Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework

doi:10.1016/j.catena.2020.104879

	Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework
	Wang, Lu 1,2; Huang, Shengzhi 2; Huang, Qiang 2; Leng, Guoyong 3; Han, Zhiming 2; Zhao, Jing 2; Guo, Yi 2
刊名	CATENA
	2021
卷号	196 页码:9
关键词	Vegetation Vulnerability Resistance Hydrometeorological stresses Bayesian framework
ISSN号	0341-8162
DOI	10.1016/j.catena.2020.104879
通讯作者	Huang, Shengzhi(huangshengzhi7788@126.com)
英文摘要	Comprehensively assessing vegetation vulnerability and resistance in response to a changing environment is crucial for developing vegetation restoration. Unlike previous studies only focusing on the influence of hydrometeorological elements on vegetation in a few specific scenarios, a Bayesian framework was adopted to examine the likelihood of vegetation loss under a number of scenarios in this study. Precipitation (PRE), root soil moisture (RSM) and terrestrial water storage anomalies (TWSA) are considered as different hydrometeorological disturbances, and the Normalized Difference Vegetation Index (NDVI) is applied to characterize vegetation condition. Two famous watersheds including the water-limited Yellow River basin (YRB) and energy-limited Pearl River basin (PRB) in China were selected as a case study. Results indicate that: (1) the vegetation both of two basins is most vulnerable to the PRE stresses, and the vegetation vulnerability in water-limited watershed under the PRE stresses is the highest, followed by the RSM and the TWSA, while the vegetation vulnerability to the PRE, RSM and TWSA stresses are similar in energy-limited watersheds; (2) the vegetation resistance to the PRE stresses is different in water- and energy-limited watersheds, and the vegetation of the water-limited watershed is not as resistant as that in the energy-limited watershed. This study underscores that vegetation of semi-arid and semi-humid regions (YRB) response to hydrometeorological elements changes is more sensitive than that of humid areas (PRB) in the context of global warming. Generally, the proposed framework also has a great potential to be applied for assessment of vegetation sensitivity in other regions worldwide. This study shows new insights into quantifying vegetation vulnerability and resistance, which is valuable for vegetation restoration and ecological protection.
资助项目	National Natural Science Foundation of China[51709221] ; China Postdoctoral Science Foundation[2018 M640155] ; National Key Research and Development Program of China[2017YFC0405900] ; Key laboratory research projects of the education department of Shaanxi province[17JS104] ; Planning Project of Science and Technology of Water Resources of Shaanxi[2015slkj-27] ; Planning Project of Science and Technology of Water Resources of Shaanxi[2017slkj-19] ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)[IWHR-SKL-KF201803]
WOS关键词	CLIMATE-CHANGE ; YELLOW-RIVER ; DROUGHT ; PLATEAU ; CHINA ; MODEL ; GRACE ; BASIN
WOS研究方向	Geology ; Agriculture ; Water Resources
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000583955200040
资助机构	National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; National Key Research and Development Program of China ; Key laboratory research projects of the education department of Shaanxi province ; Planning Project of Science and Technology of Water Resources of Shaanxi ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156397]
专题	中国科学院地理科学与资源研究所
通讯作者	Huang, Shengzhi
作者单位	1.Beijing IWHR Corp, Beijing 100048, Peoples R China 2.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wang, Lu,Huang, Shengzhi,Huang, Qiang,et al. Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework[J]. CATENA,2021,196:9.
APA	Wang, Lu.,Huang, Shengzhi.,Huang, Qiang.,Leng, Guoyong.,Han, Zhiming.,...&Guo, Yi.(2021).Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework.CATENA,196,9.
MLA	Wang, Lu,et al."Vegetation vulnerability and resistance to hydrometeorological stresses in water- and energy-limited watersheds based on a Bayesian framework".CATENA 196(2021):9.