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Health evaluation of cultivated land in typical counties of loess hilly region: A case study of Yiyang county, Henan province |
MENG Qingxiang1, ZHANG Likun1, YUN Wenju2,3, WU Tian1, CHEN Bingfei4, WEI Hejie1 |
1. College of Resource and Environment, Henan Agricultural University, 450002, Zhengzhou, China; 2. Key Laboratory for Agricultural Land Quality, Monitoring and Control, Ministry of Natural Resources, 100193, Beijing, China; 3. Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, 100035, Beijing, China; 4. College of Resource and Environment, Southwest University, 400716, Chongqing, China |
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Abstract [Background] Cultivated land health is the foundation of food security and the foundation of a nation. It is particularly important to explore farmland health evaluation methods that conform to the new era. Yiyang county is located in the loess hilly area. It is a typical ecologically fragile area and concentrated contiguous poverty area in China. The terrain is fragmented and complex. The quality of cultivated land and the spatial heterogeneity of the soil environment are strong. The research can be used to promote the high efficiency of cultivated land resources in the loess hilly area. [Methods] In order to meet the needs of cultivated land management in the new era, this paper selected 3 criteria layers of cultivated land quality, cultivated land productivity and soil environment, a total of 16 indexes to build a cultivated land health evaluation system in the loess hilly region. Cultivated land quality includes 8 indicators: surface soil texture, depth from barrier layer to surface, profile structure, organic matter content, topographic slope, soil pH, irrigation guarantee rate and drainage conditions. Cultivated land productivity includes 1 indicator of unit yield of cultivated land. The soil environment contains 7 evaluation indicators of beneficial trace elements and soil erosion. The beneficial trace elements are: effective B, effective Mn, effective Mo, effective Fe, effective Cu and effective Zn. The methods of layer overlay quantitative evaluation, analytic hierarchy process and minimum factor were used to evaluate the health status of cultivated land in Yiyang county.[Results] The quality score of the cultivated land in Yiyang county is between 62.7-100.0, The area composition of first to fourth grade is 16.38%, 75.88%, 7.62% and 0.12%, respectively. The quality of cultivated land on both sides of Luohe river is the best, and the overall quality of cultivated land on the north side of the river is higher than that on the south side. The cultivated land productivity index is between 0.18 and 1.00, and the area ratio of productivity levels from low to high is 2.87%, 21.89%, 46.12%, 21.25%, and 7.87%, respectively. The areas of soil environmental index from low to high were 2.99%, 36.69%, 47.77% and 12.56%, respectively. The overall level of soil environmental assessment is medium to low. And the differentiated characteristics of the cultivated land health evaluation results in Yiyang county are obvious. The proportion of healthy, mild sub-health, moderate sub-health and unhealthy areas is 16.08%, 33.54%, 45.47% and 4.91%, respectively. Most areas of Yiyang county are in mild sub-health and moderate sub-health status. The health status of the cultivated land on the 2nd side of Luohe river is the best. Huaguoshan town and Shangguan town in the southwest of the study area are in the lowest cultivated land health levels.[Conclusions] Based on the characteristics of the loess hilly region and the human demand for cultivated land, the author breaks the conventional comprehensive method model and conducts targeted evaluation of cultivated land health in Yiyang county. The research on cultivated land health in the loess hilly area provides new opportunities for cultivated land protection. The idea provides a scientific basis for the improvement of cultivated land quality and a useful reference for the research of cultivated land resource safety.
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Received: 14 November 2019
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|
[1] |
MUELLER L, SCHINDLER U, MIRSCHEL W, et al. Assessing the productivity function of soils:A review[J]. Agronomy for Sustainable Development, 2010, 30(3):601.
|
[2] |
付国珍, 摆万奇. 耕地质量评价研究进展及发展趋势[J]. 资源科学, 2015,37(2):226. FU Guozhen, BAI Wanqi. Advances and prospects of evaluating cultivated land quality[J]. Resources Science, 2015, 37(2):226.
|
[3] |
吴大放, 刘艳艳, 董玉祥, 等. 我国耕地数量、质量与空间变化研究综述[J]. 热带地理, 2010,30(2):108. WU Dafang, LIU Yanyan, DONG Yuxiang,et al. Review on the research of quantity, quality and spatial change of cultivated land in China[J]. Tropical Geography, 2010,30(2):108.
|
[4] |
辛芸娜, 范树印, 孔祥斌, 等. 四重质量维度下的县域耕地质量评价方法研究[J]. 资源科学, 2018,40(4):737. XIN Yunna, FAN Shuyin, KONG Xiangbin, et al. Evaluation of cultivated land quality based on four quality dimensions[J]. Resources Science, 2018, 40(4):737.
|
[5] |
SASH M, ECKELMAN. M J. Geospatial assessment of regional scale bioenergy production potential on marginal and degraded land[J]. Resources Conservation & Recycling, 2018, 128(1):90.
|
[6] |
SMITH L, OBEID A, JENSEN H. The geography and causes of food insecurity in developing countries[J]. Agriculture Economies, 2000(22):199.
|
[7] |
张红富, 周生路, 吴绍华, 等. 省域尺度耕地产能空间分异规律及其影响因子[J]. 农业工程学报, 2010,26(8):308. ZHANG Hongfu, ZHOU Lusheng, WU Shaohua, et al. Provincial scale spatial variation of cultivated land production capacity and its impact factors[J]. Transactions of the CSAE, 2010, 26(8):308.
|
[8] |
童陆亿, 胡守庚, 杨剩富. 土地整治区耕地质量重估方法研究[J]. 中国土地科学, 2015,29(2):60. TONG Luyi, HU Shougeng, YANG Shengfu, A new method for arable land quality reevaluation in land consolidation areas[J]. China Land Science, 2015, 29(2):60.
|
[9] |
陈志凡, 李勤奋, 赵烨. 基于熵权的模糊物元模型在农用地土壤健康评价中的应用[J]. 中国土地科学, 2008,22(11):31. CHEN Zhifan, LI Qinfen, ZHAO Ye. Application of the fuzzy matter-element model based on coefficients of entropy to evaluation of agricultural land soil health[J]. China Land Science, 2008, 22(11):31.
|
[10] |
李强. 基于能值分析与模糊评价的粮食主产区耕地健康评价:以石家庄市栾城县为例[J]. 地理与地理信息科学, 2012,28(6):85. LI Qiang. Health evaluation of cultivated land in the major grain production region based on emergy analysis and fuzzy decisions:A case study in Luancheng county[J]. Geography and Geo-Information Science, 2012,28(6):85.
|
[11] |
谭晶今. 基于GIS的西南丘陵地区耕地健康评价研究:以梁平区福禄镇为例[D]. 重庆:重庆交通大学, 2017:16. TAN Jingjin. GIS-based evaluation of cultivated land health in southwest hilly areas:A case study of Fulu town, Liangping district[D]. Chongqing:Chongqing Jiaotong University, 2017:16.
|
[12] |
杨希越, 张明, 刘友兆,等. 基于模糊物元分析法的耕地健康评价[J]. 经济研究导刊, 2015(17):40. YANG Xiyue, ZHANG Ming, LIU Youzhao, et al.Health assessment of cultivated land based on the fuzzy matter element analysis[J]. Economic Research Guide, 2015(17):40.
|
[13] |
余慧敏, 郭熙. 生态视角下南方典型丘陵区耕地健康诊断:以江西省奉新县为例[J]. 中国土地科学, 2019,33(5):78. YU Huimin, GUO Xi. Health diagnosis of cultivated land in typical hilly areas of southern China from the ecological perspective[J]. China Land Science, 2019, 33(5):78.
|
[14] |
赵瑞, 吴克宁,张小丹,等.粮食主产区耕地健康产能评价:以河南省温县为例[J]. 中国土地科学, 2019,33(2):67. ZHAO Rui, WU Kening, ZHANG Xiaodan, et al. Evaluation on farmland health productivity in main grain production areas:A case study in Wen county of Henan province[J]. China Land Science, 2019,33(2):67.
|
[15] |
李强, 彭文英.生态脆弱区耕地健康诊断体系构建及评价实践[J]. 干旱区资源与环境, 2014,28(7):67. LI Qiang, PENG Wenying. Diagnosis system development and assessment on the cultivated land health in ecological fragile region[J].Journal of Arid Land Resources and Environment, 2014, 28(7):67.
|
[16] |
李强, 彭文英, 王建强, 等. 乡镇企业发达区耕地健康评价与驱动机理研究[J]. 自然资源学报. 2015.30(9):1499. LI Qiang, PENG Wenying,WANG Jianqiang, et al. Health assessment and driving mechanism analysis of cultivated land in the township enterprises developed region[J]. Journal of Natural Resources. 2015, 30(9):1499.
|
[17] |
郧文聚, 吴克宁,张小丹. 中国耕地健康问题及防治对策[J]. 中国发展, 2019,19(4):34. YUN Wenju, WU Kening, ZHANG Xiaodan. Health problems and prevention countermeasures of cultivated land in China[J].China Development, 2019, 19(4):34.
|
[18] |
单美. 耕地健康评价及其应用研究[D]. 山东泰安:山东农业大学, 2015:8. SHAN Mei. Cultivation of cultivated land health and its application[D]. Tai'an,Shandong:Shandong Agricultural University, 2015:8.
|
[19] |
辛芸娜, 孔祥斌, 郧文聚. 北京大都市边缘区耕地多功能评价指标体系构建:以大兴区为例[J]. 中国土地科学, 2017,31(8):77. XIN Yunna, KONG Xiangbin, YUN Wenju. Design and application of multi-functional evaluation index system for cultivated land in metropolitan fringe of Beijing:A case study in Daxing district[J]. China Land Science, 2017, 31(8):77.
|
[20] |
欧阳真. 沅江市耕地质量和耕地产能评价研究[D].武汉:华中师范大学, 2018:19. OU Yangzhen. Evaluation of cultivated land quality and cultivated land productivity in Qujiang city[D]. Wuhan:Central China Normal University, 2018:19.
|
|
|
|