Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China
Guo, Linghui1; Zuo, Liyuan2; Gao, Jiangbo2,3; Jiang, Yuan2; Zhang, Yongling4; Ma, Shouchen1; Zou, Youfeng1; Wu, Shaohong2
刊名REMOTE SENSING
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.
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关键词GRASSLAND VEGETATION ; ECOSYSTEM STABILITY ; DYNAMICS ; AUTOCORRELATION ; TEMPERATURE ; COMMUNITY ; RESPONSES ; RICHNESS ; RAINFALL ; GROWTH
WOS研究方向Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000534628800105
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
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/159544]  
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.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Acad Plateau Sci & Sustainabil, Xining 810016, Qinghai, Peoples R China
4.Henan Polytech Univ, Emergency Management Sch, Jiaozuo 454000, Henan, 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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace