Please wait a minute...
 
Remote Sensing for Natural Resources    2023, Vol. 35 Issue (4) : 139-148     DOI: 10.6046/zrzyyg.2022328
|
Ecological security evaluation of counties/banners in the Yellow River basin in Ordos
LIU Xiaomin1,2,3(), AMUGULENG 2(), YANG Yaotian2,3, LIU Yong4
1. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
2. Inner Mongolia Yellow River Institute of Ecological Research,Hohhot 010020, China
3. Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot 010018, China
4. Ordos Water Conservancy Development Center, Ordos 017000, China
Download: PDF(4821 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

The Yellow River basin has a weak eco-environment due to severe water-soil erosion. Research on ecological security state and primary driving factors holds great significance for the high-quality development of the basin. Based on the social statistical data and remote sensing data of counties/banners in Ordos in the basin from 2010 to 2020, this study established an ecological security index framework for these areas using the pressure-state-response (PSR) model by integrating 19 indices. Furthermore, this study calculated key driving factors using the gray relational model and forecast the ecological security evolution trend in the coming five years. The results are as follows: ① From 2010 to 2020, the comprehensive ecological security index of Dalad, Jungar, and Otog banners all showed a rising trend, while that of Hanggin Banner showed a downward trend following a rise. The ecological security level fluctuated around the critical state during this period. This result suggests an improvement in the ecological security of the basin; ② The dynamic change of ecological security in the study area was closely related to the changes in regional population, urbanization rate, grassland area, water resources area, Engel coefficient and proportion of tertiary industries; (iii) As indicated by the results of the ecological security forecast model of various counties/banners, the ecological security index of this area will show an upward trend in the coming five years. Finally, based on the above results, this study put forward relevant policies and suggestions, with a view to providing a quantitative reference and decision-making basis for ecological management and risk prevention and control of the Yellow River basin in Ordos.
Keywords ecological security assessment      PSR model      driving factors      gray prediction system     
ZTFLH:  TP79  
Issue Date: 21 December 2023
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Xiaomin LIU
AMUGULENG
Yaotian YANG
Yong LIU
Cite this article:   
Xiaomin LIU,AMUGULENG,Yaotian YANG, et al. Ecological security evaluation of counties/banners in the Yellow River basin in Ordos[J]. Remote Sensing for Natural Resources, 2023, 35(4): 139-148.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022328     OR     https://www.gtzyyg.com/EN/Y2023/V35/I4/139
Fig.1  Map of the study area
目标层 准则层 指标层 指标
趋向		 意义
生态
安全
综合
指数		 压力 人口密度 负 表征人口对生态安全的压力
城市面积 负 表征城市化扩建对生态安全的压力
人均耕地面积 负 表征农业对生态安全的压力
化肥施用强度 负 表征农业对生态安全的压力
载畜量 负 表征畜牧业对生态安全的压力
沙地面积 负 表征植被退化对生态安全的压力
状态 草地覆盖率 正 表征草地资源覆盖状态
森林覆盖率 正 表征森林资源覆盖状态
农林牧渔业产值 正 表征基础产业发展状态
人均粮食量 正 表征土地资源产量状态
第三产业比重 正 表征产业结构状态
水资源涵养量 正 表征水资源状态
响应 农牧民人均纯收入 正 表征国民经济发展的响应
单位面积农业机械总动力 正 表征农业现代化的响应
固定资产投资 正 表征固定资产投入程度的响应
人均GDP 正 表征区域经济发展的响应
水利环境资金 正 表征对水利环境保护投入程度的响应
人工造林面积 正 表征对森林资源保护的响应
种草面积 正 表征对草地资源保护的响应
Tab.1  Selection of ecological security indicators
生态安全程度 生态安全指数 警度
等级		 特征
不安全 [0,0.2) 重警 生态系统结构及功能被破坏,生态恢复能力及抗干扰能力较差,生态环境问题呈现恶化趋势
较不安全 [0.2,0.4) 高警 生态系统结构及功能不完整,生态问题较多,生态恢复能力及抗干扰能力降低
临界安全 [0.4,0.6) 中警 生态系统结构及功能基本完整,生态系统受外界干扰破坏较小,生态恢复能力及抗干扰能力一般
较安全 [0.6,0.8) 轻警 生态系统结构及功能较完整,生态问题较少,生态恢复能力降低,抗干扰能力较好
安全 [0.8,1] 无警 生态系统结构及功能较完整,生态环境未受干扰破坏,有很强的自我修复和调节能力
Tab.2  Classification of ecological security warning levels
精度等级 指标临界值
相对误差 均方差比值 小误差概率
一级 0.01 0.35 0.95
二级 0.05 0.50 0.80
三级 0.10 0.65 0.70
四级 0.20 0.80 0.60
Tab.3  Inspection grade of grey prediction accuracy
Fig.2  Index framework and weight of ecological security evaluation in counties of the Yellow River basin
Fig.3  Changes of ecological security in counties of the Yellow River basin in Ordos City
Fig.4  Trends of ecological security in four counties from 2010 to 2020
Fig.5  Analysis of driving factors of ecological security in four counties
Fig.6  Coupling relationship of driving factors of ecological security in Ordos City
Fig.7  Simulation and prediction of ecological security
检验指标 相对误差 均方差比 小误差概率
达拉特旗 0.05 0.34 0.90
准格尔旗 0.09 0.38 0.80
鄂托克旗 0.05 0.41 0.90
杭锦旗 0.08 0.50 0.80
Tab.4  Grey prediction accuracy
[1] 金凤君. 黄河流域生态保护与高质量发展的协调推进策略[J]. 改革, 2019(11):33-39.
[1] Jin F J. Coordinated promotion strategy of ecological protection and high-quality development in the Yellow River basin[J]. Reform, 2019(11):33-39.
[2] 张力隽, 白云龙, 田林, 等. 沿黄城市群生态保护与高质量发展协同度研究[J]. 人民黄河, 2022, 44(4):15-19.
[2] Zhang L J, Bai Y L, Tian L, et al. Research on the coordination degree of ecological protection and high-quality development of urban agglomerations along the Yellow River[J]. Yellow River, 2022, 44(4):15-19.
[3] 黄烈佳, 杨鹏. 长江经济带土地生态安全时空演化特征及影响因素[J]. 长江流域资源与环境, 2019, 28(8):1780-1790.
[3] Huang L J, Yang P. Spatio-temporal evolution characteristics and influencing factors of land ecological security in the Yangtze River economic belt[J]. Resources and Environment in the Yangtze Basin, 2019, 28(8):1780-1790.
[4] 张军以, 苏维词, 张凤太. 基于PSR模型的三峡库区生态经济区土地生态安全评价[J]. 中国环境科学, 2011, 31(6):1039-1044.
[4] Zhang J Y, Su W C, Zhang F T. Regional land ecological security evaluation in the case of Chongqing Three Gorges Reservoir ecological economy area based on the PSR model[J]. China Environmental Science, 2011, 31(6):1039-1044.
[5] 李莉鸿, 李中才. 基于PSR方法的山东省耕地生态安全评价[J]. 国土与自然资源研究, 2020(3):23-24.
[5] Li L H, Li Z C. Ecological security assessment of cultivated land in Shandong Province base on PSR model[J]. Territory and Natural Resources Study, 2020(3):23-24.
[6] 秦趣, 黄艳, 崔小平. 基于PSR模型的云贵高原湿地生态系统健康评价[J]. 水生态学杂志, 2019, 40(5):26-31.
[6] Qin Q, Huang Y, Cui X P. Ecosystem health assessment of the Yunnan-Guizhou plateau wetland based on the pressure-state-response model[J]. Journal of Hydroecology, 2019, 40(5):26-31.
[7] 解雪峰, 吴涛, 肖翠, 等. 基于PSR模型的东阳江流域生态安全评价[J]. 资源科学, 2014, 36(8):1702-1711.
[7] Xie X F, Wu T, Xiao C, et al. Ecological security assessment of the Dongyang River watershed using PSR modeling[J]. Resources Science, 2014, 36(8):1702-1711.
[8] 马新萍, 龙双双, 李玉婷, 等. 基于DPSR模型的陕西关中城市群生态安全预警评价研究[J]. 国土资源科技管理, 2020, 37(1):82-94.
[8] Ma X P, Long S S, Li Y T, et al. On early warning and evaluation of ecological security in Guanzhong urban agglomeration based on DPSR model[J]. Scientific and Technological Management of Land and Resources, 2020, 37(1):82-94.
[9] 郭文月. 基于PSR模型的西北五省森林生态安全评价[J]. 中国林业经济, 2019(6):107-110.
[9] Guo W Y. Forest ecological security evaluation of five northwest provinces based on PSR model[J]. China Forestry Economics, 2019(6):107-110.
[10] Ke X L, Wang X Y, Guo H X, et al. Urban ecological security evaluation and spatial correlation research:Based on data analysis of 16 cities in Hubei Province of China[J]. Journal of Cleaner Production, 2021, 311: 127613.
doi: 10.1016/j.jclepro.2021.127613 url: https://linkinghub.elsevier.com/retrieve/pii/S095965262101831X
[11] 刘则方, 张安明, 郭栋梁. 三峡库区土地整理生态安全评价——以黔江区水田乡为例[J]. 新疆大学学报(自然科学版), 2016, 33(1):115-121.
[11] Liu Z F, Zhang A M, Guo D L. The study on ecological security environment of regional land consolidation of the Three Gorges:A case study in Shuitian Town in Qianjiang City[J]. Journal of Xinjiang University(Natural Science Edition in Chinese and English), 2016, 33(1):115-121.
[12] 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.
[12] Zhang R, Liu Y Z. Evaluation on cultivated land ecological security based on the PSR model and diagnosis of its obstacle indicators in China[J]. Resources and Environment in the Yangtze Basin, 2013, 22(7):945-951.
[13] 李玉照, 刘永, 颜小品. 基于DPSIR模型的流域生态安全评价指标体系研究[J]. 北京大学学报(自然科学版), 2012, 48(6):971-981.
[13] Li Y Z, Liu Y, Yan X P. A DPSIR-based indicator system for ecological security assessment at the basin scale[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2012, 48(6):971-981.
[14] 王非, 张猛. 基于DPSR模型的城市新区生态安全评价研究——以西咸新区沣西新城为例[J]. 建筑与文化, 2018(8):143-145.
[14] Wang F, Zhang M. Research on ecological security assessment of urban new district based on DPSR model: A case study of Fengxi new town in Xixian new area[J]. Architecture and Culture, 2018(8):143-145.
[15] 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.
[15] Wang D H, Zhang R Q, Ai D, et al. Empirical study on evaluation method of land ecological security Matter-element model based on EES-PSR[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(s1):228-237.
[16] 吕广斌, 廖铁军, 姚秋昇, 等. 基于DPSIR-EES-TOPSIS模型的重庆市土地生态安全评价及其时空分异[J]. 水土保持研究, 2019, 26(6):249-258,266.
[16] Lyu G B, Liao T J, Yao Q S, et al. Spatiotemporal variation and land ecological security and its evaluation in Chongqing City based on DPSIR-EES-TOPSIS model[J]. Research of Soil and Water Conservation, 2019, 26(6):249-258,266.
[17] 马婷, 邵战林. 基于PSR模型及熵权法的土地生态安全评价研究——以兰州市为例[J]. 湖北农业科学, 2021, 60(20):67-71,86.
[17] Ma T, Shao Z L. Land ecological security assessment based on PSR model and entropy weight method: A case study of Lanzhou City[J]. Hubei Agricultural Sciences, 2021, 60(20):67-71,86.
[18] 宁雅楠. 青龙满族自治县土地利用景观生态安全时空变化与影响因素分析[D]. 保定: 河北农业大学, 2015.
[18] Ning Y N. The analysis of landscape ecological security temporal spatial variation and influencing factors of Qinglong Manchu Autono-mous County[D]. Baoding: Hebei Agricultural University, 2015.
[19] 孙晓月. 黄河三角洲土地生态安全评价与可持续利用研究[D]. 济南: 山东师范大学, 2018.
[19] Sun X Y. Study on land ecological security evaluation and sustainable utilization in the Yellow River Delta[D]. Jinan: Shandong Normal University, 2018.
[20] 呙亚玲, 李巧云. 基于改进PSR模型的洞庭湖区生态安全评价及主要影响因素分析[J]. 农业现代化研究, 2021, 42(1):132-141.
[20] Guo Y L, Li Q Y. Ecological security evaluation and main effects analysis around Dongting Lake based on the improved pressure-state-response model[J]. Research of Agricultural Modernization, 2021, 42(1):132-141.
[21] 金凤君, 马丽, 许堞. 黄河流域产业发展对生态环境的胁迫诊断与优化路径识别[J]. 资源科学, 2020, 42(1):127-136.
doi: 10.18402/resci.2020.01.13
[21] Jin F J, Ma L, Xu D. Environmental stress and optimized path of industrial development in the Yellow River basin[J]. Resources Science, 2020, 42(1):127-136.
doi: 10.18402/resci.2020.01.13
[22] 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.
[22] Meng J J, Zhu L K, Yang Q, et al. Building ecological security pattern based on land use: A case study of Ordos,northern China[J]. Acta Ecologica Sinica, 2012, 32(21):6755-6766.
doi: 10.5846/stxb url: http://www.ecologica.cn/
[23] 赵燕, 荆慧敏, 刘基智. 鄂尔多斯市黄河流域生态保护和高质量发展初步研究[J]. 北方经济, 2022(1):60-64.
[23] Zhao Y, Jing H M, Liu J Z. Preliminary study on ecological protection and high-quality development of the Yellow River basin in Ordos City[J]. Northern Economy, 2022(1):60-64.
[24] 杨键军. 鄂尔多斯统计年鉴[M]. 北京: 中国统计出版社, 2020: 334-336.
[24] Yang J J. Ordos statistical yearbook[M]. Beijing: China Statistics Press, 2020: 334-336.
[25] Zhang Y, Zhang L Y, Guo W, et al. Analysis of ecological security evaluation and zoning threshold determination of typical energy industrial area based on PSR model[J]. Environmental Research Communications, 2022, 4(10):105004.
doi: 10.1088/2515-7620/ac9514
[26] Jiang C H, Li G Y. Study about ecological security assessment of Beijing valley region based on PSR model: A case study of Puwa Valley region in Fangshan District[J]. IOP Conference Series: Earth and Environmental Science, 2019, 281(1): 012011.
doi: 10.1088/1755-1315/281/1/012011
[27] 张锐, 郑华伟, 刘友兆. 基于PSR模型的耕地生态安全物元分析评价[J]. 生态学报, 2013, 33(16):5090-5100.
[27] Zhang R, Zheng H W, Liu Y Z. Evaluation on cultivated land ecological security based on the PSR model and matter element analysis[J]. Acta Ecologica Sinica, 2013, 33(16):5090-5100.
doi: 10.5846/stxb url: http://www.ecologica.cn/
[28] 赵敏敏, 何志斌, 蔺鹏飞, 等. 基于压力-状态-响应模型的黑河中游张掖市生态安全评价[J]. 生态学报, 2021, 41(22):9039-9049.
[28] Zhao M M, He Z B, Lin P F, et al. Ecological security evaluation of Zhangye City in the middle reaches of the Heihe River based in pressure-state-response model[J]. Acta Ecologica Sinica, 2021, 41(22):9039-9049.
[29] Qiu M, Zuo Q T, Wu Q S, et al. Water ecological security assessment and spatial autocorrelation analysis of prefectural regions involved in the Yellow River basin[J]. Scientific Reports, 2022, 12: 5105
doi: 10.1038/s41598-022-07656-9 pmid: 35332130
[30] 张晓瑶, 虞虎, 张潇, 等. 基于多源数据的三江源国家公园土地生态安全综合评价[J]. 生态学报, 2022, 42(14):5665-5676.
[30] Zhang X Y, Yu H, Zhang X, et al. Comprehensive evaluation of land ecological security in the Sanjiangyuan National Park based on multi-source data[J]. Acta Ecologica Sinica, 2022, 42(14):5665-5676.
[31] 曹秉帅, 邹长新, 高吉喜, 等. 生态安全评价方法及其应用[J]. 生态与农村环境学报, 2019, 35(8):953-963.
[31] Cao B S, Zou C X, Gao J X, et al. Review on methodology and application of ecological security assessment[J]. Journal of Ecology and Rural Environment, 2019, 35(8):953-963.
[32] 穆学青, 郭向阳, 明庆忠, 等. 黄河流域旅游生态安全的动态演变特征及驱动因素[J]. 地理学报, 2022, 77(3):714-735.
doi: 10.11821/dlxb202203015
[32] Mu X Q, Guo X Y, Ming Q Z, et al. Dynamic evolution characteristics and driving factors of tourism ecological security in the Yellow River basin[J]. Acta Geographica Sinica, 2022, 77(3):714-735.
doi: 10.11821/dlxb202203015
[33] 霍文敏, 陈甲斌. 煤炭资源富集区生态安全预警技术方法与应用研究[J]. 矿业研究与开发, 2022, 42(2):70-75.
[33] Huo W M, Chen J B. Research on ecological security warning technology and its applications in rich coal resource areas[J]. Mining Research and Development, 2022, 42(2):70-75.
[34] 杨予静, 李昌晓, 丽娜·热玛赞. 基于PSR框架模型的三峡库区忠县汝溪河流域生态系统健康评价[J]. 长江流域资源与环境, 2013, 22(s1):66-74.
[34] Yang Y J, Li C X, Remazan L N. Assessment of ecosystem health in the Ruxi River basin of Zhongxian County in the Three Gorges reservoir area based on pressure-state-response(PSR)model[J]. Resources and Environment in the Yangtze Basin, 2013, 22(s1):66-74.
[35] 张楠楠, 石水莲, 李博, 等. 基于“压力-状态-响应”模型的土地生态安全评价及预测——以沈阳市为例[J]. 土壤通报, 2022, 53(1):28-35.
[35] Zhang N N, Shi S L, Li B, et al. Evaluation and prediction of land ecological security based on PSR model: Take Shenyang as an example[J]. Chinese Journal of Soil Science, 2022, 53(1):28-35.
[36] 姚彤, 赵君. 内蒙古鄂尔多斯市城镇化进程中土地生态安全动态评价研究[J]. 中国农业资源与区划, 2020, 41(6):138-143.
[36] Yao T, Zhao J. Dynamic evaluation of land ecological security in the process of urbanization in Ordos City,Inner Mongolia[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(6):138-143.
[37] 赵天明, 刘学录, 于航. 鄂尔多斯市土地生态安全评价及协调度研究[J]. 国土与自然资源研究, 2019(5):39-44.
[37] Zhao T M, Liu X L, Yu H. Study on evaluation and coordination degree of land ecological safety in Ordos[J]. Territory and Natural Resources Study, 2019(5):39-44.
[1] CUI Dunyue, WANG Shidong, ZHANG Xuejun. A remote sensing-based study on change in land use and vegetation cover in Xiong’an New Area from 1991 to 2021[J]. Remote Sensing for Natural Resources, 2023, 35(4): 214-225.
[2] SONG Qi, FENG Chunhui, MA Ziqiang, WANG Nan, JI Wenjun, PENG Jie. Simulation of land use change in oasis of arid areas based on Landsat images from 1990 to 2019[J]. Remote Sensing for Natural Resources, 2022, 34(1): 198-209.
[3] SONG Qi, FENG Chunhui, GAO Qi, WANG Mingyue, WU Jialin, PENG Jie. Change of cultivated land and its driving factors in Alar reclamation area in the past thirty years[J]. Remote Sensing for Land & Resources, 2021, 33(2): 202-212.
[4] Zhaohua LIU, Chunyan ZHANG. Dynamic monitoring and driving factors analysis of urban expansion in Kaifeng[J]. Remote Sensing for Land & Resources, 2018, 30(4): 193-199.
[5] FANG Guohua, ZHOU Lei, WEN Xin, XUE Liuyu, YAN Chunhua. Land use change and ecological security evaluation of Jiangsu Province in the eastern route of the South-to-North Water Transfer Project[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 163-170.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech