Zongfan Bai, Ling Han, Huiqun Liu, Xuhai Jiang, Liangzhi Li
School of Land Engineering, Chang'an University, Xi'an, 710054, China.
School of Geological Engineering and Geomatics, Chang'an University, Xi'an, 710054, China.
Environ Sci Pollut Res Int. 2023 Apr;30(18):52593-52608. doi: 10.1007/s11356-023-25948-z. Epub 2023 Feb 25.
Remote sensingmonitoring of regional ecological quality has advanced significantly with the rapid developments of remote sensing technology. At present, remote sensing ecological index (RSEI) has been widely used in ecological status monitoring. However, RSEI was proposed for urban environments, and the rationality and accuracy of its applicability to desert-dominated arid region ecosystems need to be demonstrated. Therefore, in this study, we incorporated desertification monitoring index (DMI) and salinity monitoring index (SMI) to RSEI and developed the modified remote sensing ecological index (MRSEI) for arid regions. Moreover, we analyzed the stability of MRSEI in ecological status monitoring for arid regions. The MRSEI was then used to evaluate the ecological quality of Inner Mongolia from 2000 to 2020 and exploring its causes. The results show that (1) Although the evaluation results of RSEI and MRSEI are more consistent in areas with high ecological status grades, the MRSEI results are more cautious and reliable in extreme conditions (e.g., desertification, salinization) than the RSEI. (2) Approximately 87.66% of ecological quality have improved or remain stable from 2000 to 2020, but the remaining areas (accounting for 12.34% of the whole area) are still under degraded conditions. This demonstrates that although local governments have made some progress in ecological conservation, the areas that are fluctuating or degraded still require protection or management. (3) In Inner Mongolia, the ecological quality which drove by precipitation (P) & temperature (T) accounting for 26.67% of the study area, population density (D) and GDP per capita (G) affected 13.23% of regional ecological quality. Overall, this research is crucial for evaluating spatial and temporal changes in arid region ecology and establishing conservation strategies.
随着遥感技术的迅速发展，区域生态质量的遥感监测取得了显著进展。目前，遥感生态指数（RSEI）已广泛应用于生态状况监测。然而，RSEI是针对城市环境提出的，其应用于以沙漠为主的干旱地区生态系统的合理性和准确性有待论证。因此，在本研究中，我们将荒漠化监测指数（DMI）和盐度监测指数（SMI）纳入RSEI，开发了适用于干旱地区的改进型遥感生态指数（MRSEI）。此外，我们分析了MRSEI在干旱地区生态状况监测中的稳定性。然后，利用MRSEI对内蒙古2000年至2020年的生态质量进行评估并探究其成因。结果表明：（1）虽然RSEI和MRSEI在生态状况等级较高的地区评估结果较为一致，但在极端条件下（如荒漠化、盐碱化），MRSEI的结果比RSEI更为谨慎和可靠。（2）2000年至2020年，约87.66%的生态质量得到改善或保持稳定，但其余地区（占总面积的12.34%）仍处于退化状态。这表明，尽管地方政府在生态保护方面取得了一些进展，但仍有波动或退化的地区需要保护或管理。（3）在内蒙古，受降水（P）和温度（T）驱动的生态质量占研究区域的26.67%，人口密度（D）和人均GDP（G）影响区域生态质量的13.23%。总体而言，本研究对于评估干旱地区生态的时空变化以及制定保护策略至关重要。
