生态脆弱区乡村聚落时空格局演化特征与影响因素研究
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F301.2

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重庆市自然科学基金项目( 批准号:CSTB2022NSCQ-MSX0464);重庆市教育科学规划项目(批准号:K23YD2080071);重庆市教委人文社科项目(批准号:22SKGH216)


Evolutionary characteristics and influencing factors of the spatial and temporal patterns of rural settlements in ecologically fragile areas
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    摘要:

    乡村聚落是乡村振兴战略实施的基本空间单元,而生态脆弱区的乡村聚落更是实现区域生态经济协调高质量发展和扎实推进共同富裕的薄弱环节。因此,该研究聚焦生态脆弱区,选取贵州省天柱县为研究区域,运用平均最邻近指数、景观格局指数法和最优参数地理探测器等模型,基于“规模-空间-形态”研究思路剖析2012—2022年生态脆弱区乡村聚落时空格局特征演化、影响因素及其动态变化。结果表明:1)生态脆弱区乡村聚落规模格局呈现先增后降趋势,主要以微型聚落和小型聚落为主,但平均规模高于全国水平,乡村聚落规模逐渐从量的增加转向质的提升;2)生态脆弱区乡村聚落空间格局演化存在显著自相关,空间集聚程度逐渐提升,且布局呈现“四周向中间核心集聚”的趋势,即研究区中部和南部地区形成了两个较大的集聚区和多个较小的集聚区;3)生态脆弱区乡村聚落具有明显分形特征,形态指数演化呈现先升后降的趋势,但整体上增长,且阶段性变化特征明显,形态特征更趋简单;4)生态脆弱区乡村聚落“规模-空间-形态”格局演化影响因素各具特色,总体上呈现自然条件向社会经济、政策制度转变的趋势,其中易地扶贫搬迁点、交通可达性、村镇规划和距城镇中心距离是乡村聚落时空演化的主要因素,尤其是易地扶贫搬迁点和村镇规划属于持续增强型。最后,该研究针对性地提出了加强国土空间规划、生态保护、优化乡村聚落空间格局和便于农户生产生活等建议。

    Abstract:

    Rural settlements are the basic spatial units to implement the rural revitalization strategy. However, the weak links of rural settlements are found in the ecologically vulnerable areas, particularly for the coordinated and high-quality development of regional ecology and economy. Taking Tianzhu County in Guizhou Province as the study area, this study aims to analyze the evolution, influencing factors and dynamic variation in the spatiotemporal patterns of rural settlements in the ecologically vulnerable areas from 2012 to 2022 using "Scale-Space-Morphology" approach. The rural settlement patches and administrative villages were then taken as the research objects. Three research nodes were selected in 2012, 2017 and 2022. The optimal parameters were obtained, according to the average nearest proximity index, landscape pattern index and geographical detector. The research procedures were as follows. Firstly, the scale, spatial distribution and morphological pattern of rural settlements were characterized by landscape pattern index, nearest distance value and morphological dimension. The spatiotemporal pattern and evolution of rural settlements were identified in the ecologically fragile areas. Secondly, the optimal scale was obtained for the dispersion of different influencing factors using spatial dispersion and quantitative combination. Finally, the geographic detector model with optimal parameters was used to identify the influencing factors and dynamic variation in the scale, spatial distribution and morphological pattern of rural settlements in the ecologically fragile areas. The results show that: (1) The scale pattern of rural settlements in the ecologically vulnerable areas shared a trend of increasing and then decreasing, which was mainly dominated by micro settlements and small settlements. But the average scale was much higher than the national level. The scale of rural settlements was gradually shifted from the quantitative to qualitative enhancement; (2) There was a significant autocorrelation in the spatial pattern of rural settlements in the ecologically vulnerable areas. The degree of spatial agglomeration was gradually increasing. The layout shared the “four-week to middle core agglomeration” trend, that is, the central and southern regions were formed two larger and multiple smaller agglomeration areas; (3) The outstanding fractal features were observed in the rural settlements in the ecologically vulnerable areas. The evolution of morphological index shared a trend of first rising and then decreasing. But there was the outstanding variation in the stage increase on the whole, together with the simple morphology; (4) There were the unique influencing factors on the evolution of the “scale-space-morphology” pattern of rural settlements in the ecologically vulnerable areas. Generally, there was a trend of transformation from natural conditions to social economy and policy. Among them, the relocation sites for poverty alleviation, transportation accessibility, village and town planning and distance from town centers were the main influencing factors on the spatial and temporal evolution of rural settlements. Especially, the relocation sites for poverty alleviation, village and town planning were defined as the continuous enhancement type. Finally, the targeted recommendations were made to strengthen the territorial spatial planning, ecological protection, the spatial pattern of rural settlements in the production and living of farming households.

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刘愿理,姚焱,汪蕊,许亚茜.生态脆弱区乡村聚落时空格局演化特征与影响因素研究[J].农业工程学报,2024,40(20):219-229. DOI:10.11975/j. issn.1002-6819.202406155

LIU Yuanli, YAO Yan, WANG Rui, XU Yaxi. Evolutionary characteristics and influencing factors of the spatial and temporal patterns of rural settlements in ecologically fragile areas[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2024,40(20):219-229. DOI:10.11975/j. issn.1002-6819.202406155

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  • 收稿日期:2024-06-21
  • 最后修改日期:2024-08-29
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  • 在线发布日期: 2024-10-14
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