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[1]ZANG Liang,LIANG Hongying,LIANG Wentao,et al.Cultivated Land Fragmentation and Affecting Factors of Lulong County Based on Landscape Pattern[J].Research of Soil and Water Conservation,2018,25(06):265-269,276.

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Cultivated Land Fragmentation and Affecting Factors of Lulong County Based on Landscape Pattern

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 06 Page number: 265-269,276 Column: Public date: 2018-10-26

Title:: Cultivated Land Fragmentation and Affecting Factors of Lulong County Based on Landscape Pattern

Author(s):: ZANG Liang¹, LIANG Hongying¹, LIANG Wentao², ZHANG Chunli¹; 1. Langfang Botai Real Estate Consulting and Evaluation Co. Ltd., Langfang, Hebei 065000, China;
2. Beijing Bolin Real Estate Assessment Co., Ltd., Beijing 100000, China

Keywords:: fragmentation; cultivated land; geographically weighted regression; Lulong County

CLC:: F323.211

DOI:: -

Abstract:: We took Lulong County as an example, from the principle of landscape ecology average land area index (MPS). We constructed the index system，and evaluated the degree of cultivated land fragmentation in Lulong County based on the number of patch fragmentation index (FN), the average nearest neighbor distance (MNN), edge density index (ED), area weighted shape index (AWMSI) 5 landscape indexes, and then analyzed the influencing factors of cultivated land fragmentation by the geographically weighted regression model. The results showed that the arable land fragmentation in Lulong County was at a low level. The arable lands were seriously fragmented, and mainly distributed in 61 villages of all villages of Lulong County in the southwest, southeast and northern areas of Lulong County; the arable lands were moderately fragmented, mainly distributed in 232 villages in the southeast, southwest and central part of the county; the arable lands were slightly fragmented, mainly distributed in 289 villages in the central and southern parts of the county. The spatial correlation of cultivated land fragmentation in Lulong County was positive, and it also showed obvious spatial clustering characteristics. The influence degree of slope, residential land, river and traffic on the degree of cultivated land fragmentation had spatial nonstationarity. The influence degree of slope was mainly positive, and only a few areas had negative influence; the areas of the positive and negative impacts of residential land on arable land fragmentation accounted for about 50%, but the positive impact degree was small, and the negative effect was significant. The river dominated by positive effect, negative effect area mainly distributed in parts of southeast of the county. The areas of positive and negative influence of traffic factors on cultivated land fragmentation were roughly the same, and the impact intensity was similar.

References:: [1] 李鑫,欧名豪,马贤磊.基于景观指数的细碎化对耕地利用效率影响研究:以扬州市里下河区域为例[J].自然资源学报,2011,26(10):1758-1767.
[2] 李建林,陈瑜琦,江清霞,等.中国耕地破碎化的原因及其对策研究[J].农业经济,2006(6):21-23.
[3] 吕晓,黄贤金,钟太洋,等.中国农地细碎化问题研究进展[J].自然资源学报,2011,4(3):530-540.
[4] 黄思琴,陈英,张仁陟,等.基于景观指数的耕地细碎化与农业经济水平的空间相关性分析[J].干旱地区农业研究,2015,33(3):238-244.
[5] 谭淑豪,曲福田,尼克·哈瑞柯.土地细碎化的成因及其影响因素分析[J].中国农村观察,2003(6):24-30.
[6] 张尹君杰,卓建伟.土地细碎化的正面与负面效应的双重论证:基于河北省农户固定观察点资料的实证研究[J].农林经济管理学报,2008,7(4):25-29.
[7] 李鑫,欧名豪,肖长江,等.基于景观指数的细碎化对耕地生产效率影响研究[J].长江流域资源与环境,2012,21(6):707-713.
[8] 杨伟州.基于景观指数的昌黎县耕地细碎化及其与耕地利用效率关系研究[D].河北保定:河北农业大学,2016.
[9] 吴良林,罗建平,李漫.基于景观格局原理的土地规模化整理潜力评价方法[J].农业工程学报,2010,26(2):300-306.
[10] 邵一希,李满春,陈振杰,等.地理加权回归在区域土地利用格局模拟中的应用:以常州市孟河镇为例[J].地理科学,2010,30(1):92-97.
[11] 郭硕,杨伟州,魏明欢,等.基于地理加权回归的青龙满族自治县耕地细碎化及影响因子分析[J].水土保持研究,2017,24(3):264-269.
[12] 吴莉,侯西勇,徐新良.环渤海沿海区域耕地格局及影响因子分析[J].农业工程学报,2014,30(9):1-10.
[13] 臧亮,张慧,赵红安,等.黄骅市土壤含盐量空间变异特征和影响因素分析[J].土壤通报,2017,48(3):545-551.
[14] 谢花林,刘黎明,李波,等.土地利用变化的多尺度空间自相关分析:以内蒙古翁牛特旗为例[J].地理学报,2006,61(4):389-400.

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