Hou, W; Hou, XY
发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
2020-02-01
卷号41期号:3页码:1118-1138
关键词MANN-KENDALLTREND TESTSATELLITEGROWTHPLATEAUDIFFERENCERESPONSESDYNAMICSDRIVERSDECADES
研究领域Remote Sensing; Imaging Science & Photographic Technology
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
通讯作者Hou, Xiyong(xyhou@yic.ac.cn)
作者部门海岸带信息集成与综合管理实验室
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.
文章类型Article
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]
收录类别SCI
语种英语
关键词[WOS]MANN-KENDALL; TREND TEST; SATELLITE; GROWTH; PLATEAU; DIFFERENCE; RESPONSES; DYNAMICS; DRIVERS; DECADES
研究领域[WOS]Remote Sensing; Imaging Science & Photographic Technology
WOS记录号WOS:000483750300001
引用统计被引频次：5[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24881
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
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, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China;
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China;
3.Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China
推荐引用方式
GB/T 7714Hou, 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.
APAHou, 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.
MLAHou, 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.
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