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[1]YANG Menghao,LIU Amin,CAO Lianhai,et al.Spatiotemporal Variation Characteristics and Influencing Factors of Rural Residential Land in Key Agricultural Areas—A Case Study of He’nan Province[J].Research of Soil and Water Conservation,2019,26(05):304-311.

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Spatiotemporal Variation Characteristics and Influencing Factors of Rural Residential Land in Key Agricultural Areas—A Case Study of He’nan Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 05 Page number: 304-311 Column: Public date: 2019-09-06

Title:: Spatiotemporal Variation Characteristics and Influencing Factors of Rural Residential Land in Key Agricultural Areas—A Case Study of He’nan Province

Author(s):: YANG Menghao¹, LIU Amin², CAO Lianhai¹, YAN An¹, WANG Shixing¹; 1. College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China;
2. School of Marxism, North China University of Water Resources and Electric Power, Zhengzhou 450046, China

Keywords:: rural residential land; spatiotemporal evolution; influencing factors; key agricultural areas; He’nan Province

CLC:: F301.24

DOI:: -

Abstract:: The scale of rural residential land in key agricultural areas in China is huge. It is necessary to study the characteristics and developments of rural residential land in rural areas for the current rural residential land consolidation and reconstruction. Taking He’nan Province as an example, using the methods of coefficient of variation, theil index, relative change rate and geographical detector, this paper analyzes the spatiotemporal variation characteristics of rural residential land in He’nan Province from 2000 to 2013, and probes into its dominant influencing factors and influencing mechanisms. The results showed that the total amount of rural residential land and the per capita land in He’nan Province presented an overall increase trend; the spatial difference of rural residential land quantity in He’nan Province expanded slightly, the spatial difference of land quantity change in rural residential areas was obvious in He’nan Province, the number of counties with different increasing ranges was more than the number of counties with their corresponding decreasing ranges, and the rate of change of rural residential land in most counties was higher than the average level of the whole province. The factors such as the number of rural households, the rural resident population, the gross agricultural output value and the total power of agricultural machinery are the dominant factors to drive the variation of rural residential land. The results can provide an objective basis for the coordinated development of rural residential areas and social economy in He’nan Province, and provide the scientific reference for the related studies of similar agricultural areas.

References:: [1] 海贝贝,李小建,许家伟.巩义市农村居民点空间格局演变及其影响因素[J].地理研究,2013,32(12):2257-2269.
[2] 谭雪兰,周国华,朱苏晖,等.长沙市农村居民点景观格局变化及地域分异特征研究[J].地理科学,2015,35(2):204-210.
[3] Zhou G, He Y, Tang C, et al. Dynamic mechanism and present situation of rural settlement evolution in China[J]. Journal of Geographical Sciences, 2013,23(3):513-524.
[4] Chen R, Ye C, Cai Y, et al. The impact of rural out-migration on land use transition in China:Past, present and trend[J]. Land Use Policy, 2014,40(4):101-110.
[5] 张富刚,刘彦随.中国区域农村发展动力机制及其发展模式[J].地理学报,2008,63(2):115-122.
[6] 刘彦随.科学推进中国农村土地整治战略[J].中国土地科学,2011,25(4):3-8.
[7] 田光进,刘纪远,庄大方.近10年来中国农村居民点用地时空特征[J].地理学报,2003,58(5):651-658.
[8] 任平,洪步庭,周介铭.基于空间自相关模型的农村居民点时空演变格局与特征研究[J].长江流域资源与环境,2015,24(12):1993-2002.
[9] 刘超,许月卿,王惠,等.关中地区农村居民点用地数量变化时空特征及影响因素分析[J].北京师范大学学报:自然科学版,2018,54(3):300-307.
[10] 贺贤华,杨昕,毛熙彦,等.基于加权Voronoi多边形的山区农村居民点优化布局:以重庆市崇龛镇与石龙镇为例[J].中国农业资源与区划,2016,37(1):80-89.
[11] 陈振杰,李满春,刘永学.基于GIS的桐庐县农村居民点空间格局研究[J].长江流域资源与环境,2008,17(2):180-184.
[12] 谭雪兰,张炎思,谭洁,等.江南丘陵区农村居民点空间演变特征及影响因素研究:以长沙市为例[J].人文地理,2016,31(1):89-93,139.
[13] 赵冰雪,夏敏,符海月.农村居民点动态演变及驱动机制研究:以江苏省宜兴市为例[J].地域研究与开发,2015,34(1):150-154.
[14] 冯应斌,杨庆媛.1980-2012年村域居民点演变特征及其驱动力分析[J].农业工程学报,2016,32(5):280-288.
[15] 杨俊,王占岐,邹利林,等.基于村尺度的山区农村居民点用地现状及其整理时序研究[J].经济地理,2013,33(5):150-157.
[16] 舒帮荣,李永乐,曲艺,等.经济发达地区镇域农村居民点演变驱动力空间差异研究:以太仓市陆渡镇和浏河镇为例[J].长江流域资源与环境,2014,23(6):759-766.
[17] 李裕瑞,刘彦随,龙花楼.中国农村人口与农村居民点用地的时空变化[J].自然资源学报,2010,25(10):1629-1638.
[18] 冯佰香,何改丽,黄日鹏.农村居民点时空变化特征及驱动力分析:以宁波市北仑区为例[J].生态学杂志,2018,37(2):523-533.
[19] 杨忍,刘彦随,龙花楼,等.基于格网的农村居民点用地时空特征及空间指向性的地理要素识别:以环渤海地区为例[J].地理研究,2015,34(6):1077-1087.
[20] 鄂施璇,雷国平,宋戈.松嫩平原粮食主产区农村居民点格局及影响因素分析[J].农业工程学报,2016,32(18):234-240.
[21] 刘仙桃,郑新奇,李道兵.基于Voronoi图的农村居民点空间分布特征及其影响因素研究:以北京市昌平区为例[J].生态与农村环境学报,2009,25(2):30-33.
[22] 焦贝贝,石培基,刘春芳,等.黄土高原低山丘陵区农村居民点分布与地形因子关系研究:以兰州市七里河区为例[J].资源科学,2013,35(8):1719-1727.
[23] 邓楚雄,李晓青,向云波,等.长株潭城市群地区耕地数量时空变化及其驱动力分析[J].经济地理,2013,33(6):142-147.
[24] 肖思思,吴春笃,储金宇.1980-2005年太湖地区土地利用变化及驱动因素分析[J].农业工程学报,2012,28(23):1-11.
[25] Wang J F, Li X H, Christakos G, et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China[J]. International Journal of Geographical Information Science, 2010,24(1):107-127.
[26] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[27] 舒帮荣,曲艺,李永乐,等.不同栅格尺度下镇域农村居民点变化驱动力研究:以太仓市浏河镇为例[J].水土保持研究,2014,21(2):127-132.
[28] 冯长春,赵若曦,古维迎.中国农村居民点用地变化的社会经济因素分析[J].中国人口·资源与环境,2012,22(3):6-12.
[29] 谭雪兰,钟艳英,段建南,等.快速城市化进程中农村居民点用地变化及驱动力研究:以长株潭城市群为例[J].地理科学,2014,34(3):309-315.
[30] 徐羽,钟业喜,徐丽婷,等.江西省农村居民点时空特征及其影响因素研究[J].生态与农村环境学报,2018,34(6):504-511.
[31] 王介勇,刘彦随,陈玉福.黄淮海平原农区典型村庄用地扩展及其动力机制[J].地理研究,2010,29(10):1833-1840.
[32] 段增强, Verburg P H,张凤荣,等.土地利用动态模拟模型的构建及其应用:以北京市海淀区为例[J].地理学报,2004,59(6):1037-1047.

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