干旱区生态环境知识资源中心(Arid): A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands

Arid

DOI	10.1016/j.jenvman.2023.119566
	A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands
	Ding, Lei; Li, Zhenwang; Xu, Kang; Huang, Mengtian; Shen, Beibei; Hou, Lulu; Xiao, Liujun; Liang, Shefang; Shi, Zhou; Wang, Xu; Guo, Kaiwen; Yang, Yuanyuan; Xin, Xiaoping; Chang, Jinfeng
通讯作者	Chang, JF
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2024
卷号	349
英文摘要	High-accuracy simulation of gross primary productivity (GPP) is crucial for the monitoring and evaluation of the ecosystem services and the adaptive management of grassland. The light use efficiency (LUE) model is one of the most widely-used methods to simulate GPP, given its simple structure and low input requirements. Current LUE models are less applicable to grasslands than other vegetation types and have lower overall estimation accuracy in arid and semi-arid regions. A grassland-specific light use efficiency model (GRASS-LUE), which optimizes three important parameters (the fraction of absorbed photosynthetically active radiation FPAR, optimum temperature T-opt and water stress factor f(W)), has been developed to improve the accuracy of GPP simulation for grasslands along aridity gradients. GPP simulated by the GRASS-LUE agreed well with the eddy covariance (EC) GPP estimates for grasslands along the aridity gradient at 8-day (coefficient of determination (R-2) = 0.85, Bias = -0.67 gC m(-2) day(-1)), monthly (R-2 = 0.88, Bias = -22.33 gC m(-2) month(-1)) and annual time scales (R-2 = 0.95, Bias = -118.91 gC m(-2) year(-1)). Compared with five state-of-the-art GPP products (PML, MOD17, rEC-LUE, VPM and BESS), GRASS-LUE had the best and most stable performance in reproducing EC GPP, especially for semi-arid grassland, with the highest global performance indicator (GPI) value. Sensitivity tests further revealed that: 1) modifying f(W) to be based on the Normalized Difference Water Index (NDWI) substantially improved the model accuracy for arid and semi-arid grasslands and 2) using the minimum of temperature and water stress factors (i.e., min(f(W),f(T))) to represent environmental stress in GRASS-LUE was better than that from the multiplication of temperature and water stress factors (i.e., f(W) x f(T)).
英文关键词	gross primary productivity grassland light use efficiency model water stress fraction of absorbed photosynthetically active radiation aridity gradient
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001161797000001
WOS关键词	GROSS PRIMARY PRODUCTION ; PRIMARY PRODUCTIVITY ; SOLAR-RADIATION ; VEGETATION ; CARBON ; FOREST ; CROPLANDS ; UNCERTAINTY ; RESPONSES ; EXCHANGE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404441
推荐引用方式 GB/T 7714	Ding, Lei,Li, Zhenwang,Xu, Kang,et al. A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands[J],2024,349.
APA	Ding, Lei.,Li, Zhenwang.,Xu, Kang.,Huang, Mengtian.,Shen, Beibei.,...&Chang, Jinfeng.(2024).A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands.JOURNAL OF ENVIRONMENTAL MANAGEMENT,349.
MLA	Ding, Lei,et al."A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands".JOURNAL OF ENVIRONMENTAL MANAGEMENT 349(2024).