气候变化领域集成服务门户(CCPortal): Increasing interannual variability of global vegetation greenness

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DOI	10.1088/1748-9326/ab4ffc
	Increasing interannual variability of global vegetation greenness
	Chen C.; He B.; Yuan W.; Guo L.; Zhang Y.
发表日期	2019
ISSN	17489318
卷号	14 期号:12
英文摘要	Despite the long-term greening trend in global vegetation identified in previous investigations, changes in the interannual variability (IAV) of vegetation greenness over time is still poorly understood. Using Global Inventory Modeling and Mapping Studies normalized difference vegetation index (NDVI) third generation data and corresponding meteorological data from 1982 to 2015, we studied the changes and drivers of the IAV of vegetation greenness as indicated by the coefficient of variation of vegetation greenness at a global scale. Dry and high-latitude areas exhibited high NDVI variability whereas humid areas exhibited relatively low NDVI variability. We detected an increase in the global IAV of vegetation greenness over time using a 15 year moving window. Spatially, we observed significant increases in the IAV of vegetation greenness in greater than 45% of vegetated areas globally and decreases in 21%. Our comparison of ecological models suggests good performance in terms of simulating spatial differences in vegetation variability, but relatively poor performance in terms of capturing changes in the IAV of vegetation greenness. Furthermore, the dominant climate variables controlling changes in the IAV of vegetation greenness were determined spatially using principal component regression and partial least squares regression. The two methods yielded similar patterns, revealing that temperature exerted the biggest influence on changes in the IAV of vegetation greenness, followed by solar radiation and precipitation. This study provides insights into global vegetation variability which should contribute to an understanding of vegetation dynamics in the context of climate change. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	global; increase; interannual variability; vegetation greenness
语种	英语
scopus关键词	Climate change; Least squares approximations; Coefficient of variation; global; increase; Interannual variability; Normalized difference vegetation index; Partial least squares regression; Principal component regression; Vegetation greenness; Vegetation; annual variation; climate change; greenspace; NDVI; solar radiation; vegetation type
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154328
作者单位	State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China; School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou, China; Academy of Disaster Reduction and Emergency Management, School of Geography, Beijing Normal University, Beijing, 100875, China
推荐引用方式 GB/T 7714	Chen C.,He B.,Yuan W.,et al. Increasing interannual variability of global vegetation greenness[J],2019,14(12).
APA	Chen C.,He B.,Yuan W.,Guo L.,&Zhang Y..(2019).Increasing interannual variability of global vegetation greenness.Environmental Research Letters,14(12).
MLA	Chen C.,et al."Increasing interannual variability of global vegetation greenness".Environmental Research Letters 14.12(2019).