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在中国阿克苏河流域植物覆盖及其驱动因素的空间和时间变化的分析,中国

Yongkang Ding^1,2,3,4, Yuqing Feng^1,2,3,4, Kang Chen^5,6,7,8,9

¹School of Water Resources and Environment, Hebei GEO University, Shijiazhuang, 050031, China.

Scientific reports

|May 3, 2024

概括

从2000年到2019年,阿克苏河流域的植被覆盖面显著增加,这是由土地利用,土壤水分和人类活动推动的. 预计未来的植被生长将有所改善,有助于生态监测和荒漠化控制.

科学领域:

生态与环境科学生态与环境科学
遥感和地理空间分析
干旱的生态系统动力学

背景情况:

了解干旱地区的植被动态对于生态系统管理和打击荒漠化至关重要.
遥感数据为长期植被覆盖变化和影响因素提供了宝贵的见解.

研究的目的:

分析从2000年到2019年在阿克苏河流域的时空植被覆盖的变化.
识别和量化影响植被动态的自然和人为驱动因素.
预测未来的植被变化趋势,并评估驱动因素的影响.

主要方法:

使用月度MOD13Q1遥感数据 (250米分辨率) 进行植被分析.
使用一维线性回归,曼-肯德尔测试和赫斯特指数进行趋势分析和预测.
应用了地质探测器模型来量化11个自然和人为因素对NDVI变化的影响.

主要成果:

阿克苏河流域的总体植被覆盖面从2000年到2019年显示出显著的增长趋势.
土地使用类型,土壤湿度,表面温度和潜在的蒸汽分散被确定为NDVI变化的主要驱动因素.
因素之间的相互作用,特别是土地使用类型与其他因素之间的相互作用,显著扩大了它们对植被覆盖的影响;土壤水分和人类活动对植被生长产生了积极的影响.

结论:

阿克苏河流域正在经历显著的植被改善,未来的趋势表明持续增长.
对土地利用,气候变量和人类活动的综合分析对于有效的干旱生态系统管理至关重要.
这些发现支持生态监测,安全倡议和干旱环境中的土地荒漠化控制战略.

关键词:

阿克苏河流域阿克苏河流域驱动因素驱动因素地质探测器模型 NDVI NDVI 在线阅读植物覆盖面的植被覆盖.

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