Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/f12060722 |
New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model | |
Li, Hongmei; Lu, Xingjie; Wei, Zhongwang; Zhu, Siguang; Wei, Nan; Zhang, Shupeng; Yuan, Hua; Shangguan, Wei; Liu, Shaofeng; Zhang, Shulei; Huang, Jianfeng; Dai, Yongjiu | |
通讯作者 | Lu, XJ (corresponding author), Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Peoples R China. |
来源期刊 | FORESTS |
EISSN | 1999-4907 |
出版年 | 2021 |
卷号 | 12期号:6 |
英文摘要 | 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. |
英文关键词 | transpiration plant hydraulics hydraulic redistribution benchmarking analysis land surface model |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000666314400001 |
WOS关键词 | SOIL EVAPORATION ; EXTREME DROUGHT ; WATER-UPTAKE ; REDISTRIBUTION ; VULNERABILITY ; FOREST ; ROOTS ; XYLEM ; CYCLE ; UNCERTAINTIES |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
来源机构 | 南京信息工程大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/350249 |
作者单位 | [Li, Hongmei; Lu, Xingjie; Wei, Zhongwang; Wei, Nan; Zhang, Shupeng; Yuan, Hua; Shangguan, Wei; Liu, Shaofeng; Zhang, Shulei; Huang, Jianfeng; Dai, Yongjiu] Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Peoples R China; [Zhu, Siguang] Nanjing Univ Informat Sci & Technol NUIST, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Int Joint Res Lab Climate & Environm Change, Key Lab Meteorol Disaster,Minist Educ, Nanjing 210044, Peoples R China; [Zhu, Siguang] Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Hongmei,Lu, Xingjie,Wei, Zhongwang,et al. New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model[J]. 南京信息工程大学,2021,12(6). |
APA | Li, Hongmei.,Lu, Xingjie.,Wei, Zhongwang.,Zhu, Siguang.,Wei, Nan.,...&Dai, Yongjiu.(2021).New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model.FORESTS,12(6). |
MLA | Li, Hongmei,et al."New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model".FORESTS 12.6(2021). |
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