| 引用本文： |
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杨祖,文娟,韦兰英,莫欣雨,梁玉莲.基于土地利用的广西石漠化治理重点区土壤碳储量动态变化及驱动因素分析[J].广西科学院学报,2026,42(2):156-166. [点击复制]
- YANG Zu,WEN Juan,WEI Lanying,MO Xinyu,LIANG Yulian.Dynamics and Driving Factors of Soil Carbon Stocks in Key Rocky Desertification Control Areas of Guangxi Based on Land Use[J].Journal of Guangxi Academy of Sciences,2026,42(2):156-166. [点击复制]
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| 摘要: |
| 土壤碳库是陆地生态系统碳库中最大的贮库，对维持陆地生态系统碳库的稳定和生态平衡具有重要的意义。本研究以广西石漠化治理重点区为对象，采用2010、2020年的土地利用数据，综合运用地理信息系统(GIS)空间分析、InVEST模型以及最优参数地理探测器等手段，分析研究区的土地利用变化特征、土壤碳储量时空变化情况及其驱动因子。结果表明：①2010—2020年研究区土地利用类型以林地和耕地为主。生态综合治理取得积极成效，有林地和灌木林地分别净增60万hm2和50万hm2,增加林地主要来源于其他林地和草地的转化；城镇化进程明显，建设用地扩张10.9万hm2，主要占用其他林地和水田。②研究期内广西石漠化治理重点区土壤碳储量呈上升趋势，2020年较2010年增加5.64%，呈现“西北、东北较高，西南相对较低”的分布格局。③土壤碳储量空间分异特征受自然因素和人类活动共同影响。单因子中坡度、高程和人口密度为核心驱动因子，其中坡度始终是影响力最强的因子(2010、2020年q值分别为0.262 4、0.243 4)。多因子交互以增强效应为主，2010年“净初级生产力∩降水”的q值最高(0.426 9)，2020年“人口密度∩气温”的q值最高(0.396 5)。基于上述结果，建议强化林地保护和生态空间管理，因地制宜推进生态治理。 |
| 关键词: 土地利用变化 土壤碳储量 InVEST模型 最优参数地理探测器 广西石漠化治理重点区 |
| DOI：10.13657/j.cnki.gxkxyxb.20260819.004 |
| 投稿时间：2025-08-15修订日期：2025-10-13 |
| 基金项目:广西重点研发计划项目(桂科AB25069153)和广西林业科技推广示范项目(2023GXLK31，2023GXLK34)资助。 |
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| Dynamics and Driving Factors of Soil Carbon Stocks in Key Rocky Desertification Control Areas of Guangxi Based on Land Use |
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YANG Zu1, WEN Juan2, WEI Lanying3, MO Xinyu1, LIANG Yulian1
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| (1.School of Geography and Planning, Nanning Normal University, Nanning, Guangxi, 530100, China;2.Guangxi Zhuang Autonomous Region Forest Resources and Environment Monitoring Center, Nanning, Guangxi, 530028, China;3.Guangxi Forest Inventory and Planning Institute, Nanning, Guangxi, 530011, China) |
| Abstract: |
| Soil carbon pools are the largest carbon reservoir in terrestrial ecosystems and play a critical role in maintaining ecosystem carbon stability and ecological balance.In this study,the key areas of rocky desertification control in Guangxi were taken as the object,and the land use data in 2010 and 2020 were used to analyze the characteristics of land use change,spatial and temporal changes of soil carbon storage and their driving factors in the study area by means of Geographic Information System (GIS) spatial analysis,InVEST model and optimal parameters-based geographical detector.The results showed that: ①Forest land and cultivated land were the dominant land use types in the study area from 2010 to 2020.Positive outcomes were achieved through comprehensive ecological management,with forest land and shrubland increasing by 6×105 hm2 and 5×105 hm2,respectively.The increased forest land was primarily derived from the conversion of other forest land and grass land.Meanwhile,urbanization progressed markedly,with construction land expanding by 1.09×105 hm2,mainly at the expense of other forest land and paddy fields.②During the study period,the soil carbon storage in the key areas of rocky desertification control in Guangxi showed an upward trend,with an increase of 5.64% in 2020 compared with 2010,showing a distribution pattern of “higher in northwest and northeast and lower in southwest”.③The spatial differentiation of soil carbon storage was influenced by both natural factors and anthropogenic activities.Among the single factors,slope,elevation and population density were the core driving factors,among which slope was always the most influential factor (q values in 2010 and 2020 were 0.262 4 and 0.243 4,respectively).The multi-factor interaction was dominated by the enhancement effect.The q value of “net primary productivity ∩ precipitation” was the highest in 2010 (0.426 9),and the q value of “population density ∩ temperature” was the highest in 2020 (0.396 5).Based on the above results,it is suggested to strengthen forest land protection and ecological space management,and promote ecological management according to local conditions. |
| Key words: land use change soil carbon stock InVEST model optimal parameters-based geographical detector key rocky desertification control areas in Guangxi |
