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宁夏生态系统碳汇时空变化及潜力诊断分区OA

Spatiotemporal variation and potential zoning diagnosis of ecosystem carbon sinks in Ningxia

中文摘要英文摘要

准确量化分析陆地生态系统碳汇与时空特征,是促进区域生态碳汇格局优化和低碳可持续发展的基础.基于长时序遥感产品、地形和气象等数据,构建"样地清查-遥感反演-机器学习-线性趋势分析"等融合研究方法,估算了长时序宁夏陆地生态系统碳储量,完成了多视角生态系统碳汇时空分析与诊断分区.结果表明:(1)2001-2024年宁夏碳储量呈显著上升趋势,年总碳储量和年平均碳储量增加速率分别为256.86×104 t·a-1和0.49 t·hm-2·a-1.(2)2001-2024年宁夏生态系统碳汇贡献以草地和农田为主,贡献率分别为41.49%和33.43%,农田、草地和森林之间的相互转化,共增加碳汇1093.19×104 t,贡献率为17.31%.(3)2001-2024年宁夏生态系统碳汇显著增加的面积占比达78.7%,未来暖湿化趋势下,宁夏92.75%的区域碳储量趋于持续增加趋势,碳汇潜力较大.Moran's I"高-高"值显著区域主要分布在宁南地区,面积占比达25.1%,且呈现上升趋势,是宁夏碳汇的高度优先区.研究结果可为宁夏生态系统管理、土地利用结构优化和"双碳"目标路径探索提供参考.

Accurate quantification and analysis of terrestrial ecosystem carbon sinks and their spatiotemporal characteristics are fundamental for optimizing regional ecological carbon sink patterns and promoting low-car-bon,sustainable development.Based on long-term remote sensing products,topographic data,and meteorological data,this study constructed an integrated research methodology combining sample plot inventory,remote sensing inversion,machine learning,and linear trend analysis to estimate the long-term carbon storage of terrestrial eco-systems in Ningxia,China.A multiperspective spatiotemporal analysis and diagnostic zoning of ecosystem car-bon sinks were conducted.The results revealed the following:(1)From 2001 to 2024,Ningxia's carbon storage showed a significant upward trend,with annual total carbon storage and average carbon storage increasing at rates of 256.86×104 t·a-1 and 0.49 t·hm-2·a-1,respectively.The total carbon storage increased by 6323.08×104 t,reaching 1.67×108 t in 2024.Guyuan City,with an annual carbon storage increase rate of 0.75 t·hm-2·a-1,emerged as the core carbon sink area in Ningxia.(2)Grassland and farmland were the primary contributors to Ningxia's eco-system carbon sinks from 2001 to 2024,with carbon storage increasing by 4732.87×104 t,accounting for 41.49%and 33.43%of the total contribution,respectively.Through two phases of ecological restoration(2000-2012 and 2012-2024),including the Grain for Green Program,grazing prohibition,and the Three-North Shelterbelt Proj-ect,the conversion among farmland,grassland,and forests increased carbon sinks by 1093.19×104 t,contributing 17.31%to the total increase.Optimizing land-use structure and enhancing vegetation coverage can effectively im-prove ecosystem carbon sink capacity.(3)From 2001 to 2024,78.7%of Ningxia's ecosystem carbon sinks exhib-ited significant increases,with all cities showing increases of over 66.3%,and Guyuan City reaching 96.0%.Ar-eas with decreases were mainly urbanized regions,accounting for only 3.4%.Areas with high variability(Cv≥0.3)covered 41.0%,predominantly distributed in the arid,semi-arid,and desertified regions of central and north-ern Ningxia,driven primarily by precipitation.Under future warm-wet trends,92.75%of Ningxia is projected to sustain increasing carbon storage,indicating its substantial carbon sink potential.The"high-high"clusters identi-fied by Moran's I index were concentrated in southern Ningxia,expanding from 18.7%in 2001 to 25.1%in 2024,marking these areas as high-priority zones for carbon sink enhancement.These findings provide a scientific basis for ecosystem management,land-use optimization,and the pursuit of"dual-carbon"goals in Ningxia.

包玉斌;张慧娟;杨雪茹;王耀宗;李樵民;王科;胡胜

宁夏回族自治区遥感调查院,宁夏 银川 750021宁夏回族自治区遥感调查院,宁夏 银川 750021宁夏回族自治区遥感调查院,宁夏 银川 750021宁夏回族自治区生态环境信息与应急中心,宁夏 银川 750021宁夏回族自治区遥感调查院,宁夏 银川 750021宁夏回族自治区遥感调查院,宁夏 银川 750021西北大学城市与环境学院,陕西 西安 710127

陆地生态系统生态碳汇随机森林模型空间自相关

terrestrial ecosystemecological carbon sinkrandom forest modelspatial autocorrelation

《干旱区地理》 2026 (4)

740-755,16

宁夏回族自治区自然科学基金项目(2024AAC03423)中央引导地方科技发展专项项目(2025FRF05005)资助

10.12118/j.issn.1000-6060.2025.460

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