中国耕地多功能耦合协调时空演变及其驱动因素

    Spatial-temporal evolution and driving factors of cultivated land multifunctional coupling coordination development in China

    • 摘要: 为探究耕地多功能耦合协调演变规律及其驱动因素,该研究依据2000-2018年中国30个省级行政区统计数据,综合评价耕地"生产-生活-生态"三维功能水平并采用核密度估计和可视化制图刻画耕地多功能时空特征,进而采用耦合协调度模型分析耕地多功能耦合协调关系,最终采用地理探测器识别耕地多功能耦合协调演变的驱动因素并解析其驱动机制。研究结果表明:1)耕地生产功能水平、生态功能水平和生态功能水平分别处于0.030, 0.608、0.042, 0.672和0.058, 0.897范围,生产功能呈现上升-下降-上升波动变化,生活功能水平先上升后下降,生态功能水平则整体小幅提升,各项功能均具有极化特征。耕地生产功能、生活功能和生态功能空间格局分别呈现"东高西低""北高南低"和"西高东低"分布特征。2)耕地多功能耦合协调水平处于0.093, 0.554范围,整体稳步提升但水平仍然较低,多数省份耕地多功能仍为失调状态。耕地多功能耦合协调空间格局逐渐呈现集聚提升的演化特征,东北地区、京津冀地区和长三角地区耕地多功能耦合协调水平较高,西北地区则处于较低水平。3)耕地多功能耦合协调度演变受经营主体条件、农业发展水平、工业发展水平和城镇化水平影响显著,其中,经营主体条件和城镇化水平对耕地多功能耦合协调度演变的驱动力较强,农业发展水平和工业发展水平次之。各驱动因素交互作用类型均为双因子增强或非线性增强,因素交互作用正向强化了各驱动因素对耕地多功能耦合协调度演变的驱动力。研究结果为充实丰富耕地多功能研究提供了实证指导,同时为推进耕地资源差异化治理和耕地多功能互促提升提供了决策支撑。

       

      Abstract: To explore the spatial-temporal evolution and driving factors of cultivated land multifunctional coupling coordination development, this paper applying the data of 30 provinces in China from 2000 to 2018 evaluated cultivated land production-living-ecological functions and revealed the spatial-temporal evolution of cultivated land multifunction with kernel density estimation and visualization mapping. Furthermore, this paper adopted coupling coordination degree model to analyze the cultivated land multifunctional coupling coordination development. Finally, this paper explored driving factors and driving mechanism of cultivated land multifunctional coupling coordination development by geographical detector. The results showed that: 1) from the perspective of temporal evolution, cultivated land production function level showed a fluctuation evolution trend of "rising-falling-rising", the living function level showed an evolution trend of "rising-falling", and the ecological function level increased slightly. All cultivated land functions had polarized characteristics. From the perspective of spatial pattern, the cultivated land production function level changed within 0.030, 0.608, showing a non-equilibrium spatial pattern of "high in the east, low in the west". The living function level changed within 0.042, 0.672, showing a non-equilibrium spatial pattern of "high in the north, low in the south". The ecological function level changed within 0.058, 0.897, showing a non-equilibrium spatial pattern of "high in the west, low in the east". The areas with high level of production and living function were concentrated in the Northeast Plain, the Huang-Huai-Hai Plain and the Yangtze Region. The areas with low level of production function were located in the northwest and southwest regions, and the areas with low level of living function were located in the Beijing-Tianjin, Yunnan-Guizhou and southern regions in China. The area with high level of ecological function areas were located in the northeast and southwest regions, while the low-level areas were located in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region and the central region of the Yangtze River. 2) The cultivated land multifunctional coupling coordination level changed within 0.093, 0.554, and the overall level had steadily improved but was still low. The cultivated land multifunctional coupling coordination levels of most provinces were still out of balance. The spatial pattern of cultivated land multifunctional coupling coordination level showed an evolution trend of agglomeration and promotion. In detail, the cultivated land multifunctional coupling coordination level of the northeast China, Beijing-Tianjin-Hebei region and the Yangtze River Delta were relatively high, while that was low in the northwestern part of China. 3) The evolution of cultivated land multifunctional coupling coordination level was significantly affected by the business entities conditions, agricultural development level, industrial development level and urbanization level. In short, the driving force of the business entities conditions and urbanization level were more significant than that of the agricultural development level and industrial development level. Moreover, the interaction type of two driving factors was two-factor enhancement or nonlinear enhancement, which indicated that the driving force of various factors had obvious divergence and interaction of factors positively strengthened the single-factor driving force, indicated that the divergence and interaction of various driving factors positively strengthened the single-factor driving force. In conclusion, the research results provide the guiding effect for deepening the study on cultivated land multifunction and decision support for promoting the differential governance of cultivated land resources and mutual promotion of cultivated land functions.

       

    /

    返回文章
    返回