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Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China

文献类型：期刊论文

作者Guo, Linghui1; Zuo, Liyuan4; Gao, Jiangbo3,4; Jiang, Yuan4; Zhang, Yongling2; Ma, Shouchen1; Zou, Youfeng1; Wu, Shaohong4
刊名REMOTE SENSING
出版日期2020-04-02
卷号12期号:8页码:17
关键词Inner Mongolia normalized difference vegetation index (NDVI) interannual variability coefficient of variation
DOI10.3390/rs12081332
通讯作者Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要An understanding of the response of interannual vegetation variations to climate change is critical for the future projection of ecosystem processes and developing effective coping strategies. In this study, the spatial pattern of interannual variability in the growing season normalized difference vegetation index (NDVI) for different biomes and its relationships with climate variables were investigated in Inner Mongolia during 1982-2015 by jointly using linear regression, geographical detector, and geographically weighted regression methodologies. The result showed that the greatest variability of the growing season NDVI occurred in typical steppe and desert steppe, with forest and desert most stable. The interannual variability of NDVI differed monthly among biomes, showing a time gradient of the largest variation from northeast to southwest. NDVI interannual variability was significantly related to that of the corresponding temperature and precipitation for each biome, characterized by an obvious spatial heterogeneity and time lag effect marked in the later period of the growing season. Additionally, the large slope of NDVI variation to temperature for desert implied that desert tended to amplify temperature variations, whereas other biomes displayed a capacity to buffer climate fluctuations. These findings highlight the relationships between vegetation variability and climate variability, which could be used to support the adaptive management of vegetation resources in the context of climate change.
WOS关键词GRASSLAND VEGETATION ; ECOSYSTEM STABILITY ; DYNAMICS ; AUTOCORRELATION ; TEMPERATURE ; COMMUNITY ; RESPONSES ; RICHNESS ; RAINFALL ; GROWTH
资助项目Natural Science Foundation of China[41601580] ; Natural Science Foundation of China[41671098] ; Natural Science Foundation of China[U1904210] ; National Key Research and Development Program of China[2017YFD0301106-1] ; National Key Research and Development Program of China[2018YFC1508900] ; National Key Research and Development Program of China[2018YFC1508801] ; Research Projects of Land and Resources in Henan Province[20190450-7] ; Innovative Research Team of Henan Polytechnic University[T2018-4] ; Doctor Foundation of Henan University of Technology[B2015-22]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000534628800105
出版者MDPI
资助机构Natural Science Foundation of China ; National Key Research and Development Program of China ; Research Projects of Land and Resources in Henan Province ; Innovative Research Team of Henan Polytechnic University ; Doctor Foundation of Henan University of Technology
源URL[http://ir.igsnrr.ac.cn/handle/311030/159544]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Gao, Jiangbo
作者单位1.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China
2.Henan Polytech Univ, Emergency Management Sch, Jiaozuo 454000, Henan, Peoples R China
3.Acad Plateau Sci & Sustainabil, Xining 810016, Qinghai, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Linghui,Zuo, Liyuan,Gao, Jiangbo,et al. Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China[J]. REMOTE SENSING,2020,12(8):17.
APA Guo, Linghui.,Zuo, Liyuan.,Gao, Jiangbo.,Jiang, Yuan.,Zhang, Yongling.,...&Wu, Shaohong.(2020).Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China.REMOTE SENSING,12(8),17.
MLA Guo, Linghui,et al."Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China".REMOTE SENSING 12.8(2020):17.

入库方式： OAI收割

来源：地理科学与资源研究所

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