基于InVEST模型的窟野河流域碳储量变化对土地利用格局的响应  

Response of carbon storage changes to land use pattern in Kuye River Basin based on InVEST model

作　　者：王硕 盛艳 范淑花 刘林甫 圆圆 白旭 Wang Shuo;Sheng Yan;Fan Shuhua;Liu Linfu;Yuan Yuan;Bai Xu(College of Desert Management,Inner Mongolia Agricultural University,Hohhot 010018,China;Desert Ecosystem Protection and Restoration Key Laboratory of National Forestry and Grassland Administration,Hohhot 010018,China;Jungar Banner Natural Resources Bureau,Ordos,Inner Mongolia 010300,China)

机构地区：[1]内蒙古农业大学沙漠治理学院,呼和浩特010018 [2]荒漠生态系统保护与修复国家林业和草原局重点实验室,呼和浩特010018 [3]准格尔旗自然资源局,内蒙古鄂尔多斯010300

出　　处：《水土保持研究》2025年第3期149-158,共10页Research of Soil and Water Conservation

基　　金：科技兴蒙行动重点专项“窟野河流域山水林田湖草沙矿城系统治理技术与示范”(2022EEDSKJXM005-01);内蒙古自治区防沙治沙科技创新重大示范工程“揭榜挂帅”项目“内蒙古国土绿化空间结构调控及林草植被营建关键技术研究与示范”(2024JBGS0021-1)。

摘　　要：[目的]窟野河流域是黄河的重要支流之一,研究土地利用格局对碳储量变化的影响,对维持区域生态系统平衡具有重要意义。[方法]基于六期土地利用数据,运用转移矩阵、景观格局指数和InVEST模型等方法,探究窟野河流域土地利用格局与碳储量变化之间的协同响应关系。[结果](1)1997—2022年,碳储量高值区分布在研究区的北部和南部地区。研究期间冷点区域明显增加,碳储量发生下降,减少7.003×10^(6) t。(2)1997—2022年,研究区土地利用类型以草地和耕地为主,草地面积变化明显,减少498.47 km^(2),主要转换为城乡、工矿、居民用地。由景观指数变化可知,研究区草地优势度降低,各土地利用类型间抵御风险能力减弱,景观破碎化程度升高。(3)1997—2022年,耕地、林地和草地发生转移是研究区碳储量减少的主要原因,草地向城乡、工矿、居民用地转移碳储量损失最为严重。经灰色关联度分析可知景观格局指数与碳储量变化具有较强的关联度。[结论]窟野河流域碳储量随土地利用格局的改变而变化,林地最有利于碳储量的增加,未来应加强土地利用管理,严格控制研究区草地、耕地和林地等土地利用类型向城乡、工矿、居民用地的转变。[Objective]Kuye River Basin is an important tributary of the Yellow River.Studying the impact of land use pattern on carbon storage changes is of great significance for maintaining regional ecosystem balance.[Methods]This study analyzed six phases of land use data using transfer matrix analysis,landscape pattern indices and the InVEST model to explore the synergistic relationship between land use pattern and carbon storage changes in Kuye River Basin.[Results](1)From 1997 to 2022,areas with high carbon storage were primarily located in the northern and southern regions of the study area.During the study period,the cold spot area increased significantly,indicating a decline in carbon storage,which decreased by 7.003×10^(6) t.(2)From 1997 to 2022,the land use types in the study area were mainly grassland and cropland.Grassland area underwent substantial changes,decreasing by 498.47 km^(2),mainly converted to urban and rural areas,industrial and mining land,and residential land.Changes in landscape indices revealed a decline in grassland dominance,a weakening of risk resilience across various land use types,and an increase in landscape fragmentation.(3)From 1997 to 2022,the conversion of cropland,forest land,and grassland was identified as the primary cause of carbon storage reduction in the study area.The transition of grassland to urban and rural areas,industrial and mining land,and residential land resulted in the most severe carbon loss.The grey relational analysis showed a strong correlation between landscape pattern indices and carbon storage changes.[Conclusion]The carbon storage in the Kuye River Basin changes with the change of land use pattern.Forest land is most conducive to the increase of carbon storage.In the future,land use management should be strengthened,and the transformation of land use types such as grassland,cultivated land and forest land in the study area to urban and rural,industrial and mining,and residential land should be strictly controlled.

关 键 词：碳储量 土地利用格局 InVEST模型 土地利用转移矩阵 窟野河流域 

分 类 号：F301.2[经济管理—产业经济]