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生态文明视角下的伊犁河谷绿洲土地生态安全评价及障碍因子诊断 被引量:19
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作者 刘志有 曲秀武 +2 位作者 魏冉 闵廷冬 宁静 《水土保持通报》 CSCD 北大核心 2022年第1期137-143,共7页
[目的]基于生态文明视角对伊犁河谷绿洲生态安全问题进行研究,揭示影响土地生态安全的主要因素,为实现区域土地可持续利用提供合理化建议,促进生态文明建设。[方法]采用PSR—熵权TOPSIS模型对2000—2018年伊犁河谷绿洲土地生态安全进行... [目的]基于生态文明视角对伊犁河谷绿洲生态安全问题进行研究,揭示影响土地生态安全的主要因素,为实现区域土地可持续利用提供合理化建议,促进生态文明建设。[方法]采用PSR—熵权TOPSIS模型对2000—2018年伊犁河谷绿洲土地生态安全进行评价,结合评价结果,建立障碍因子诊断模型,进行障碍度诊断分析。[结果](1)总体来看伊犁河谷绿洲土地生态安全呈现缓慢提升态势,提升幅度较小,土地生态安全等级为Ⅲ级,土地生态安全为一般状态,期间存在波动变化,部分年份出现了小幅度下降;(2)准则层土地生态安全状况变化显著,压力层面土地生态安全状况整体呈现下降趋势,状态与响应层面土地生态安全状况整体呈现上升趋势;(3)土地生态压力层面障碍度呈现升高趋势,对土地生态安全水平提升的阻力逐渐增大,主要障碍因子有人均林草地面积、人口密度、人均耕地面积、农业化肥施用量。[结论]伊犁河谷绿洲土地生态安全整体呈现向好趋势发展,但主要障碍因子影响显著,阻碍了提升速度,需要采取相应对策加以解决,促进伊犁河谷绿洲土地实现可持续利用。 展开更多
关键词 土地生态安全评价 障碍因子诊断 PSR-熵权TOPSIS模型 伊犁河谷绿洲
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基于农户视角的农村宅基地闲置影响因素:以湄潭县5个镇为例 被引量:4
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作者 闵廷冬 刘志有 +1 位作者 魏冉 曲秀武 《贵州农业科学》 CAS 2022年第3期132-140,共9页
【目的】探明贵州省湄潭县鱼泉街道、天城镇、兴隆镇、石莲镇和复兴镇5个镇(街)农村宅基地闲置的影响因素,为湄潭县农户合理利用宅基地和对当地完善宅基地政策提供理论依据。【方法】运用SPSS 26.0,通过二元probit模型分析湄潭县265份... 【目的】探明贵州省湄潭县鱼泉街道、天城镇、兴隆镇、石莲镇和复兴镇5个镇(街)农村宅基地闲置的影响因素,为湄潭县农户合理利用宅基地和对当地完善宅基地政策提供理论依据。【方法】运用SPSS 26.0,通过二元probit模型分析湄潭县265份样本农户的家庭特征、宅基地特征、经济特征、地理环境、宅基地管理和人文因素等对农村闲置宅基地在盘活利用过程的影响。【结果】年龄、外出务工、宅基地数量、闲置时间、居住条件、交通条件、城镇定居、乡镇企业务工与宅基地闲置有显著正相关关系,宅基地面积、家庭收入来源、盘活预期收入、是否靠近资源开发区、政策了解度、对宅基地的情感与宅基地闲置有显著负相关关系。【结论】需要进一步围绕家庭特征、宅基地特征、经济特征、地理环境、宅基地管理办法等因素剖析宅基地形成闲置成因,并强化顶层设计,完善补偿模式,发展乡村企业促进人口回流,鼓励村民自主经营,采取多种方式盘活,实现城乡融合发展。 展开更多
关键词 宅基地 闲置 PROBIT模型 影响因素 湄潭 贵州
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Spatial Distribution Characteristics and Influencing Factors of Traditional Villages in Guizhou Province
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作者 ZHANG Yihong min tingdong +1 位作者 BAI Bin YANG Qing 《Journal of Landscape Research》 2022年第1期37-46,共10页
Traditional villages have high historical,cultural,scientific,artistic,social and economic value.They reflect the harmony and balance among long-term production,human life and natural environment.They are a community ... Traditional villages have high historical,cultural,scientific,artistic,social and economic value.They reflect the harmony and balance among long-term production,human life and natural environment.They are a community of tangible and intangible cultural heritages,and have received extensive attention from political circles,academic circles and the public.Through the Arc GIS10.3 geographic information system,724 traditional villages in Guizhou Province,China are visualized,and the nearest neighbor index,geographic concentration index,imbalance index,kernel density estimation and other methods are employed to analyze the spatial distribution type,distribution balance,spatial agglomeration characteristics and influencing factors.Studies have shown that the traditional villages in Guizhou Province tend to be concentrated and distributed,spatially forming high-density areas in southeastern Guizhou,second high-density areas in Anshun,moderate-density areas in Tongren,and low-density areas in Zunyi.From the city (prefecture) scale,traditional villages in Guizhou Province are relatively concentrated in Qiandongnan Prefecture,Tongren City,Anshun City and Qiannan Prefecture.From a regional perspective,the distribution of traditional villages in Guizhou Province is uneven,mainly distributed in Qiannan,Qiandong and Qianzhong.Their spatial distribution is affected by factors such as natural environment,traffic accessibility,ethnic culture,and economic development.It reveals the spatial distribution characteristics and influencing factors of traditional villages in Guizhou Province,and provides relevant realistic and theoretical foundations for the protection,inheritance and innovative development of traditional villages.In addition,the formation mechanism of traditional villages needs to be further analyzed based on information reflecting the attributes of traditional villages such as village history,village types,site selection patterns,characteristic buildings,production and life.It is also necessary to improve the traditional village database and grading evaluation system,and formulate protection and development plans,to realize the activation and utilization of traditional village resources,and promote their renewal and modernization. 展开更多
关键词 Traditional villages Geographic information system Spatial distribution Influencing factors
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