| 2000~2022年内蒙古生境质量时空演变及驱动力分析 |
| 摘要点击 174 全文点击 9 投稿时间：2024-07-13 修订日期：2024-08-23 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 生境质量 多尺度地理加权回归模型（MGWR） 遥感生态指数（RSEI） 驱动因素 内蒙古 |
| 英文关键词 habitat quality multi-scale geographically weighted regression model （MGWR） remote sensing ecological index （RSEI） driving factors Inner Mongolia |
|
| 中文摘要 |
| 内蒙古的生态环境是中国生态文明建设的重要组成部分. 基于GEE和MODIS数据构建了内蒙古2000~2022年的遥感生态指数（RSEI）年尺度长时间序列. 结合Theil-sen&Mann-Kendall趋势检验、Hurst和莫兰指数，全面分析内蒙古生境质量的时空演变格局，并利用地理探测器和多尺度地理加权回归模型（MGWR）从空间分异角度量化RSEI的影响因素. 结果表明：①23 a间内蒙古生境质量虽有改善但整体较差，生境质量年增长速率为0.000 6 a-1，呈不显著上升趋势（P>0.05），空间上由东北向西南递减；②过去23 a生境质量改善的区域占62.90%，未来变化趋势将以持续性退化为主，但有9.16%的区域将得到改善；③RSEI的空间分布呈高度正相关，东部主要呈高高聚集，而西部主要呈低低聚集分布；④内蒙古生境质量主要受气温、降水量、蒸发量、高程和土地利用的影响，它们之间的相互作用比单一因素具有更强的解释力；⑤各驱动因子对RSEI空间分异的解释力存在显著差异，表明不同因素主导了不同区域RSEI的差异，因此分区管理对于实现生境质量的可持续发展至关重要. |
| 英文摘要 |
| The ecological environment of Inner Mongolia plays a significant role in the construction ecological community of northern China. Utilizing Google earth engine （GEE） and MODIS data， this study developed the annual remote sensing ecological index （RSEI） long time-series for Inner Mongolia from 2000 to 2022. Combined with the Theil-sen & Mann-Kendall trend test and Hurst and Moran's I， the spatial and temporal evolution pattern of habitat quality in Inner Mongolia was comprehensively analyzed， and the influencing factors of RSEI were quantified from the perspective of spatial differentiation by using a geographical detector and a multi-scale geographically weighted regression model （MGWR）. The results indicated： ① There was a slight improvement in habitat quality in Inner Mongolia over the past 23 years， although the overall quality remains low. The annual growth rate was 0.0006 a-1 （P>0.05）， showing a nonsignificant upward trend and spatially decreasing from northeast to southwest. ② Improved habitat quality areas over the past 23 years made up 62.90% of the region， with a future trend likely dominated by continued degradation. Although 9.16% of the area is expected to see improvement. ③ The global Moran's I exceeded 0.9240， signifying a high positive spatial correlation in RSEI distribution. The eastern region predominantly exhibited high-high clustering， whereas the western region showed low-low clustering. ④ The habitat quality of Inner Mongolia was mostly affected by temperature， precipitation， evaporation， elevation， and land use， and the interaction between them had stronger explanatory power than a single factor. ⑤ The explanatory power of various driving factors significantly varied across regions， with each playing a dominant role in the spatial differentiation of RSEI. Therefore， zoning management is essential for achieving sustainable habitat quality. |
