文章摘要
基于面向对象分割的耕地集中连片经营分布提取及其影响因素研究——以大同市云州区四乡镇为例
Distribution extraction and influencing factors of farmland concentrated contiguous management based on object-oriented segmentation:A case study of four towns in Yunzhou District, Datong City of China
Received:June 10, 2022  Revised:August 16, 2022
DOI:10.13254/j.jare.2022.0360
中文关键词: 面向对象分割,集中连片经营,地理探测器,黄花菜
英文关键词: object-oriented segmentation, centralized contiguous management, geographic detector, daylily
基金项目:国家重点研发计划项目(2021YFD1600301);大同黄花产业发展研究院科研合作项目(2022QT003-4)
Author NameAffiliationE-mail
FAN Yingying College of Resource and Environment, Shanxi Agricultural University, Taigu 030801, China  
ZHU Hongfen College of Resource and Environment, Shanxi Agricultural University, Taigu 030801, China  
LIU Huifang College of Resource and Environment, Shanxi Agricultural University, Taigu 030801, China  
BI Rutian College of Resource and Environment, Shanxi Agricultural University, Taigu 030801, China
Datong Daylily Industrial Development Research Institute, Datong 037004, China 
brt@sxau.edu.cn 
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中文摘要:
      为探讨如何促进耕地集中连片与规模经营,本研究基于第三次土地调查耕地图斑、Google Earth高分辨率遥感影像和实地调研的问卷数据,以大同市云州区四乡镇为研究对象,采用面向对象的分割方法对耕地斑块进行分割,得到耕地经营斑块,运用景观格局软件Fragstats 4.2、统计软件SPSS及地理探测器模型,分析了云州区四乡镇的耕地集中连片经营空间分布现状以及主要影响因素。结果表明:云州区四乡镇位于大同盆地腹地,地势平坦,聚合度指数均大于80,整体耕地斑块分布较为集中,耕地集中连片聚类分析结果表明第Ⅲ、Ⅳ类的耕地面积占比较大,共占58.63%。影响因子对耕地集中连片经营的影响力度从大到小依次为耕地流转率、黄花菜面积占比、人均收入、高等学历人数占比、纯农型农户占比、合作社数量、收入来源,其分异决定力指标(q值)均在0.1以上,交互作用探测结果呈现非线性增强为主、双因子增强为辅,黄花菜种植面积占比与合作社数量的交互作用影响最为显著,凸显了黄花菜种植面积的驱动作用。研究表明,耕地的有效流转、黄花菜的种植和合作社的建立促进了耕地集中连片经营。
英文摘要:
      To explore how to promote the centralized, contiguous, large-scale management of cultivated land, the cultivated land patches of the third land survey carried out by the Chinese government this decade, Google Earth high-resolution remote sensing images, and questionnaire data from field research were used to study Xiping Town, Beijiazao Town, Duzhuang Town and Dangliuzhuang Town in Yunzhou District, Datong City of China. The object-oriented segmentation method was used to segment the cultivated land patches and obtain cultivated land management patches. The landscape pattern software Fragstats 4.2, SPSS statistical software, and the geographical detector model were used to analyze the spatial distribution of centralized contiguous management of cultivated land in the four towns of Yunzhou District as well as its main influencing factors. The results show that the four towns of Yunzhou District were primarily located in the hinterland of Datong Basin with flat terrain, and the aggregation index was >80. The overall distribution of cultivated land patches was relatively concentrated, and the cultivated land with concentrated contiguous status of Ⅲ and Ⅳ was larger than those of status Ⅰ and Ⅱ, accounting for 58.63%. In addition, the explanatory power of influencing factors on the centralized contiguous management of cultivated land in descending order was:the transfer rate of cultivated land, the proportion of daylily area, per capita income, the proportion of people with higher education, the proportion of agricultural farmers, the number of cooperatives, and the source of income; the differentiation determination index(q) values of these factors were >0.1. Moreover, the interaction effect exhibited both nonlinear and mutual enhancement, in which the interaction of the planting area of daylily with number of cooperatives was prominent, highlighting the essential role of the planting area of daylily in the centralized contiguous management of cultivated land. The effective transfer of cultivated land, the cultivation of daylily, and the establishment of cooperatives have promoted the centralized contiguous management of cultivated land.
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