干旱区生态环境知识资源中心(Arid): Modelling groundwater-dependent vegetation index using Entropy theory

Arid

DOI	10.1016/j.ecolmodel.2019.108916
	Modelling groundwater-dependent vegetation index using Entropy theory
	Zhang, Gengxi 1,2; Su, Xiaoling 1,2; Singh, Vijay P.3,4
通讯作者	Su, Xiaoling
来源期刊	ECOLOGICAL MODELLING
ISSN	0304-3800
EISSN	1872-7026
出版年	2020
卷号	416
英文摘要	An ecosystem is vulnerable to the scarcity of water resources and sparse vegetation cover in arid regions. Groundwater plays an important role in maintaining ecological environment and strongly impacts the ecosystem through influencing vegetation structure and species distribution. It is therefore important to clearly understand the relationship between vegetation patterns and groundwater depth(GWD). In this paper, Tsallis entropy theory was applied to derive a functional relationship between GWD and vegetation distribution. The theory was tested using observed data from arid regions in northwestern China. Results showed that higher vegetation coverage exist at places of shallow GWD. The values of NDVI gradually increase with increasing GWD until reaching a maximum at the optimum depth, after which they decrease with increasing groundwater depth when GWD is less than approximately 10 m. Beyond that depth, a low level of vegetation coverage is maintained. The correlation coefficients between measured and simulated values of NDVI were above 0.9 (p < 0.01) in the Ejina, Qaidam and Hailiutu basins. The theory is applicable to different regions and vegetation types and may improve our ability to sustainably manage land and groundwater resources in arid regions, especially where the vegetation is groundwater-dependent.
英文关键词	Arid ecosystems Tsallis entropy Vegetation index Groundwater depth
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000514022500021
WOS关键词	LOWER REACHES ; TARIM RIVER ; WATER-TABLE ; DEPTH ; PRECIPITATION ; FLUCTUATIONS ; GROWTH ; BASIN
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314366
作者单位	1.Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China; 2.Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China; 3.Texas A&M Univ, Dept Biol & Agr Engn, 2117 TAMU, College Stn, TX 77843 USA; 4.Texas A&M Univ, Zachry Dept Civil Engn, 2117 TAMU, College Stn, TX 77843 USA
推荐引用方式 GB/T 7714	Zhang, Gengxi,Su, Xiaoling,Singh, Vijay P.. Modelling groundwater-dependent vegetation index using Entropy theory[J]. 西北农林科技大学,2020,416.
APA	Zhang, Gengxi,Su, Xiaoling,&Singh, Vijay P..(2020).Modelling groundwater-dependent vegetation index using Entropy theory.ECOLOGICAL MODELLING,416.
MLA	Zhang, Gengxi,et al."Modelling groundwater-dependent vegetation index using Entropy theory".ECOLOGICAL MODELLING 416(2020).