Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling

doi:10.1016/j.agrformet.2021.108354

	Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling
	Zhang, Linlin 1,2; Gao, Jiangbo 1; Tang, Ze 2,3; Jiao, Kewei 4
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2021-05-15
卷号	301 页码:11
关键词	Adaptation Drought Ecosystem vulnerability Forests Grasslands Sensitivity
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2021.108354
通讯作者	Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要	Quantifying drought-induced ecosystem vulnerability, e.g. in terms of plant productivity, based on vulnerability curves and coupled processes is a frontier issue and a challenge in the field of climate change risk. Primary productivity vulnerability to drought varies among and within ecosystem types, obscuring generalized patterns of ecological stability. Thus, we constructed drought vulnerability curves between aboveground net primary productivity (ANPP) and drought intensity for forest and grassland, through global data collection, bias checking, and systematic integration. Based on the improvement of theoretical analysis of ecosystem vulnerability and quantitative evaluation methods, we investigated the processes of sensitivity and adaptation to reveal vulnerability mechanisms. The ANPP was nonlinearly reduced along with drought intensity gradients, with an increasing trend for forests and a decreasing trend for grasslands. Under the same drought duration, both the forest and grassland ANPP decreased with increasing intensities (from light to severe drought). However, the forest and grassland ANPP exhibited divergent responses with durations under the same drought intensity. The combinations of drought duration and intensities also affected the ANPP. For example, negative responses of the grassland ANPP to increasing intensities differed among the durations (p = 0.001) and maximum occurred under the severe drought. Furthermore, we quantified the vulnerability by analyzing sensitivity and adaptation to short- (<= 3years) and long-term (> 3 years) drought. Grasslands showed higher sensitivity to short-term drought than to long-term drought, and the contrary for forests. Forests exhibited a certain adaptation to long-term drought, but to a lesser extent than grasslands. Comprehensively, grasslands presented lower vulnerability to growing-season drought with higher adaptation and lower sensitivity than forests. These findings suggest that quantitative assessment on ecosystem response to drought from the viewpoints of vulnerability curves and processes should be promoted in and coupled with future climate change risks and sustainable management of different ecosystems.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20020202] ; National Natural Science Foundation of China[42071288] ; National Natural Science Foundation of China[41671098] ; Programme of Keizhen-Bingwei Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2020RC002] ; National Key R&D Program of China[2018YFC1508801] ; National Key R&D Program of China[2018YFC1508900]
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000635675800016
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Programme of Keizhen-Bingwei Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; National Key R&D Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161862]
专题	中国科学院地理科学与资源研究所
通讯作者	Gao, Jiangbo
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Linlin,Gao, Jiangbo,Tang, Ze,et al. Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,301:11.
APA	Zhang, Linlin,Gao, Jiangbo,Tang, Ze,&Jiao, Kewei.(2021).Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling.AGRICULTURAL AND FOREST METEOROLOGY,301,11.
MLA	Zhang, Linlin,et al."Quantifying the ecosystem vulnerability to drought based on data integration and processes coupling".AGRICULTURAL AND FOREST METEOROLOGY 301(2021):11.