沈阳市耕地“非粮化”空间分异特征及影响因素研究

The Spatial Divergence Characteristics and Influencing Factors of ‘Non-grain’ Cultivated Land in Shenyang

  • 摘要:
    目的 分析沈阳市近年来耕地“非粮化”空间分异特征及其影响因素,为抑制沈阳市耕地“非粮化”,优化耕地利用提供决策参考。
    方法 基于沈阳市耕地资源质量分类数据,采用统计分析方法,测度和分析沈阳市耕地“非粮化”程度及变化;采用空间自相关分析及自然断点法,研究耕地“非粮化”空间分异特征;使用地理探测器模型探讨耕地“非粮化”影响因素。
    结果 2019 ~ 2022年四年间沈阳市耕地“非粮化”率逐年降低,由2019年的0.42%降低为2022年的0.15%;“非粮化”程度最高的是皇姑区,在2019年耕地“非粮化”率为4.14%;沈阳市耕地“非粮化”程度空间分异特征明显,整体呈现“南高北低”“近郊高远郊低”的空间格局;旱地占比、水田占比和耕地恢复面积是影响沈阳市耕地“非粮化”的主要因素。
    结论 沈阳市耕地“非粮化”问题逐年缓解;近郊区耕地“非粮化”现象明显高于远郊县;种粮效益低下是诱发耕地“非粮化”的根本原因,政策管控对耕地“非粮化”抑制作用明显。

     

    Abstract:
    Objective The aims were to analyze the spatial differentiation characteristics of ‘non-grain’ cultivated land in Shenyang in recent years, in order to explore its driving factors and inhibit the ‘non-grain’ of arable land, so as to provide decision-making references for suppressing the ‘non-grain’ and optimizing the use of arable land in Shenyang.
    Methods Based on the data of Shenyang city's arable land resource quality classification, statistical analysis methods were used to measure and analyze the degree and changes of Shenyang arable land ‘non-grain’. The standard elliptic difference model and the natural breakpoint method were used to study the spatial differentiation pattern of arable land ‘non-grain’. The geoprobe model was used to explore the influencing factors of ‘non-grain’ cultivated land.
    Results The rate of ‘non-grain’ of arable land in Shenyang decreased year by year during the four years of 2019 ~ 2022, from 0.42 in 2019 to 0.15 in 2022. Te highest degree of ‘non-g in Huanggu and Shenhe Districts, and the highest degree of ‘non-grain’ was in Huanggu District and Shenhe District, and the highest degree of ‘non-food’ was in Huanggu District and Shenhe District, and the highest level was in Huanggu District in 2019. The highest degree of ‘non-grain’ was in Huanggu District and Shenhe District, with the rate of ‘non-grain’ of arable land in 2019 being 4.14 and 2.18 respectively; the spatial distribution of the degree of ‘non-food’ of arable land is obvious, with the overall presentation of ‘high in the south and low in the north’. The overall spatial distribution characteristics are obvious, showing the spatial pattern of ‘high in the south and low in the north’ and ‘high in the suburbs and low in the far suburbs’. The proportion of dry land, the proportion of paddy land and the area of arable land restoration were the main factors affecting the ‘non-grain’ of arable land in Shenyang.
    Conclusion The problem of ‘non-grain’ of arable land in Shenyang has been alleviated year by year. The phenomenon of ‘non-grain’ of arable land in peri-urban areas is significantly higher than that in remote suburban unties and districts. The low efficiency of planting grains and the strength of policy control are the main factors that induce and inhibit the ‘non-grain’ of arable land. The low efficiency of grain cultivation and the strength of policy control are the main factors inducing and inhibiting the ‘non-grain’ phenomenon.

     

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