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Article

New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model

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Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China
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Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, China
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School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Academic Editor: Heather R. McCarthy
Forests 2021, 12(6), 722; https://doi.org/10.3390/f12060722
Received: 3 April 2021 / Revised: 19 May 2021 / Accepted: 25 May 2021 / Published: 1 June 2021
(This article belongs to the Section Forest Ecophysiology and Biology)
Transpiration represents more than 30% of the global land–atmosphere water exchange but is highly uncertain. Plant hydraulics was ignored in traditional land surface modeling, but recently plant hydraulics has been found to play an essential role in transpiration simulation. A new physical-based representation of plant hydraulic schemes (PHS) was recently developed and implemented in the Common Land Model (CoLM). However, it is unclear to what extent PHS can reduce these uncertainties. Here, we evaluated the PHS against measurements obtained at 81 FLUXNET sites. The transpiration of each site was estimated using an empirical evapotranspiration partitioning approach. The metric scores defined by the International Land Model Benchmarking Project (ILAMB) were used to evaluate the model performance and compare it with that of the CoLM default scheme (soil moisture stress (SMS)). The bias score of transpiration in PHS was higher than SMS for most sites, and more significant improvements were found in semi-arid and arid sites where transpiration was limited by soil moisture. The hydraulic redistribution in PHS optimized the soil water supply and thus improved the transpiration estimates. In humid sites, no significant improvement in seasonal or interannual variability of transpiration was simulated by PHS, which can be explained by the insensitivity of transpiration demand coupled to the photosynthesis response to precipitation. In arid and semi-arid sites, seasonal or interannual variability of transpiration was better captured by PHS than SMS, which was interpreted by the improved drought sensitivity for transpiration. Arid land is widespread and is expected to expand due to climate change, thus there is an urgent need to couple PHS in land surface models. View Full-Text
Keywords: transpiration; plant hydraulics; hydraulic redistribution; benchmarking analysis; land surface model transpiration; plant hydraulics; hydraulic redistribution; benchmarking analysis; land surface model
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MDPI and ACS Style

Li, H.; Lu, X.; Wei, Z.; Zhu, S.; Wei, N.; Zhang, S.; Yuan, H.; Shangguan, W.; Liu, S.; Zhang, S.; Huang, J.; Dai, Y. New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model. Forests 2021, 12, 722. https://doi.org/10.3390/f12060722

AMA Style

Li H, Lu X, Wei Z, Zhu S, Wei N, Zhang S, Yuan H, Shangguan W, Liu S, Zhang S, Huang J, Dai Y. New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model. Forests. 2021; 12(6):722. https://doi.org/10.3390/f12060722

Chicago/Turabian Style

Li, Hongmei, Xingjie Lu, Zhongwang Wei, Siguang Zhu, Nan Wei, Shupeng Zhang, Hua Yuan, Wei Shangguan, Shaofeng Liu, Shulei Zhang, Jianfeng Huang, and Yongjiu Dai. 2021. "New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model" Forests 12, no. 6: 722. https://doi.org/10.3390/f12060722

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