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草原地表生物质及其驱动因素在内蒙古中部,中国的空间和时间变化

Shen-Lin Zhang¹, Tian-Jun Wu^1,2,3, Ling Han^1,2,3

¹School of Land Engineering, Chang'an University, Xi'an 710054, China.

Ying yong sheng tai xue bao = The journal of applied ecology

|December 15, 2025

概括

中央内蒙古的内部蒙古.

科学领域:

生态生态学生态生态学
遥感遥感遥感遥感
数据科学数据科学数据科学

背景情况:

内蒙古的草原对于中国北部的生态安全至关重要.
了解草原生物质是环境管理的关键.

研究的目的:

开发准确的地面生物质估计模型.
从2000年到2020年分析生物质的时空变化和驱动因素.

主要方法:

综合现场数据,遥感和环境变量.
采用机器学习算法,包括渐变增强机 (GBM).
使用趋势分析和GeoDetector进行时空和驱动器分析.

主要成果:

GBM模型实现了0.58的R2,42.40g·m-2的MAE,56.99g·m-2的RMSE.
从2000年到2020年,地表生物质呈现出波动性的上升趋势 (平均148.72g·m-2).
该地区77.9%的生物质增加,主要驱动因素是降水和土壤营养物质.

结论:

机器学习,特别是GBM,有效地估计了草原生物质.
草原生物质总体上有所改善,受气候和土壤因素的影响.
这些发现支持内蒙古的可持续草原管理.

关键词:

中部内蒙古的内蒙古.这是一个驱动因素,驱动因素.草原是地面上的生物质.机器学习是机器学习.时间空间的变化.

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