Long-Term Dynamics of Sandy Vegetation and Land in North China
文献类型：期刊论文
| 作者 | Wang, Zhaosheng |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 15期号:19页码:4803 |
| 关键词 | sandy land large-scale remote sensing monitoring classification of sand position stability North China |
| DOI | 10.3390/rs15194803 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Owing to the lack of long-term, continuous, large-scale, and high-resolution monitoring data and methods, we still cannot accurately understand the detailed processes of sand change in northern China. To some extent, this hinders the scientific implementation of sand prevention and control actions. To gain a more accurate and detailed understanding of the process of sandy land change, we conducted an investigation using a reconstructed, long-term, continuous, 250 m-high spatial resolution normalized difference vegetation index (NDVI) and fractional vegetation cover (FVC) data from 1982 to 2018 to examine vegetation changes in sandy land in northern China. This study revealed that vegetation activity (NDVI slope = 0.011/a, R2 = 0.148) and vegetation coverage (FVC slope = 0.011/a, R2 = 0.080) in the northern sandy land (NSL) have slowed the desertification trend. The NSL desertification and reverse areas show decreasing and increasing trends, respectively, indicating an improvement in the degree of desertification from 1982 to 2018. Furthermore, we employed a newly proposed sandy classification method to investigate the area changes in mobile, semi-mobile, semi-fixed, and fixed sandy lands. Over the past 37 years, the total NSL area has shown a significantly weak decreasing trend (slope = -0.0009 million km2/year, r = -0.374, p = 0.023), with relatively small changes in the total area. However, the distribution area of large mobile sandy lands has significantly decreased, whereas the area of fixed sandy lands has significantly increased. Additionally, a survey of changes in the location of sandy lands revealed that 71.86% of the distribution of sandy land remained relatively fixed between 1982 and 2018, with only 28.14% of the distribution remaining in an unstable state. Stable mobile and fixed sandy lands accounted for 85.40% and 82.41% of the total area of mobile and fixed sandy lands, respectively, whereas there were more unstable sandy land distribution areas in the semi-mobile and semi-fixed sandy lands. These results indicate the alleviation of NSL desertification. The new sandy classification and monitoring methods proposed in this study will help improve the remote sensing monitoring of large-scale sand dynamics and offer new ideas for monitoring desertification on a large scale using remote sensing techniques. |
| WOS关键词 | DESERTIFICATION ; SENSITIVITY ; PATTERN |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001081214700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/198867]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhaosheng. Long-Term Dynamics of Sandy Vegetation and Land in North China[J]. REMOTE SENSING,2023,15(19):4803. |
| APA | Wang, Zhaosheng.(2023).Long-Term Dynamics of Sandy Vegetation and Land in North China.REMOTE SENSING,15(19),4803. |
| MLA | Wang, Zhaosheng."Long-Term Dynamics of Sandy Vegetation and Land in North China".REMOTE SENSING 15.19(2023):4803. |
入库方式： OAI收割
来源：地理科学与资源研究所
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