Dynamic Evaluation and Obstacle Factor Diagnosis of Cultivated Land Ecological Security—A Case Study at Counties Along Lower Yellow River
Author:
Clc Number:

X826

  • Article
  • | |
  • Metrics
  • |
  • Reference [28]
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    [Objective] The ecological security of cultivated land in the lower reaches of the Yellow River was dynamically evaluated to diagnose the factors of man-made obstacles, in order to discover the harm caused by unreasonable human behaviors to the ecological security of cultivated land and provide realistic scientific basis for ecological protection and high-quality development of the lower reaches of the Yellow River.[Methods] The cultivated land ecological security evaluation index system was established based on PSR model in 49 counties along the lower reaches of the Yellow River, and matter-element extension and Markov chain model were used in the analysis.[Results] ① From 2000 to 2018, the ecological security level of cultivated land in counties along the lower reaches of the Yellow River showed an overall upward trend, from level Ⅳ to level Ⅰ, especially after 2010. ② From 2000 to 2018, the cultivated land ecological security level of each county and district had a transition from unstable to stable, showing a spatial transition from higher in the northeast and lower in the central and western regions to higher in the northeast-southwest and lower in the central region, and the spatial differences continued to shrink. ③ Per capita arable land area, population density, and the amount of chemical fertilizer used per arable land area were the main human obstacles affecting the ecological security of cultivated land in the lower reaches of the Yellow River.[Conclusion] During the study period, the ecological security level of cultivated land along the lower reaches of the Yellow River showed an upward trend, and the spatial difference of cultivated land ecological security level in each county continued to narrow, which was greatly affected by human activities. In the future, we should promote the improvement of cultivated land ecological security level in the Yellow River basin from three aspects:expanding new agricultural management subjects, implementing geese returning project and constructing intelligent cultivated land platform.

    Reference
    [1] 陈先鹏, 方恺, 吴次芳, 等.2009-2015年中国耕地资源利用时空格局变化研究:基于粮食安全与生态安全双重视角[J].水土保持通报, 2019, 39(3):291-296, 306, 315.
    [2] 韩琭, 何佟佟, 杨勇.城市群高质量发展与土地利用效率耦合协调度评价:基于黄河流域七大城市群的实证分析[J].河南师范大学学报(哲学社会科学版), 2021, 48(1):95-101.
    [3] 本刊综合.耕地保护与粮食安全:中央一号文件中的关键词和硬举措[J].中国农业综合开发, 2021(3):12-16.
    [4] 张传华.耕地生态安全评价研究[D].重庆:西南大学, 2006.
    [5] 李智国, 杨子生.中国土地生态安全研究进展[J].中国安全科学学报, 2007, 17(12):5-12, 197.
    [6] 李昊, 李世平, 银敏华.中国土地生态安全研究进展与展望[J].干旱区资源与环境, 2016, 30(9):50-56.
    [7] 王军.石家庄市耕地动态变化与生态安全评价研究[D].河北石家庄:河北师范大学, 2009.
    [8] 余健, 房莉, 仓定帮, 等.熵权模糊物元模型在土地生态安全评价中的应用[J].农业工程学报, 2012, 28(5):260-266.
    [9] Pieri C J M G. Land quality indicators[M]. World Bank Publications, 1995.
    [10] 马年圣, 支晓娟, 宋雨婷.基于PSR和GM(1, 1)模型的西藏耕地生态安全评价与预测[J].干旱区资源与环境, 2018, 32(11):81-86.
    [11] 王文萱, 李明孝.基于DPSIR的湖南省土地生态安全时空变化[J].生态学杂志, 2020, 39(8):2724-2736.
    [12] 张凤太, 王腊春, 苏维词.基于物元分析-DPSIR概念模型的重庆土地生态安全评价[J].中国环境科学, 2016, 36(10):3126-3134.
    [13] 王大海, 张荣群, 艾东, 等.基于EES-PSR的土地生态安全物元模型评价方法实证研究[J].农业机械学报, 2017, 48(S1):228-237.
    [14] 李子君, 王硕, 马良, 等.基于熵权物元模型的沂蒙山区土地生态安全动态变化及其影响因素研究[J].土壤通报, 2021, 52(2):425-433.
    [15] 曹新向, 郭志永, 雒海潮.区域土地资源持续利用的生态安全研究[J].水土保持学报, 2004, 18(2):192-195.
    [16] 李洁, 赵锐锋, 梁丹, 等.兰州市城市土地生态安全评价与时空动态研究[J].地域研究与开发, 2018, 37(2):151-157.
    [17] Sun Tong, Feng Zhiming, Yang Yanzhao, et al. Research on land resource carrying capacity:Progress and prospects[J]. Journal of Resources and Ecology, 2018, 9(4):331-340.
    [18] 李明薇, 陈伟强, 郧雨旱, 等.基于投影寻踪模型的河南省耕地生态安全评价[J].水土保持研究, 2018, 25(4):257-263, 269.
    [19] Li Xiaobing, Tian Meirong, Wang Hong, et al. Development of an ecological security evaluation method based on the ecological footprint and application to a typical steppe region in China[J]. Ecological Indicators, 2014, 39:153-159.
    [20] 赵宏波, 马延吉.东北粮食主产区耕地生态安全的时空格局及障碍因子:以吉林省为例[J].应用生态学报, 2014, 25(2):515-524.
    [21] 匡丽花, 赵小敏, 郭熙.基于乡镇尺度的耕地生态安全时空格局演变:以鹰潭市为例[J].江苏农业学报, 2019, 35(5):1144-1153.
    [22] 徐少癸, 左逸帆, 章牧.基于模糊物元模型的中国旅游生态安全评价及障碍因子诊断研究[J].地理科学, 2021, 41(1):33-43.
    [23] Wang Yang, Feng Yining, Zuo Jian, et al. From "traditional" to "low carbon"urban land use:Evaluation and obstacle analysis[J]. Sustainable Cities and Society, 2019, 51(11):1-9.
    [24] 吕添贵, 孔安妮, 汪立.基于PSR模型的生态文明示范区生态安全评价及其障碍诊断[J].水土保持研究, 2021, 28(2):343-350.
    [25] 郭利刚, 冯珍珍, 刘庚, 等.基于物元模型的汾河流域土地生态安全评价[J].生态学杂志, 2020, 39(6):2061-2069.
    [26] 陈伊多, 杨庆媛, 杨人豪, 等.基于熵权物元模型的土地生态安全评价:重庆市江津区实证[J].干旱区地理, 2018, 41(1):185-194.
    [27] 陈文广, 孔祥斌, 温良友, 等.基于需求-功能-维度的耕地健康评价指标体系构建与应用[J].中国农业大学学报, 2021, 26(5):106-117.
    [28] 宋聚, 罗志军, 赵越, 等.基于耕地综合质量及聚类关系的耕地保护分区[J].西南农业学报, 2019, 32(10):2390-2397.
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

韩琭,宋子言.耕地生态安全动态评价及障碍因子诊断——以黄河下游沿黄县区为例[J].水土保持通报英文版,2021,41(6):148-156,164

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 28,2021
  • Revised:July 28,2021
  • Online: January 06,2022