| 安 彬,肖薇薇,陈文靖.川陕革命老区土地利用变化时空演变及驱动因子研究[J].林业调查规划,2025,50(4):183-191 |
| 川陕革命老区土地利用变化时空演变及驱动因子研究 |
| Spatiotemporal Evolution and Driving Factors of Land Use Change inthe Sichuan-Shaanxi Revolutionary Old Area |
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| DOI： |
| 中文关键词: 川陕革命老区 土地利用变化 土地利用程度 地理探测器 驱动力 |
| 英文关键词: Sichuan-Shaanxi Revolutionary Old Area land use change land use intensity geodetector driving forces |
| 基金项目:四川省人文社会科学重点研究基地—四川革命老区发展研究中心2023 年度项目(SLQ2023SB-28). |
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| 中文摘要: |
| 川陕革命老区是长江上游水源涵养区和秦巴生物多样性生态功能区的重要组成部分,认识其
土地利用变化及驱动因子对区域的振兴发展、生态文明建设具有重要意义。基于长时序(1990—
2022年)土地利用数据,运用土地利用动态度、程度、转移矩阵等方法,分析川陕革命老区土地利用
变化时空演变特征,并借助地理探测器探讨土地利用变化的驱动因子。结果表明,川陕革命老区土
地利用格局以“林地—耕地”为主,研究期内土地利用变化较为显著,以林地增加、耕地减少最为明
显;转变方式以耕地与林地的相互转移、耕地转为建设用地为主,其中耕地的转出和转入最为活跃。
研究区土地利用综合动态度(K)为0.75%,不同时期各类土地利用类型的单一动态度(Ks)变化相
对复杂;土地利用程度指数(L)有所下降,县域尺度L自南向北递减。自然因素(地形起伏度、年均
降水变化)是川陕革命老区2000—2022年土地利用变化的主导因素,其次是经济发展水平(夜光
指数变化),最弱的是城镇化率变化;气温变化与地形位、夜光指数变化、地形起伏度的交互组合解
释力较强;而政策因素(重大生态工程)仅对2000—2010年土地利用变化的解释力较强。 |
| 英文摘要: |
| The Sichuan-Shaanxi Revolutionary Old Area is a crucial water conservation zone in the upper
reaches of the Yangtze River and an important part of the Qinling-Bashan biodiversity ecological functional
area. Understanding its land use changes and driving factors is significant for regional revitalization,
development, and ecological civilization construction. Based on long-term(1990-2022) land use data,this study employed methods such as land use dynamic degree, land use intensity, and transfer matrix to
analyze the spatiotemporal evolution of land use change in the area. Geodetector was used to explore the
driving factors. The results indicate that the land use pattern in the Sichuan-Shaanxi Revolutionary Old
Area is dominated by “forest land-cultivated land”, with significant changes during the study period,
particularly the increase in forest land and decrease in cultivated land. The primary transitions involved
mutual conversion between cultivated land and forest land, as well as cultivated land being converted into
construction land, with cultivated land being the most active in both outflow and inflow. The comprehensive
land use dynamic degree(K) of the study area was 0.75%, while the single dynamic degree(Ks)
of different land use types varied relatively complexly across periods. The land use intensity index(L)
showed a declining trend, with a decreasing gradient from south to north at the county scale. Natural factors
(topographic relief, annual precipitation variation) were the dominant drivers of land use change
2000-2022, followed by economic development level(changes in nighttime light index), while urbanization
rate had the weakest influence. The interaction between temperature change and topographic position,
nighttime light index, and topographic relief exhibited strong explanatory power. Policy factors
(major ecological projects) had a significant explanatory effect only for the 2000-2010 period. |
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