and root water uptake strategy. The adapted model conforms to the big-leaf photosynthesis model in ELM. Vegetation water stress in the model is a function of prognostic leaf water potential and is used to regulate stomatal conductance. Point simulations were performed at two tropical forest sites in the Amazon and Panama. Model sensitivity to the numerical solver, plant hydraulic traits, soil properties, and atmospheric forcing has been evaluated. Our results showed that, even though water stress factors calculated at our study sites using HYDRO are comparable to that simulated by the heuristic water stress model, soil moisture prediction is improved with soil water redistributions through roots. Simulated results using HYDRO is not as sensitive to plant hydraulic traits measured for different tree species as to the soil properties and atmospheric forcing. Simplified numerical solver may cause inaccuracy as to where roots uptake water. This study suggests that plant hydrodynamic representation is critical for improved simulations of soil moisture under water stresses.

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Research Organization:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-76RL01830; AC02-05CH11231

OSTI ID:: 1811664

Alternate ID(s):: OSTI ID: 1814158; OSTI ID: 1854850

Report Number(s):: PNNL-SA-146993; PNNL-SA-167272

Journal Information:: Journal of Geophysical Research: Atmospheres, Vol. 126, Issue 10; ISSN 2169-897X

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Title: Disentangling the Effects of Vapor Pressure Deficit and Soil Water Availability on Canopy Conductance in a Seasonal Tropical Forest During the 2015 El Niño Drought

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