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干旱地区绿洲生态安全模式的动态监测:基于遥感的生态指数演变分析

Longlong Zhang¹, Jiaqi Zhai², Fan He¹

¹State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.

Scientific reports

|December 10, 2025

概括

降水对干旱地区的绿洲生态环境质量 (EEQ) 产生重大影响,确定了降水和灌的关键值. 了解这些驱动因素是土地退化中立的关键.

科学领域:

生态生态学生态生态学
环境科学环境科学
遥感遥感遥感遥感

背景情况:

干旱地区的绿洲是提供基本服务的关键生态系统,如资源可用性和生物多样性保护.
人类活动和气候变化对这些地区生态环境质量 (EEQ) 的具体影响需要进一步的定量理解.

研究的目的:

评估2000年至2022年中国三个干灌绿洲 (河,宁夏,明) EEQ的演变.
确定影响EEQ动态的主要驱动因素和关键值.

主要方法:

利用谷歌地球引擎开发了一个远程传感生态指数 (RSEI),集成多维指标.
使用可解释机器学习的Shapley增量解释 (SHAP) 来确定EEQ的驱动因素.
为生态系统变化确定了降水量 (PRE) 和灌量 (IV) 的关键值.

主要成果:

降水被确定为EEQ的主要驱动因素,在研究的绿洲中具有显著的SHAP值.
生态系统增强的临界值被确定为PRE每年164毫米,IV每年1218毫米.
大多数RSEI值 (99%) 表示生态质量中低,空间差异:明的稳定性,宁夏的改善,赫塔奥的下降.
生态补水对RSEI产生了积极影响,而城市化和草原退化产生了负面影响.

结论:

建立了一个决策框架,以基于门驱动的洞察力优化生态恢复项目.
强调这些发现对于在全球干旱地区实现土地退化中立的重要性.

关键词:

干旱的灌绿洲是干旱的灌绿洲.美国EEQ的EEQ.可以解释的机器学习这里是RSEII.沙普利添加剂的解释

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