Analysis of the desertification dynamics of sandy lands in Northern China over the period 2000?2017
Analysis of the desertification dynamics of sandy lands in Northern China over the period 2000?2017
复制标题
2000—2017年中国北方沙地荒漠化动态分析
DOI：
10.1080/10106049.2019.1678677
复制
发表时间：
2021
影响因子：
3.8
通讯作者：
Yan Jianwu
中科院分区：
文献类型：
--
作者：
Gou Fen;Liang Wei;Sun Shaobo;Jin Zhao;Zhang Weibin;Yan Jianwu
深入研究沙地的环境变化，开展沙漠化评价，阐明沙漠化的形成和恢复机制，具有重要的现实意义。本研究的目的是准确客观地评价沙漠化过程及其驱动因素，并比较不同地区沙漠化过程的差异。利用中分辨率成像光谱仪（MODIS）地表反照率（MCD43A3）和叶面积指数（LAI） （MCD15A2H）产品计算沙漠化分异指数（DDI），揭示2000-2017年中国北方4个沙地的时空变化规律以及沙漠化与降水的相关性。结果表明：研究期间，中国北方沙地沙漠化总程度呈下降趋势；通过对沙漠化程度的分级，发现严重沙漠化和高度沙漠化的下降趋势相对显著（p< 0.05）。各沙地沙漠化程度的空间变化趋势存在显著差异，毛乌素沙地严重沙漠化和高度沙漠化减少面积最大（- 0.042 × 104km2yr - 1和- 0.052 × 104km2yr - 1），而呼伦贝尔沙地各沙漠化程度的年际变化较小（±0.003 × 104km2yr - 1）。大部分地区降水量与DDI呈正相关（p< 0.05）。特别是毛乌素沙地和浑善达克沙地，降水量与DDI正相关的比例面积更为突出，分别占72.9%和63.7%。该研究对干旱半干旱区沙地的有效管理具有重要的决策意义。
It is of great practical significance to thoroughly study the environmental changes and conduct desertification assessments of sandy lands to elucidate the formation and recovery mechanism of desertification. The purpose of this study is to evaluate the desertification process and its driving factors accurately and objectively, and compare the differences of desertification process in different areas. We used Moderate Resolution Imaging Spectroradiometer (MODIS) surface albedo (MCD43A3) and leaf area index (LAI) (MCD15A2H) products to calculate the desertification divided index (DDI) to reveal the spatial-temporal variation regularity of the four sandy lands in northern China during 2000–2017 as well as the correlation between desertification and precipitation. The results showed that the total desertification degree of sandy lands in northern China showed a downward trend during the study period. By grading the desertification level, it was found the decline trend of severe desertification and high desertification was relatively significant (p< 0.05). The spatial trend of the desertification level in sandy lands was significantly different, and the decreased area of severe desertification and high desertification in Mu Us sandy land was the largest (−0.042 × 104km2yr−1and −0.052 × 104km2yr−1), while the interannual variation of the various desertification levels in Hulun Buir sandy land was small (±0.003 × 104km2yr−1). The precipitation and DDI were positively correlated in most areas (p< 0.05). Especially in Mu Us sandy land and Hunshandake sandy land, the proportional area of positive correlation between the precipitation and DDI was more prominent, accounting for 72.9% and 63.7%, respectively. This study had important decision-making significance for the effective management of sandy lands in arid/semiarid areas.