Land Use and Agricultural Development

Spatiotemporal variation and evaluation of cultivated land quality grade in arid areas: A case of Xining City

  • Xue PAN ,
  • Yuqi GUAN ,
  • Zhandong PAN ,
  • Jie LIU ,
  • Liqun CAI ,
  • Bo DONG ,
  • Jian DU
Expand
  • 1. Heilongjiang Institute of Black Soil Conservation and Utilization, Harbin 150000, Heilongjiang, China
    2. College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, Gansu, China
    3. Institute of Dryland Agriculture, Gansu Academy of Agricultural Sciences, Lanzhou 730070, Gansu, China

Received date: 2022-08-11

  Revised date: 2022-11-07

  Online published: 2023-06-05

Abstract

Taking Xining City of Qinghai Province, China, as the research object, based on the quality grade of arable land (GB/T33469-2016), the Delphi method, hierarchical analysis, and fuzzy mathematics were used to construct the evaluation index system of arable land quality in Xining City. Combined with geographic information system software technology, the quality of arable land in Xining City in 2015 and 2018 was evaluated, the spatial and temporal distribution of arable land quality and soil nutrient characteristics in Xining City were analyzed, and the current situation of arable land quality in Xining was explored. The results showed the following: (1) The average arable land quality grades in 2015 and 2018 were 6.74 and 6.33, respectively, with an improvement of 0.41 between 4 a. The overall improvement of arable land quality grades mainly came from the grades third, fourth, fifth, and seventh, whose total area of high and medium grades increased by 1.49% in 2018 compared with 2015. (2) Regarding 4 a between the quality level of arable land in the spatial distribution of large differences, high and medium lands are mainly concentrated in the central Huanzhong District and the northern Datong County, low land is mainly distributed in the edge by the mountains and higher altitude areas, and the quality of arable land improved mainly from Datong County, Huangyuan County, and Huanzhong District. (3) Compared with 2015, the content of soil organic matter, available phosphorus, and rapidly available potassium increased in 2018, among which the evaluation grade of available phosphorus content increased. This study performed a comprehensive evaluation of the quality of arable land in the whole area of Xining City, and the results can well reflect the current quality of arable land in the area and have guiding significance for agricultural production.

Cite this article

Xue PAN , Yuqi GUAN , Zhandong PAN , Jie LIU , Liqun CAI , Bo DONG , Jian DU . Spatiotemporal variation and evaluation of cultivated land quality grade in arid areas: A case of Xining City[J]. Arid Land Geography, 2023 , 46(5) : 793 -803 . DOI: 10.12118/j.issn.1000-6060.2022.393

References

[1] 鲁明星, 贺立源, 吴礼树. 我国耕地地力评价研究进展[J]. 生态环境, 2006, 15(4): 866-871.
[1] [Lu Mingxing, He Liyuan, Wu Lishu. Fertility evaluation of cultivated land in China: A review[J]. Ecology and Environmen, 2006, 15(4): 866-871. ]
[2] 陈印军, 向雁, 金轲. 论耕地质量红线[J]. 中国农业资源与区划, 2019, 40(3): 1-4.
[2] [Chen Yinjun, Xiang Yan, Jin Ke. On arable land quality red line[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2019, 40(3): 1-4. ]
[3] Li F P, Liu W, Lu Z B, et al. A multi-criteria evaluation system for arable land resource assessment[J]. Environmental Monitoring and Assessment, 2020, 192(2): 79, doi: 10.1007/s10661-019-8023-x.
[4] 李秀军, 田春杰, 徐尚起, 等. 我国农田生态环境质量现状及发展对策[J]. 土壤与作物, 2018, 7(3): 267-275.
[4] [Li Xiujun, Tian Chunjie, Xu Shangqi, et al. Current situation of ecological environment quality and countermeasures in China’s farmland[J]. Soil and Crop, 2018, 7(3): 267-275. ]
[5] 杨文杰, 巩前文. 城乡融合视域下农村绿色发展的科学内涵与基本路径[J]. 农业现代化研究, 2021, 42(1): 18-29.
[5] [Yang Wenjie, Gong Qianwen. The scientific connotation and the basic path of rural green development from the perspective of urban-rural integration[J]. Research of Agricultural Modernization, 2021, 42(1): 18-29. ]
[6] 文森. 重庆市耕地资源安全与预警研究[D]. 重庆: 西南大学, 2008.
[6] [Wen Sen. Study on cultivated land security and early warning: A case study of Chongqing City[D]. Chongqing: Southwest University, 2008. ]
[7] 李效顺, 曲福田, 谭荣, 等. 中国耕地资源变化与保护研究——基于土地督察视角的考察[J]. 自然资源学报, 2009, 24(3): 387-401.
[7] [Li Xiaoshun, Qu Futian, Tan Rong, et al. Research on the variations and protection of the cropland in China[J]. Journal of Natural Resurous, 2009, 24(3): 387-401. ]
[8] 姚东恒, 裴久渤, 汪景宽. 东北典型黑土区耕地质量时空变化研究[J]. 中国生态农业学报(中英文), 2020, 28(1): 104-114.
[8] [Yao Dongheng, Pei Jiubo, Wang Jingkuan. Temporal-spatial changes in cultivated land quality in a black soil region of northeast China[J]. Chinese Journal of Eco-Agriculture, 2020, 28(1): 104-114. ]
[9] 康钦俊. 黄土高原区土壤养分空间变异及其耕地质量评价[D]. 咸阳: 西北农林科技大学, 2019.
[9] [Kang Qinjun. Spatial variability of soil nutrients in the Loess Plateau region and evaluation of its arable land quality[D]. Xianyang: Northwest A & F University, 2019. ]
[10] 戴文举, 王东杰, 卢瑛, 等. 华南地区县域耕地质量和产能评价研究——以广东吴川为例[J]. 农业资源与环境学报, 2019, 36(4): 419-430.
[10] [Dai Wenju, Wang Dongjie, Lu Ying, et al. Evaluation of county level cultivated land quality and productivity in south China: A case study of Wuchuan City, Guangdong Province[J]. Journal of Agricultural Resources and Environment, 2019, 36(4): 419-430. ]
[11] 王昊煜, 高培超, 谢一茹, 等. 基于改进型NSGA-Ⅱ算法的西宁市土地利用多目标优化[J]. 地理与地理信息科学, 2020, 36(6): 84-89.
[11] [Wang Haoyu, Gao Peichao, Xie Yiru, et al. Multi-objective optimization of land use in Xining City based on improved NSGA-Ⅱ[J]. Geography and Geo-information Science, 2020, 36(6): 84-89. ]
[12] 司慧娟, 袁春, 曹银贵, 等. 青海省耕地利用变化区域差异及管理对策研究[J]. 水土保持研究, 2013, 20(6): 321-325.
[12] [Si Huijuan, Yuan Chun, Cao Yingui, et al. Research on regional differences of cultivated land changes and countermeasures in Qinghai Province[J]. Research of Soil and Water Conservation, 2013, 20(6): 321-325. ]
[13] Li Q X, Jia Z Q, Zhu Y S, et al. Spatial heterogeneity of soil nutrients after the establishment of Caragana intermedia plantation on sand dunes in alpine sandy land of the Tibet Plateau[J]. PLoS One, 2015, 10(5): e124456, doi: 10.1371/journal.pone.0124456.
[14] Roger A, Libohova Z, Sinaj S, et al. Spatial variability of soil phosphorus in the Fribourg Canton, Switzerland[J]. Geoderma, 2014, 217-218: 26-36.
[15] 周岩. 基于局域空间自相关的吉林省耕地质量空间分布分析[J]. 安徽农业科学, 2017, 45(32): 200-203, 208.
[15] [Zhou Yan. Spatial distribution of cropland quality in Jilin Province based on local spatial auto-correlation[J]. Journal of Anhui Agricultural Sciences, 2017, 45(32): 200-203, 208. ]
[16] 向丽, 周伟, 任君, 等. 基于DPSIRM模型的高原城市湿地生态安全评价——以湟水流域西宁段为例[J]. 生态学杂志, 2022, 41(10): 2064-2071.
[16] [Xiang Li, Zhou Wei, Ren Jun, et al. Ecological security evaluation of plateau urban wetland based on DPSIRM model: With Xining section of Huangshui Basin as an example[J]. Chinese Journal of Ecology, 2022, 41(10): 2064-2071. ]
[17] 李子杰, 高沪宁, 丁琪洵, 等. 基于Moran’s I的安徽省太湖县耕地质量时空格局分析[J]. 水土保持通报, 2021, 41(3): 350-356.
[17] [Li Zijie, Gao Huning, Ding Qixun, et al. Analysis on temporal and spatial patterns of cultivated land quality based on Moran’s I in Taihu County, Anhui Province[J]. Bulletin of Soil and Water Conservation, 2021, 41(3): 350-356. ]
[18] 汪甜甜, 费坤, 江文娟, 等. 宣州区耕地质量等级评价及灌排能力对耕地质量影响[J]. 灌溉排水学报, 2021, 40(11): 79-89.
[18] [Wang Tiantian, Fei Kun, Jiang Wenjuan, et al. Soil quality classification and the impact of irrigation and drainage in the region of Xuanzhou in Anhui Province[J]. Journal of Irrigation and Drainage, 2021, 40(11): 79-89. ]
[19] 侯淑涛, 邸延顺, 程光大, 等. 黑龙江明水县耕地质量综合评价[J]. 水土保持研究, 2015, 22(4): 232-236, 240.
[19] [Hou Shutao, Di Yanshun, Cheng Guangda, et al. Comprehensive evaluation of cultivated land quality in Mingshui County, Heilongjiang Province[J]. Research of Soil and Water Conservation, 2015, 22(4): 232-236, 240. ]
[20] 张兴嘉, 蔡立群, 董博. 基于县域耕地资源管理信息系统的土壤综合肥力评价[J]. 水土保持研究, 2012, 19(4): 138-141.
[20] [Zhang Xingjia, Cai Liqun, Dong Bo. The comprehensive soil fertility evaluation based on the arable land resources management information system of a county[J]. Research of Soil and Water Conservation, 2012, 19(4): 138-141. ]
[21] 张鸿辉, 刘友兆, 曾永年, 等. 基于GIS的耕地质量预警系统设计与实现[J]. 计算机应用研究, 2008, 25(10): 3174-3176, 3180.
[21] [Zhang Honghui, Liu Youzhao, Zeng Yongnian, et al. Design and implementation of cultivated land quality early-warning system based on GIS[J]. Application Research of Computers, 2008, 25(10): 3174-3176, 3180. ]
[22] 赵彦锋, 程道全, 陈杰, 等. 耕地地力评价指标体系构建中的问题与分析逻辑[J]. 土壤学报, 2015, 52(6): 1197-1208.
[22] [Zhao Yanfeng, Cheng Daoquan, Chen Jie, et al. Problems and analytical logic in building cultivated land productivity evaluation index system[J]. Acta Pedologica Sinica, 2015, 52(6): 1197-1208. ]
[23] 赵小娟, 叶云, 周晋皓, 等. 珠三角丘陵区耕地质量综合评价及指标权重敏感性分析[J]. 农业工程学报, 2017, 33(8): 226-235.
[23] [Zhao Xiaojuan, Ye Yun, Zhou Jinhao, et al. Comprehensive evaluation of cultivated land quality and sensitivity analysis of index weight in hilly region of Pearl River Delta[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(8): 226-235. ]
[24] 吕宁, 吕新, 张泽, 等. 基于GIS的绿洲农田土壤养分现状及地力评价研究[J]. 干旱地区农业研究, 2012, 30(2): 8-13.
[24] [Lü Ning, Lü Xin, Zhang Ze, et al. Research on soil nutrient status and soil fertility evaluation based on GIS[J]. Agricultural Research in the Arid Areas, 2012, 30(2): 8-13. ]
[25] 高涵, 陈伟强, 郧文聚, 等. 东北典型平原区耕地健康产能评价与验证——以吉林省大安市为例[J]. 土壤通报, 2020, 51(4): 784-794.
[25] [Gao Han, Chen Weiqiang, Yun Wenju, et al. Evaluation and verification of healthy productivity of cultivated land in the typical plain area of northeast China: A case study of Da’an City, Jilin Province[J]. Chinese Journal of Soil Science, 2020, 51(4): 784-794. ]
[26] 谢叶伟, 赵军, 李勇, 等. 基于GIS的典型黑土区海伦市耕地地力评价研究[J]. 干旱区地理, 2011, 34(2): 325-330.
[26] [Xie Yewei, Zhao Jun, Li Yong, et al. Assessment of cropland productivity based on GIS for typical black soil region at Hailun County[J]. Arid Land Geography, 2011, 34(2): 325-330. ]
[27] 孙妍芳, 裴久渤, 张立江, 等. 辽宁棕壤耕地质量评价及障碍因素类型分区研究[J]. 中国农业资源与区划, 2017, 38(11): 130-137, 144.
[27] [Sun Yanfang, Pei Jiubo, Zhang Lijiang, et al. Assessment of cultivated land quality and obstacle factors zoning of brown earth: A case study of Liaoning Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(11): 130-137, 144. ]
[28] 陈初红, 邹忠, 周鹤. 耕地地力评价因子权重及隶属度的确定[J]. 现代农业科技, 2011(12): 280-281.
[28] [Chen Chuhong, Zou Zhong, Zhou He. Determination of weighting and membership of farmland evaluation factors[J]. Modern Agricultural Science and Technology, 2011(12): 280-281. ]
[29] 马倩倩, 董博, 许旺旺, 等. 干旱区耕地质量等级评价及土壤养分与盐渍化的分析研究——以民勤绿洲为例[J]. 干旱区地理, 2021, 44(2): 514-524.
[29] [Ma Qianqian, Dong Bo, Xu Wangwang, et al. Evaluation of the quality level of arable land in arid areas and the analysis of soil nutrients and salinization: A case study of Minqin Oasis[J]. Arid Land Geography, 2021, 44(2): 514-524. ]
[30] 李双异, 刘慧屿, 白伟, 等. 耕地地力演变及其与种植业结构关系分析[J]. 土壤通报, 2016, 47(6): 1300-1305.
[30] [Li Shuangyi, Liu Huiyu, Bai Wei, et al. Evolution of cultivated land productivity and its relationship with planting structure[J]. Chinese Journal of Soil Science, 2016, 47(6): 1300-1305. ]
[31] 郁洁, 高晖, 李文西, 等. 基于GIS的江苏省耕地质量等级评价[J]. 中国土壤与肥料, 2022(3): 222-230.
[31] [Yu Jie, Gao Hui, Li Wenxi, et al. Evaluation of cultivated land quality in Jiangsu Province based on GIS[J]. Soils and Fertilizers Sciences in China, 2022(3): 222-230. ]
[32] 李小刚, 马友华, 张益, 等. 基于模糊评价与BP神经网络模型的耕地质量评价对比研究——以淮北平原凤台县为例[J]. 土壤通报, 2015, 46(4): 816-822.
[32] [Li Xiaogang, Ma Youhua, Zhang Yi, et al. Comparison of fuzzy evaluation and BP neural network applied for cultivated land quality evaluation: A case study at Fengtai County[J]. Chinese Journal of Soil Science, 2015, 46(4): 816-822. ]
[33] 郑梦蕾, 丁世伟, 李子杰, 等. 耕地质量监测与评价研究进展[J]. 环境监测管理与技术, 2021, 33(3): 9-14.
[33] [Zheng Menglei, Ding Shiwei, Li Zijie, et al. Research progress of cultivated land quality monitoring and evaluation[J]. The Administration and Technique of Environmental Monitoring, 2021, 33(3): 9-14. ]
[34] 初侨, 燕艳华, 翟明普, 等. 现代农业全产业链标准体系发展路径与对策研究[J]. 中国工程科学, 2021, 23(3): 8-15.
[34] [Chu Qiao, Yan Yanhua, Zhai Mingpu, et al. Whole industrial chain standards system of modern agriculture: Development path and countermeasures[J]. Strategic Study of CAE, 2021, 23(3): 8-15. ]
[35] 杨子生. 基于可持续发展的山区省份耕地总量动态平衡研究——以云南省为例[J]. 资源科学, 2001, 23(5): 33-40.
[35] [Yang Zisheng. A study on the dynamic balance of total cultivated land amount in the province of mountain region on the basis of sustainable development: Taking Yunnan Province as an example[J]. Resources Science, 2001, 23(5): 33-40. ]
[36] Yin Q Y, Duan Z S, Li X, et al. Cultivated land quality analysis of Karst mountain areas based on GIS: A case study of Jingxi County[J]. Hunan Agricultural Science & Technology Newsletter: HASTN, 2014, 15(8): 1407, doi: 10.16175/j.cnki.1009-4229.2014.08.089.
[37] 祖健, 郝晋珉, 陈丽, 等. 耕地数量、质量、生态三位一体保护内涵及路径探析[J]. 中国农业大学学报, 2018, 23(7): 84-95.
[37] [Zu Jian, Hao Jinmin, Chen Li, et al. Analysis on trinity connotation and approach to protect quantity, quality and ecology of cultivated land[J]. Journal of China Agricultural University, 2018, 23(7): 84-95. ]
[38] 康甜甜. 基于灰靶模型的宜兴市耕地质量评价[D]. 南京: 南京农业大学, 2016.
[38] [Kang Tiantian. Evaluation of arable land quality in Yixing City based on grey target model[D]. Nanjing: Nanjing Agricultural University, 2016. ]
Outlines

/