张天柱, 张凤荣, 谢臻, 黄敬文. 精准扶贫背景下云南少数民族山区农村居民点空间格局演变[J]. 农业工程学报, 2019, 35(9): 246-254. DOI: 10.11975/j.issn.1002-6819.2019.09.030
    引用本文: 张天柱, 张凤荣, 谢臻, 黄敬文. 精准扶贫背景下云南少数民族山区农村居民点空间格局演变[J]. 农业工程学报, 2019, 35(9): 246-254. DOI: 10.11975/j.issn.1002-6819.2019.09.030
    Zhang Tianzhu, Zhang Fengrong, Xie Zhen, Huang Jingwen. Spatial pattern evolution of rural settlements in mountainous areas of ethnic minorities in Yunnan Province under background of precise poverty alleviation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(9): 246-254. DOI: 10.11975/j.issn.1002-6819.2019.09.030
    Citation: Zhang Tianzhu, Zhang Fengrong, Xie Zhen, Huang Jingwen. Spatial pattern evolution of rural settlements in mountainous areas of ethnic minorities in Yunnan Province under background of precise poverty alleviation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(9): 246-254. DOI: 10.11975/j.issn.1002-6819.2019.09.030

    精准扶贫背景下云南少数民族山区农村居民点空间格局演变

    Spatial pattern evolution of rural settlements in mountainous areas of ethnic minorities in Yunnan Province under background of precise poverty alleviation

    • 摘要: 为合理确定山区农村居民点的优化布局方向,科学指导山区农村居民点土地整治和新农村建设,该文以2018年脱贫的原国家级贫困县云南省寻甸回族彝族自治县为研究区,综合运用遥感解译、GIS分析、景观形状指数模型等方法,从空间、规模与形态等方面研究2001-2017年农村居民点的演变特征及其影响因素。研究表明:1)在规模形态方面,农村居民点的演变主要表现为:整体规模扩展显著,景观形状趋于规则,平均斑块规模增大;2)在空间分布方面,农村居民点向地形条件优越地区集聚的特征愈发明显。核密度和聚类检验的分析结果表明,农村居民点斑块规模空间分异明显,分布形态由小规模分散式逐渐向大规模集聚式发展;3)自然地理因素是影响山区农村居民点分布格局的基本因素,而社会经济因素、区位因素以及政策因素是促使其空间分布变化的重要因素。该研究可对地质灾害频发的西南边疆贫困山区的农村的脱贫攻坚工作提供一定的实践指导作用,并为其农村居民点空间布局优化提供科学的理论依据。

       

      Abstract: At present, there are still a large number of poverty-stricken counties in the western part of China. Although the government has recently increased financial support for rural areas, and the policy guidelines have been steadily tilting toward rural areas, especially poor rural areas, rural poverty is still difficult to resolve. In order to reasonably determine the optimal layout direction of rural settlements in poor mountainous areas, and put forward some scientific guidance in the rural land remediation and new rural construction in mountainous areas, this paper took Xundian Hui and Yi Autonomous County, a former national poverty-stricken county that was out of poverty in 2018, as a research area, and used the methods of remote sensing interpretation, GIS analysis, landscape shape index model, buffer analysis, Kernel density estimation and Getis-Ord Gi* to study the evolution characteristics and influencing factors of rural settlements in Xundian County from 2001 to 2017 in terms of space, scale and form. The research results showed that: 1) During 2001-2017, there were some changes in the scale, density, shape and spatial distribution of rural settlements in Xundian County. The main changes were as follows: from 2001 to 2017, the overall scale of rural settlements had expanded significantly, the landscape shape tended to be regular, and the average patch size increased; the characteristics of rural settlements clustering in areas with superior terrain were becoming more and more obvious. The analysis results of kernel density and Getis-Ord Gi* showed that the spatial divergence characteristics of rural settlements patch scales were apparent, and the distribution patterns were gradually expanding from small-scale decentralization to large-scale clustering; 2)The natural geographical factors such as geological and topographical conditions were the basic factors that influencing the distribution pattern of rural settlements in mountainous areas. The basic pattern of spatial distribution of rural settlements in mountainous areas is the result of long-term adaptation to topographic and geomorphological conditions; 3) Socio-economic factors, location factors and policy factors were the important factors influencing the change of spatial distribution. As the urban-rural income gap increased, the rural population of Xundian County flew to urban areas, so rural settlements were more concentrated in urban areas; the results of the neighborhood analysis of towns and roads also indicated that rural settlements tended to be concentrated in the distribution of towns and roads. In addition, the precise poverty alleviation policy with relocation as the main means was another major factor leading to the concentration of rural settlements in the plain areas with superior terrain conditions. According to the study, for mountainous rural areas with scarce natural resources, the poverty alleviation in mountainous areas should rely mainly on industrial assistance rather than policy assistance in the future. The local government should focus on increasing the employment opportunities of farmers and improving the livelihood conditions of farmers. Only in this way can we really help the poor and achieve the rural revitalization. This study can provide a practical guidance for the poverty alleviation work in the rural areas of the southwestern frontiers with frequent geological disasters; also provide a scientific theoretical basis for the optimization of the spatial layout of rural settlements.

       

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