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Spatial-temporal changes in vegetation coverage in the global coastal zone based on GIMMS NDVI3g data

文献类型：期刊论文

作者Hou, W; Hou, XY
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2020-02-01
卷号41期号:3页码:1118-1138
关键词MANN-KENDALL TREND TEST SATELLITE GROWTH PLATEAU DIFFERENCE RESPONSES DYNAMICS DRIVERS DECADES
ISSN号0143-1161
DOI10.1080/01431161.2019.1657603
产权排序[Hou, Wan ; Hou, Xiyong] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China ; [Hou, Wan] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China ; [Hou, Wan ; Hou, Xiyong] Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China
文献子类Article
英文摘要In this paper, we used the Global Inventory Modelling and Mapping Studies (GIMMS) third-generation Normalized Difference Vegetation Index (NDVI) (GIMMS NDVI3g) dataset. Based on GIMMS NDVI3g data over the global coastal zone from 1982 to 2014, the spatial-temporal characteristics of vegetation coverage were analysed by plotting the spatial pattern and monthly calendar of NDVI; furthermore, historical trends and future evolutions of vegetation coverage change at the pixel scale were studied by performing the Mann-Kendall trend test and calculating the trend slope (beta) and Hurst index (H) of NDVI. The main findings are as follows: 1) Vegetation density exhibits dramatic differences in the global coastal zone. Specifically, desert belts mostly have perennial non-vegetation or low vegetation coverage, and tundra belts principally have moderate or high vegetation coverage; additionally, forest belts mainly have dense vegetation coverage. 2) In the global coastal zone, intra-annual variations in vegetation coverage show a 'boolean AND'-shaped curve with an obvious peak from June to September (maximum in July or August), while inter-annual variations show a fluctuating but generally slowly increasing trend over the entire study period; accordingly, variations in different subregions show significant differences. 3) At monthly, seasonal and annual scales, the overall vegetation coverage increases in the global coastal zone, while there are relatively few areas with decreasing vegetation coverage; furthermore, change trends of vegetation coverage in most areas will demonstrate relatively strong positive persistence in the future. 4) The increasing trend in high-latitude coastal tundra is extremely significant in the growing season because vegetation in the tundra belts is highly sensitive to climate change. 5) Areas with a decreasing trend of vegetation coverage exhibit spatial patterns of aggregation in the 'circum urban agglomeration' and 'nearby desert belt' regions, that is, the decreasing trend of vegetation coverage is relatively high in coastal urban agglomeration areas and desert belt peripheries. This paper is expected to provide knowledge to support vegetation conservation, ecosystem management, integrated coastal zone management and climate change adaptation in coastal areas.
WOS关键词MANN-KENDALL ; TREND TEST ; SATELLITE ; GROWTH ; PLATEAU ; DIFFERENCE ; RESPONSES ; DYNAMICS ; DRIVERS ; DECADES
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000483750300001
资助机构Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA19060205] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [31461143032]
源URL[http://ir.yic.ac.cn/handle/133337/24881]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位1.Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China;
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China;
推荐引用方式
GB/T 7714		 Hou, W,Hou, XY. Spatial-temporal changes in vegetation coverage in the global coastal zone based on GIMMS NDVI3g data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2020,41(3):1118-1138.
APA Hou, W,&Hou, XY.(2020).Spatial-temporal changes in vegetation coverage in the global coastal zone based on GIMMS NDVI3g data.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(3),1118-1138.
MLA Hou, W,et al."Spatial-temporal changes in vegetation coverage in the global coastal zone based on GIMMS NDVI3g data".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.3(2020):1118-1138.

入库方式： OAI收割

来源：烟台海岸带研究所

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