生态环境质量变化的响应机制在时空空间尺度上的多因素合
Xi Chen1,2, Yuqing Fang1, Yufeng He3
1School of Geographic Information and Tourism, Chuzhou University, Chuzhou, 239000, China.
Scientific reports
|August 19, 2025
概括
安省的生态环境质量在过去20年里有所改善. 遥感和地质探测器模型中的地方适应性揭示了政策措施是关键的时间驱动因素,而地形和人类活动是空间驱动因素.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 地理信息系统
背景情况:
- 遥感生态指数 (RSEI) 对于评估区域生态环境质量 (EEQ) 至关重要.
- 量化EEQ对多因素合的反应提出了重大挑战.
- 了解EEQ的空间和时间驱动因素对于有效的环境管理至关重要.
研究的目的:
- 使用改进的RSEI方法分析EEQ的时空分布模式.
- 在多因素合下识别EEQ变化的驱动机制.
- 为安省和类似地区的EEQ增强提供理论基础.
主要方法:
- 采用了改进的远程传感生态指数与局部适应性 (RSEILA) 方法.
- 利用谷歌地球引擎平台进行时空空间分析.
- 应用了地球探测器模型来识别多因素合驱动器.
主要成果:
- 在过去的二十年中,EEQ显示出一致的中等至良好水平和改善趋势.
- 安省的RSEILA分布在南部呈现较高的值,在北部呈现较低的值.
- 政策措施是主要的时间驱动因素,而地形和人类活动是EEQ变化的主要空间驱动因素.
结论:
- 在RSEILA方法有效地捕捉EEQ动态和驱动因素.
- EEQ受到时间和空间因素的复杂相互作用的影响.
- 这些发现支持基于证据的生态环境管理策略.
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