巨芬, 范树平, 宋晓娜, 等. 粮食主产区设施农用地的时空演变及格局优化研究——基于安徽省105个区(县)面板数据的实证分析[J]. 云南农业大学学报(社会科学), 2022, 16(6): 110−119. doi: 10.12371/j.ynau(s).202204124
引用本文: 巨芬, 范树平, 宋晓娜, 等. 粮食主产区设施农用地的时空演变及格局优化研究——基于安徽省105个区(县)面板数据的实证分析[J]. 云南农业大学学报(社会科学), 2022, 16(6): 110−119. doi: 10.12371/j.ynau(s).202204124
JU Fen, FAN Shuping, SONG Xiaona, LI Peng, ZOU Jinlang, WANG Bin. The Spatio-temporal Evolution and Pattern Optimization of Facility Agricultural Land in the Main Grain-producing Areas: Empirical Analysis Based on Panel Data from 105 Districts and Counties in Anhui Province[J]. Journal of Yunnan Agricultural University (Social Science), 2022, 16(6): 110-119. DOI: 10.12371/j.ynau(s).202204124
Citation: JU Fen, FAN Shuping, SONG Xiaona, LI Peng, ZOU Jinlang, WANG Bin. The Spatio-temporal Evolution and Pattern Optimization of Facility Agricultural Land in the Main Grain-producing Areas: Empirical Analysis Based on Panel Data from 105 Districts and Counties in Anhui Province[J]. Journal of Yunnan Agricultural University (Social Science), 2022, 16(6): 110-119. DOI: 10.12371/j.ynau(s).202204124

粮食主产区设施农用地的时空演变及格局优化研究基于安徽省105个区(县)面板数据的实证分析

The Spatio-temporal Evolution and Pattern Optimization of Facility Agricultural Land in the Main Grain-producing Areas: Empirical Analysis Based on Panel Data from 105 Districts and Counties in Anhui Province

  • 摘要: 选取粮食主产区安徽省的105个区(县)作为研究区域,综合运用空间分析技术,剖析设施农用地空间上的规模变化和时间上的强度变化,探索设施农用地时空演变规律与集聚模式,进一步分区分类及对应提出空间布局差异优化策略。结果显示:(1)2005年尤其是2010年后,安徽省设施农用地在空间上由中部向两侧扩散,并逐渐呈现北方多、南方少的分布情况且主要集中在北部,设施农用地的面积亦逐年稳步增长;(2)2005—2020年,安徽省设施农用地占国土调查总面积的比率呈快速增长趋势,大部分区(县)的设施农用地变化强度指数不断提高,这与设施农用地的规模变化趋势是大体一致的;(3)2010年后,安徽省的设施农用地呈现显著的聚集特征,其空间自相关状态的演变与设施农用地规模演变状况大致相同;(4)根据105个区(县)的设施农用地的时空分异特征及聚集模式的可视化表达,将安徽省分为皖北平原畜禽养殖区域、皖中岗丘现代农业区域、沿江平原综合农业区域、皖西南山区农旅综合区域,以此优化安徽省设施农用地格局,积极落实和完善设施农用地差异化管控措施,有效保障粮食生产及安全,为满足粮食主产区设施农业用地需求营造优良的环境。

     

    Abstract: 105 districts and counties in Anhui Province, the main grain-producing area, were selected as the research areas, and the spatial analysis technology was comprehensively used to analyze the spatial scale changes and temporal intensity changes of facility agricultural land, explore the spatio-temporal evolution law and agglomeration mode of facility agricultural land, and further classify and propose spatial layout difference optimization strategies accordingly. The results show that : (1) In 2005, especially after 2010, the facility agricultural land in Anhui Province spread from the middle to the two sides in space, and gradually showed the distribution of more in the north and less in the south and was mainly concentrated in the north, and the area of facility agricultural land also increased steadily year by year. (2)From 2005 to 2020, the proportion of facility agricultural land in the total area of the land survey in the province showed a rapid growth trend, and the intensity index of change of facility agricultural land in most districts and counties continued to increase, which is generally consistent with the trend of change in the scale of facility agricultural land.(3)After 2010, the facility agricultural land in Anhui Province showed a significant agglomeration characteristic, and the evolution of its spatial autocorrelation state was roughly the same as the evolution of the scale of facility agricultural land.(4)According to the spatial and temporal differentiation characteristics and aggregation mode of facility agricultural land in 105 districts and counties, the province is divided into livestock and poultry breeding areas in the northern Anhui Plain, modern agricultural areas in central Anhui Gangqiu, comprehensive agricultural areas along the yangtze river plain, and comprehensive agricultural tourism areas in the mountainous areas of southwest Anhui, so as to optimize the pattern of facility agricultural land in the province, actively implement and improve the differentiated control measures for facility agricultural land, effectively ensure grain production and safety, and create an excellent environment to meet the needs of facility agricultural land in the main grain-producing areas.

     

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