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中国黄河流域的碳捕集模式受植被结构动态的支配

Zhongen Niu¹, Honglin He², Mengyu Zhang³

¹Institute of Coastal Research, College of Hydraulic and Civil Engineering, Ludong University, Yantai 264025, China.

Journal of environmental management

|November 4, 2025

概括

植被的增长,特别是叶面积指数 (LAI) 的增加,大大提高了黄河流域的碳捕获. 这项研究量化了植被动态,而不是仅仅是土地使用变化,如何增强碳汇,以缓解气候变化.

科学领域:

陆地生态系统地球生态系统
气候变化科学气候变化科学
遥感遥感遥感遥感

背景情况:

陆地碳捕获对于减缓气候变化和生态恢复至关重要.
自2000年以来,黄河盆地 (YRB) 呈现出显著的植被绿化和增加的叶面积指数 (LAI).
在YRB中量化碳封存的驱动因素是必不可少的,但具有挑战性.

研究的目的:

从2000年到2022年,量化YRB中碳捕集的时空动态.
确定植被动态和环境因素对碳捕获变化的相对贡献.
在YRB中为生态恢复和气候缓解战略提供信息.

主要方法:

采用CEVSA-ES模型的模型数据融合方法.
远程传感数据和观察数据集的整合.
碳流和驱动力的量化.

主要成果:

在2000-2022年期间,YRB平均隔离了24.79 ± 10.61 Tg C a-1 .
碳汇量以每年1.38 Tg C a−1的平均速度显著增加.
由LAI驱动的树冠动力学 (54.35%) 和二氧化碳施肥 (29.71%) 是主要的驱动因素,超过土地使用/覆盖变化 (LUCC) 贡献 (7.98%).

结论:

除了LUCC之外,植被结构的优化是提高YRB等半干旱地区的碳沉积能力的关键.
将植被动态纳入土地管理对于碳中和可持续的流域发展至关重要.
这些发现支持基于自然的气候缓解和生态恢复解决方案.

关键词:

碳化合物2) 的受精.碳水槽的碳排放方式叶面积指数叶面积指数过程模型的过程模型.一个半干旱的流域.

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