高级检索

广西耕地利用转型与粮食生产耦合协调时空演变及其驱动因素

Spatiotemporal Evolution and Driving Factors of Coupling Coordination of Cultivated Land Utilization Transformation and Grain Production in Guangxi

  • 摘要: 在保障国家粮食安全、推进农业高质量发展的双重背景下,厘清耕地利用转型与粮食生产的耦合协调关系具有重要的现实意义。本研究以广西壮族自治区111个县(市、区)为研究单元,分别构建了耕地利用转型与粮食生产两个系统的评价指标体系,综合运用熵值法、耦合协调度模型、协调影响力模型及地理探测器方法,系统分析了2013—2023年广西耕地利用转型与粮食生产耦合协调的时空演变特征,并识别其核心驱动因素。结果表明:(1)在研究期内,广西耕地利用转型指数整体呈先降后升的演变趋势,高值区与低值区的空间集聚格局相对稳定;粮食生产指数波动特征明显,区域差异呈现先扩大后收窄的演变态势。(2)耕地利用转型与粮食生产两大系统的耦合协调度整体处于基本协调阶段,中度协调区集中分布于桂中、桂东北及桂东南地区,中度失调区则主要分布于南宁、柳州、桂林等中心城市主城区及北部湾沿海部分城区。(3)显性转型始终发挥正向推动作用,但其影响力呈下降趋势;隐性耕地利用转型在多数县(市、区)表现为正向驱动效应,而在桂西南甘蔗主产区受粮食播种面积占比偏低的制约,呈现阻滞效应。(4)城镇化水平是驱动两个系统耦合协调的主导因素,交互探测结果表明,城镇化与农业经济、城镇化与农民增收的协同作用,构成了核心交互作用组合。

     

    Abstract: Under the dual background of safeguarding national food security and promoting high-quality agricultural development, investigating the coordinative relationship between cultivated land use transition and grain production is of substantial practical significance. Taking 111 counties(cities and districts) of Guangxi Zhuang Autonomous Region as the study area, this paper constructs separate evaluation indicator systems for cultivated land use transition and grain production, and applies the entropy method, the coupling coordination degree model, the coordination influence model, and the geographical detector to systematically analyze the spatiotemporal evolution characteristics and driving factors of their coupling coordination from 2013 to 2023. The results indicate that:(1) During the study period, the cultivated land use transition index in Guangxi exhibits a trend of first declining and then rising, while the core concentration areas of high-value and low-value zones remain relatively stable; the grain production index fluctuates considerably, demonstrating an evolutionary pattern of first expanding and then narrowing.(2) The coupling coordination degree between the two systems is generally at a basic coordination stage; moderately coordinated areas are mainly concentrated in central, northeastern, and southeastern Guangxi, whereas moderately unbalanced areas are found in the central urban districts of prefecture-level cities and some coastal districts along the Beibu Gulf.(3) Dominant transition consistently exerts a positive driving effect, albeit with a diminishing influence over time; recessive transition acts as a positive driver in most counties, yet it presents a blocking effect in the sugarcane-dominated areas of southwestern Guangxi due to the relatively low proportion of grain-sown area.(4) Urbanization level emerges as the dominant driving factor, and interaction detection reveals that the synergistic effects of urbanization with agricultural economy and urbanization with farmers' income growth constitute the core interaction combinations.