首页|基于InVEST模型的陆良县固碳能力研究

基于InVEST模型的陆良县固碳能力研究

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以云南省曲靖市陆良县为例,通过2000、2005、2010、2015、2020年5期土地利用数据和碳密度数据,利用GIS和InVEST的碳储量模块,获取研究区碳储量的时空分布数据,分析近20年陆良县碳储量变化特征.结果表明,20年间耕地和林地面积略微下降,而草地面积减少较为明显,水域和建设用地面积增加明显,未利用地减少明显.碳储量总体呈减少趋势,尤其是2015-2020 年减少明显,与土地利用类型变化表现一致.不同类型土地在碳储量变化方面存在明显差异,林地的平均碳储量最高,而建设用地、水域和未利用地的平均碳储量较低.碳储量空间分布变化不大,高值区主要分布在林地区域,低值区主要在建设用地和耕地集中区域.综上所述,土地利用变化与碳储量变化之间存在密切关联,城市化进程、耕地减少等因素可能导致碳储量的减少,而对林地的保护、湿地的保护等措施可能有助于维持或增加碳储量.
Study on Carbon Sequestration Capacity in Luliang County Based on InVEST Model
Taking Luliang County,Qujing City,Yunnan Province as an example,the spatial and temporal distribution data of carbon storage in the study area were obtained through five periods of land use data and carbon density data in 2000,2005,2010,2015 and 2020.The carbon stor-age module of GIS and InVEST was used to analyze the characteristics of carbon storage changes in Luliang County in the past 20 years.The re-sults showed that over the 20-year period,the area of cultivated land and forest land had slightly decreased,while the grassland area had de-creased significantly,and the areas of water bodies and construction land had increased significantly,with unused land decreasing noticeably.The overall carbon storage showed a declining trend,especially during the period from 2015 to 2020,which was consistent with changes in land use.There were significant differences in carbon storage changes among different land types,with forest land having the highest average carbon storage,while construction land,waters and unused land had relatively low average carbon storage.The spatial distribution of carbon storage had not changed significantly,high-value areas mainly distributed in forest areas,and low-value areas mainly distributed in construction land and cultivated land concentration areas.In summary,there was a close correlation between land use change and carbon storage change.Factors such as urbanization and reduced cultivated land may lead to a decrease in carbon storage,while measures such as protecting forests and wetlands may help maintain or increase carbon storage.

Carbon storageInVEST modelCarbon sequestrationLuliang County

马山俊、邵志鹏

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云南林业职业技术学院,云南 昆明 650224

陆良县林业和草原局,云南陆良 655699

碳储量 InVEST模型 固碳能力 陆良县

2024

安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
年,卷(期):2024.52(24)