Trend Analysis and Driving Factors of Vegetation Dynamics in Northern China from 1982 to 2015
文献类型：期刊论文
| 作者 | Sun, Rui2,3; Chen, Shaohui3; Su, Hongbo1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 14期号:23页码:22 |
| 关键词 | GIMMS NDVI3g vegetation growth ensemble empirical mode decomposition (EEMD) method climate change human activities |
| DOI | 10.3390/rs14236163 |
| 通讯作者 | Chen, Shaohui(chensh@igsnrr.ac.cn) |
| 英文摘要 | Under the background of global warming, understanding the dynamic of vegetation plays a key role in revealing the structure and function of an ecosystem. Assessing the impact of climate change and human activities on vegetation dynamics is crucial for policy formulation and ecological protection. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological data and land cover data, this study analyzed the linear and nonlinear trends of vegetation in northern China from 1982 to 2015, and quantified the relative impact of climate change and human activities on vegetation change. The results showed that more than 53% of the vegetation had changed significantly, and 36.64% of the vegetation had a reverse trend. There were potential risks of vegetation degradation in the southwestern, northwestern and northeastern parts of the study's area. The linear analysis method cannot disclose the reversal of the vegetation growth trend, which will underestimate or overestimate the risk of vegetation degradation or restoration. Climate change and human activities promoted 76.54% of the vegetation growth in the study area, with an average contribution rate of 51.22% and 48.78%, respectively, while the average contribution rate to the vegetation degradation area was 47.43% and 52.57%, respectively. Vegetation restoration of grassland and woodland was mainly affected by climate change, and human activities dominated their degradation, while cropland vegetation was opposite. The contribution rate of human activities to vegetation change in the southeastern and eastern parts of the study area was generally higher than that of climate change, but it was the opposite in the high altitude area, with obvious spatial heterogeneity. These results are helpful to understand the dynamic mechanism of vegetation in northern China, and provide a scientific basis for vegetation restoration and protection of regional ecosystems. |
| WOS关键词 | EMPIRICAL MODE DECOMPOSITION ; CLIMATE-CHANGE ; LOESS PLATEAU ; IMPACTS ; GROWTH ; REGION ; RESTORATION ; RESPONSES ; RUNOFF ; NDVI3G |
| 资助项目 | National Key Research and Development Program of China ; National Natural Science Foundation of China[2021YFC3201102] ; Second Tibetan Plateau Scientific Expedition and Research Program[U2003105] ; Strategic Priority Research Program A of the Chinese Academy of Sciences[2019QZKK1003] ; [XDA20010301] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000897342600001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Strategic Priority Research Program A of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188068]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Shaohui |
| 作者单位 | 1.Florida Atlantic Univ, Dept Civil Environm & Geomatics Engn, Boca Raton, FL 33431 USA 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Rui,Chen, Shaohui,Su, Hongbo. Trend Analysis and Driving Factors of Vegetation Dynamics in Northern China from 1982 to 2015[J]. REMOTE SENSING,2022,14(23):22. |
| APA | Sun, Rui,Chen, Shaohui,&Su, Hongbo.(2022).Trend Analysis and Driving Factors of Vegetation Dynamics in Northern China from 1982 to 2015.REMOTE SENSING,14(23),22. |
| MLA | Sun, Rui,et al."Trend Analysis and Driving Factors of Vegetation Dynamics in Northern China from 1982 to 2015".REMOTE SENSING 14.23(2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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