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[1]LI Dan,LIU Dandan,MEI Xiaodan.Security Classification and Regional Differentiation of Cultivated Land Resources in Nenjiang County Based on Raster[J].Research of Soil and Water Conservation,2017,24(04):140-144.

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Security Classification and Regional Differentiation of Cultivated Land Resources in Nenjiang County Based on Raster

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 04 Page number: 140-144 Column: Public date: 2017-08-28

Title:: Security Classification and Regional Differentiation of Cultivated Land Resources in Nenjiang County Based on Raster

Author(s):: LI Dan^1,2, LIU Dandan², MEI Xiaodan²; 1. Engineering Company of Harbin Measuring College, Harbin 150008, China;
2. Heilongjiang Institute of Technology, Harbin 150050, China

Keywords:: cultivated land resource; security classification; raster data; Nenjiang County

CLC:: F301.2

DOI:: -

Abstract:: The security of cultivated land resources is the foundation of protecting farmland and ensuring national food security, and its spatial security pattern is an important basis for land use planning. Taking Nenjiang County, a typical region of northern Songnen Plain in Heilongjiang Province, as the study area, based on raster data of 1 km scale, RS and GIS technology, we calculated the security value of cultivated land resources for each grid by using the method of factor analysis and weighted evaluation; by using the natural break point safety law pattern, we divided the cultivated land resources security grades in study area into 5 levels: level I (very safe), level Ⅱ (safe), Ⅲ (basic safe), Ⅳ (critical safe), V (not safe) five levels, and examined its spatial differentiation. The results show that the raster data can provide accurate data for the research on the security of cultivated land resources; the proportion of cultivated land resources security level in study area is the highest in level Ⅳ, the lowest in level V, the proportions are 25.74% and 8.36%, respectively, most of the areas are in the safe condition, and the proportion of the critical safe level is slightly higher; cultivated land resources security level decreases with the increase of elevations and slope gradients, from the plains to the low altitude hills transition, showing a spatial distribution of security level pattern gradually decreases from west to east, and the distribution is different in each administrative units. The results can provide references for the sustainable utilization of cultivated land resources in this county.

References:: [1] 许国平.中国土地资源安全评价研究进展及展望[J].水土保持研究,2012,19(2):276-279.
[2] 秦中春.城镇化过程中耕地资源保护面临的挑战与政策建议[J].重庆理工大学学报:社会科学版,2013,27(3):1-5.
[3] 宋戈,李丹,王越,雷国平.松嫩高平原黑土区耕地利用系统安全格局及其空间演变[J].农业工程学报,2014,30(4):212-221.
[4] 王枫,汤惠君.中国耕地资源安全研究进展[J].中国农学通报,2011,27(3):471-475.
[5] 陈文波,赵丽红,钱奇霞.鄱阳湖区土地利用安全格局研究[J].农业工程学报,2008,24(7):86-90.
[6] 刘艳艳,吴大放,董玉祥,等.珠海市土地利用空间格局与地形的相关性研究[J].地理与地理信息科学,2010,26(3):68-72.
[7] 徐嘉兴,李钢,渠俊峰,等.洪泽湖地区土地利用与景观改格局演变[J].长江流域资源与环境,2011,20(10):1211-1216.
[8] 王计平,陈利顶,汪亚峰.黄土高原地区景观格局演变研究综述[J].地理科学进展,2010,29(5):535-542.
[9] 韩武波,贾薇,孙泰森.基于3S的平朔矿区土地利用及景观格局演变研究[J].中国土地科学,2012,26(4):60-65.
[10] 宫兆宁,张翼然,宫辉力,等.北京湿地景观格局演变特征与驱动机制分析[J].地理学报,2011,66(1):77-88.
[11] 黎燕琼,张海鸥,龚固堂,等.成都市景观生态安全格局动态变化[J].西南林业大学学报,2012,32(6):48-58.
[12] 蒙吉军,朱利凯,杨倩,等.鄂尔多斯市土地利用生态安全格局构建[J].生态学报,2012,32(21):6755-6766.
[13] 徐辉,雷国平,崔登攀,等.耕地生态安全评价研究:以黑龙江省宁安市为例[J].水土保持研究,2011,18(6):180-189.
[14] 张锐,刘友兆.我国耕地生态安全评价及障碍因子诊断[J].长江流域资源与环境,2013,22(7):945-951.
[15] 唐秀美,陈百明,路庆斌,等.栅格数据支持下的耕地适宜性评价研究:以山东省章丘市为例[J].资源科学,2009,31(12):2164-2171.
[16] 李丹,杨金玲,张玉娟,梁欣.基于RS/GIS的耕地资源变化特征分析[J].测绘与空间地理信息,2015,38(7):9-11.
[17] 朱红波.中国耕地资源安全研究[D].武汉:华中农业大学,2006.

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