干旱区生态环境知识资源中心(Arid): Quantifying Vegetation Vulnerability to Climate Variability in China

Arid

DOI	10.3390/rs14143491
	Quantifying Vegetation Vulnerability to Climate Variability in China
	Jiang, Liangliang; Liu, Bing; Yuan, Ye
通讯作者	Yuan, Y
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:14
英文摘要	Climate variability has profound effects on vegetation. Spatial distributions of vegetation vulnerability that comprehensively consider vegetation sensitivity and resilience are not well understood in China. Furthermore, the combination of cumulative climate effects and a one-month-lagged autoregressive model represents an advance in the technical approach for calculating vegetation sensitivity. In this study, the spatiotemporal characteristics of vegetation sensitivity to climate variability and vegetation resilience were investigated at seasonal scales. Further analysis explored the spatial distributions of vegetation vulnerability for different regions. The results showed that the spatial distribution pattern of vegetation vulnerability exhibited spatial heterogeneity in China. In spring, vegetation vulnerability values of approximately 0.9 were mainly distributed in northern Xinjiang and northern Inner Mongolia, while low values were scattered in Yunnan Province and the central region of East China. The highest proportion of severe vegetation vulnerability to climate variability was observed in the subhumid zone (28.94%), followed by the arid zone (26.27%). In summer and autumn, the proportions of severe vegetation vulnerability in the arid and humid zones were higher than those in the other climate zones. Regarding different vegetation types, the highest proportions of severe vegetation vulnerability were found in sparse vegetation in different seasons, while the highest proportions of slight vegetation vulnerability were found in croplands in different seasons. In addition, vegetation with high vulnerability is prone to change in Northeast and Southwest China. Although ecological restoration projects have been implemented to increase vegetation cover in northern China, low vegetation resilience and high vulnerability were observed in this region. Most grasslands, which were mainly concentrated on the Qinghai-Tibet Plateau, had high vulnerability. Vegetation areas with low resilience were likely to be degraded in this region. The areas with highly vulnerable vegetation on the Qinghai-Tibet Plateau could function as warning signals of vegetation degradation. Knowledge of spatial patterns of vegetation resilience and vegetation vulnerability will help provide scientific guidance for regional environmental protection.
英文关键词	vegetation sensitivity vegetation resilience vegetation vulnerability China
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:000831830400001
WOS关键词	CENTRAL-ASIA ; RESPONSES ; DROUGHT ; GROWTH ; NDVI ; TEMPERATURE ; SENSITIVITY ; ECOSYSTEMS ; STABILITY ; PHENOLOGY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394178
推荐引用方式 GB/T 7714	Jiang, Liangliang,Liu, Bing,Yuan, Ye. Quantifying Vegetation Vulnerability to Climate Variability in China[J],2022,14(14).
APA	Jiang, Liangliang,Liu, Bing,&Yuan, Ye.(2022).Quantifying Vegetation Vulnerability to Climate Variability in China.REMOTE SENSING,14(14).
MLA	Jiang, Liangliang,et al."Quantifying Vegetation Vulnerability to Climate Variability in China".REMOTE SENSING 14.14(2022).