气候变化领域集成服务门户(CCPortal): Conflicting Changes of Vegetation Greenness Interannual Variability on Half of the Global Vegetated Surface

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DOI	10.1029/2023EF004119
	Conflicting Changes of Vegetation Greenness Interannual Variability on Half of the Global Vegetated Surface
	Tian, Jiaqi; Luo, Xiangzhong
发表日期	2024
EISSN	2328-4277
起始页码	12
结束页码	5
卷号	12 期号:5
英文摘要	Changes in the interannual variability (IAV) of vegetation greenness and carbon sequestration are key indicators of the stability and climate sensitivities of terrestrial ecosystems. Recent studies have examined the changes in the vegetation IAV using atmospheric CO2 observations and dynamic global vegetation models (DGVMs), however, reported different and even contradictory IAV trends. Here, we investigate the changes in the IAV of vegetation greenness, quantified as coefficient of variability (CV), over the past few decades based on multiple satellite remote sensing products and DGVMs. Our results suggested that, on half of the global vegetated surface (mostly in the tropics), the CV trends detected by different satellite remote sensing products are conflicting. We found that 22.20% and 28.20% of the global vegetated surface (mostly in the non-tropical land surface) show significant positive and negative CV trends (p <= 0.1), respectively. Regions with higher air temperature and greater aridity tend to have increasing CV trends, whereas greater vegetation greening trend and higher nitrogen deposition lead to smaller CV trends. DGVMs generally cannot capture the CV trends obtained from satellite remote sensing products, while the inconsistency among satellite remote sensing products is likely caused by their process algorithms rather than the sensors utilized. Our study closely examines the changes in the IAV of global vegetation greenness, and highlights substantial uncertainty when using satellite remote sensing to study the response of terrestrial ecosystems to climate change. Vegetation greenness changes year to year in response to climate variability and reflects the stability of ecosystems. How the interannual variability (IAV) of vegetation greenness has changed in the past decades, however, remained uncertain with recent studies reporting conflicting IAV trends using different satellite remote sensing products. Here, we investigated the greenness IAV trends of global vegetation using multiple mainstream satellite remote sensing products. We found that the changes in greenness IAV are conflicting on half of the global vegetated surface, while the differences in background climate, greening trends and nitrogen deposition rates account for either positive or negative trends in greenness IAV on the remaining half of the vegetated surface. On half of the global vegetated surface, the changes in the vegetation greenness interannual variability (IAV) are conflicting 22.20% and 28.20% of the global vegetated surface show significant positive and negative trends of vegetation greenness IAV, respectively Warmer and drier places lead to greater greenness IAV whereas greater greening trend and higher nitrogen deposition make IAV smaller
英文关键词	vegetation greenness; interannual variability; remote sensing; dynamic global vegetation models; climate change
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001208275900001
来源期刊	EARTHS FUTURE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/293007
作者单位	National University of Singapore; National University of Singapore
推荐引用方式 GB/T 7714	Tian, Jiaqi,Luo, Xiangzhong. Conflicting Changes of Vegetation Greenness Interannual Variability on Half of the Global Vegetated Surface[J],2024,12(5).
APA	Tian, Jiaqi,&Luo, Xiangzhong.(2024).Conflicting Changes of Vegetation Greenness Interannual Variability on Half of the Global Vegetated Surface.EARTHS FUTURE,12(5).
MLA	Tian, Jiaqi,et al."Conflicting Changes of Vegetation Greenness Interannual Variability on Half of the Global Vegetated Surface".EARTHS FUTURE 12.5(2024).