Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China
文献类型：期刊论文
| 作者 | Guo, Yahui2,3; Zeng, Jing1; Wu, Wenxiang2; Hu, Shunqiang1; Liu, Guangxu4; Wu, Linsheng5; Bryant, Christopher Robin6,7 |
| 刊名 | FORESTS
 |
| 出版日期 | 2021 |
| 卷号 | 12期号:1页码:17 |
| 关键词 | NDVI vegetation Savitzky– Golay filtering spatial and temporal analysis Ruoergai area |
| DOI | 10.3390/f12010076 |
| 通讯作者 | Wu, Wenxiang(wuwx@igsnrr.ac.cn) |
| 英文摘要 | Timely monitoring of the changes in coverage and growth conditions of vegetation (forest, grass) is very important for preserving the regional and global ecological environment. Vegetation information is mainly reflected by its spectral characteristics, namely, differences and changes in green plant leaves and vegetation canopies in remote sensing domains. The normalized difference vegetation index (NDVI) is commonly used to describe the dynamic changes in vegetation, but the NDVI sequence is not long enough to support the exploration of dynamic changes due to many reasons, such as changes in remote sensing sensors. Thus, the NDVI from different sensors should be scientifically combined using logical methods. In this study, the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI from the Advanced Very High Resolution Radiometer (AVHRR) and Moderate-resolution Imaging Spectroradiometer (MODIS) NDVI are combined using the Savitzky-Golay (SG) method and then utilized to investigate the temporal and spatial changes in the vegetation of the Ruoergai wetland area (RWA). The dynamic spatial and temporal changes and trends of the NDVI sequence in the RWA are analyzed to evaluate and monitor the growth conditions of vegetation in this region. In regard to annual changes, the average annual NDVI shows an overall increasing trend in this region during the past three decades, with a linear trend coefficient of 0.013/10a, indicating that the vegetation coverage has been continuously improving. In regard to seasonal changes, the linear trend coefficients of NDVI are 0.020, 0.021, 0.004, and 0.004/10a for spring, summer, autumn, and winter, respectively. The linear regression coefficient between the gross domestic product (GDP) and NDVI is also calculated, and the coefficients are 0.0024, 0.0015, and 0.0020, with coefficients of determination (R-2) of 0.453, 0.463, and 0.444 for Aba, Ruoergai, and Hongyuan, respectively. Thus, the positive correlation coefficients between the GDP and the growth of NDVI may indicate that increased societal development promotes vegetation in some respects by resulting in the planting of more trees or the promotion of tree protection activities. Through the analysis of the temporal and spatial NDVI, it can be assessed that the vegetation coverage is relatively large and the growth condition of vegetation in this region is good overall. |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20020202] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040101] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304] |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000610999000001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136281]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Wenxiang |
| 作者单位 | 1.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, 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.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China 4.Gannan Normal Univ, Sch Geog & Environm Engn, Ganzhou 341000, Peoples R China 5.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China 6.Univ Guelph, Sch Environm Design & Rural Dev, Guelph, ON N1G2W5, Canada 7.Univ Montreal, Dept Geog, Montreal, PQ H2V2B8, Canada |
| 推荐引用方式 GB/T 7714 | Guo, Yahui,Zeng, Jing,Wu, Wenxiang,et al. Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China[J]. FORESTS,2021,12(1):17. |
| APA | Guo, Yahui.,Zeng, Jing.,Wu, Wenxiang.,Hu, Shunqiang.,Liu, Guangxu.,...&Bryant, Christopher Robin.(2021).Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China.FORESTS,12(1),17. |
| MLA | Guo, Yahui,et al."Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China".FORESTS 12.1(2021):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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