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[基于遥感数据和地图调查数据的流域碳储存的时空空间动力学和驱动因素:公河流域的案例研究]

Zhi-Long Tang^1,2,3,4, Lian-Kai Zhang^2,3,4, Xing-Rong Wang^2,3,4

¹School of Environmental Studies, China University of Geosciences, Wuhan 430078, China.

Huan jing ke xue= Huanjing kexue

|January 14, 2026

概括

扬河流域的土地利用变化影响了碳储存,最初出现上升,然后下降. 土壤类型,人口密度和NDVI是关键驱动因素,突出了对生态保护战略的需求.

科学领域:

环境科学环境科学
生态生态学生态生态学
遥感遥感遥感遥感

背景情况:

土地利用变化对流域规模的碳储存有重大影响.
了解碳储存的时空动态和驱动机制对于生态系统管理至关重要.

研究的目的:

从1980年到2020年,分析公河流域土地利用和碳储存的时空演变.
在各种场景下模拟未来的碳储存变化.
确定碳储存中空间异质性的关键驱动因素.

主要方法:

应用了PLUS-INVEST-地质探测器模型框架.
图片调查和遥感数据的整合.
分析土地使用变化,碳储存趋势,场景模拟和空间差异化因素.

主要成果:

森林占主导地位,但建筑用地显著扩大,导致碳储存的峰值和随后的下降.
碳储存在2010年达到峰值,到2020年下降,植被周边地区的储存量更高,而城市中心的储存量更低.
生态保护场景显示可能增加碳储存,而耕地保护场景提供的好处有限.

结论:

土地利用管理,特别是控制建筑用地扩张和促进生态恢复,对于增强碳捕获至关重要.
土壤类型,人口密度和NDVI是影响碳储存空间模式的主要因素.
土壤类型和GDP/NDVI/人口密度等因素之间的协同作用显著推动了碳储存差异化.

关键词:

地质探测器地质探测器在InVEST模型中,投资者这是一个PLUS模型.储存碳的方法是碳储存.驱动因素驱动因素驱动因素土地使用情况土地使用情况

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