[Spatio-temporal Evolution and Driving Mechanism of Carbon Storage in Honghe River Basin of Yunnan Province Based on PLUS-InVEST-Geodetector Model].

Q2 Environmental Science
Chen-Ting Zhao, De-Jin Wang, Jing Chen, Yi-Fan Cao, Jin-Kai He
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引用次数: 0

Abstract

Exploring the impact of land use on regional carbon storage and its spatial driving factors is of great significance for enhancing regional ecosystem carbon sinks and optimizing territorial space. This study takes the Honghe River Basin in Yunnan Province as an example, couples the PLUS-InVEST-Geodector model to deeply investigate the spatial evolution patterns of land use and carbon storage and their spatial driving causes from 2000 to 2020, and predicts and analyzes the evolution trends of land use and carbon storage in 2040 under four scenarios (natural development, farmland protection, carbon sink enhancement, and water resource protection). The results are as follows: ① In the Honghe River Basin of Yunnan Province, the land use was dominated by cultivated land, forest, and grassland, accounting for approximately 17%, 62%, and 20%, respectively. The period from 2000 to 2010 saw the most intense land use change, with a total transition area of 3 410.52 km2. ② From 2000 to 2020, the carbon storage in the Honghe River Basin of Yunnan Province generally presented a pattern of "high in the west and low in the east and middle," with a cumulative loss of 4.28×106 t. ③ Under the natural development scenario and the cultivated land protection scenario, carbon storage amounted to 1 483.75×106 t and 1 480.60×106 t, respectively, decreasing by 4.71×106 t and 7.86×106 t compared to the 2020 level. In contrast, the carbon sink enhancement scenario and the water resource protection scenario resulted in carbon storage of 1 488.68×106 t and 1 489.62×106 t, representing an increase of 0.22×106 t and 1.16×106 t relative to that in 2020. ④ NDVI (0.108 5), soil erosion intensity (0.068 5), and soil type (0.058 2) were the dominant factors influencing the spatial heterogeneity of carbon storage. The interaction effects between any two factors were stronger than those of individual factors, with the most significant synergistic effect observed for the interaction between NDVI and soil type (0.147 3).

基于PLUS-InVEST-Geodetector模型的云南红河流域碳储量时空演化及驱动机制[j]。
探讨土地利用对区域碳储量的影响及其空间驱动因素,对于增强区域生态系统碳汇、优化国土空间具有重要意义。本研究以云南省红河流域为例,结合PLUS-InVEST-Geodector模型,深入研究了2000 - 2020年红河流域土地利用与碳储量的空间演变格局及其空间驱动原因,并在自然开发、农田保护、碳汇增强和水资源保护4种情景下,预测和分析了2040年红河流域土地利用与碳储量的演变趋势。结果表明:①云南省红河流域土地利用以耕地、林地和草地为主,分别约占17%、62%和20%;2000 - 2010年是土地利用变化最剧烈的时期,总面积为3410.52 km2。②2000 - 2020年,云南省红河流域碳储量总体呈现“西高中低”的格局,累计损失4.28×106 t。③在自然开发情景和耕地保护情景下,云南省红河流域碳储量分别为1 483.75×106 t和1 480.60×106 t,比2020年水平分别减少4.71×106 t和7.86×106 t。碳汇增强情景和水资源保护情景的碳储量分别为1 488.68×106 t和1 489.62×106 t,分别比2020年增加0.22×106 t和1.16×106 t。④NDVI(0.108 5)、土壤侵蚀强度(0.068 5)和土壤类型(0.058 2)是影响碳储量空间异质性的主要因素。其中,NDVI与土壤类型之间的协同效应最为显著(0.147 3)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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