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生态学杂志 ›› 2024, Vol. 43 ›› Issue (2): 522-532.doi: 10.13292/j.1000-4890.202402.033

• 研究报告 • 上一篇    下一篇

内蒙古干旱半干旱草原煤电开发区域生态承载力评价

李红清1,张琳2*,覃昕2,3,王贵鹏1,孟祥芳2,高凯旋2,张杰2,张波4,郭佳佳2,陆兆华2
  

  1. (1国家能源集团宝日希勒能源有限公司, 内蒙古呼伦贝尔 021000; 2中国矿业大学(北京)恢复生态学研究所, 北京 100083; 3南宁市水资源管理服务中心, 南宁 530001; 4华能伊敏煤电有限责任公司, 内蒙古呼伦贝尔 021130)

  • 出版日期:2024-02-06 发布日期:2024-02-07

Assessment of regional ecological carrying capacity of the coal-electricity development area in arid and semi-arid grassland of Inner Mongolia.

LI Hongqing1, ZHANG Lin2*, QIN Xin2,3, WANG Guipeng1, MENG Xiangfang2, GAO Kaixuan2, ZHANG Jie2, ZHANG Bo4, GUO Jiajia2, LU Zhaohua2#br#

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  1. (1National Energy Group Baorixile Energy Co., Ltd., Hulunbuir 021000, Inner Mongolia, China; 2Institute of Restoration Ecology, China University of Mining and Technology-Beijing, Beijing 100083, China; 3Water Resources Management Service Center of Nanning, Nanning 530001, China; 4Huaneng Yimin Coal and Electricity Co., Ltd., Hulunbuir 021130, Inner Mongolia, China).

  • Online:2024-02-06 Published:2024-02-07

摘要: 为定量评价干旱半干旱草原煤电开发区域长时序生态承载力及其动态变化特征,本研究基于DPSIR模型,选取29个指标,构建了生态承载力评价指标体系,采用熵权法和综合求值法对内蒙古东、中、西部地区的呼伦贝尔市、锡林郭勒盟和鄂尔多斯市生态承载力动态进行评价,采用主成分分析法对不同区域生态承载力的驱动力进行分析,并对不同组分变化及不同组分间相关性进行了分析。结果表明:(1)2005—2015年,呼伦贝尔市生态承载力在波动中缓慢上升,锡林郭勒盟呈现先降后升的趋势,鄂尔多斯市趋于平稳;(2)不同地区生态承载力驱动力略有差异,总体来说,影响煤电开发区域生态承载力的主要驱动因子为人均GDP、城镇居民可支配收入、工业产值比重、人均原煤产量等;(3)呼伦贝尔市与锡林郭勒盟的“状态”、“人类福祉”组分和鄂尔多斯市的“生态系统服务”组分与区域生态承载力呈显著相关;(4)不同区域生态承载力组分相关性有较大差异,提高居民生活水平,实施生态保护和降低煤电开发强度等可有效促进生态承载力的提升。


关键词: 生态承载力, 内蒙古草原, DPSIR模型, 相关性分析

Abstract: To quantitatively evaluate the long-term ecological carrying capacity (ECC) and its variations in the arid and semi-arid grassland coal power development region of China, we selected 29 indicators based on the DPSIR model to construct an ECC evaluation index system. With this system, we adopted the entropy weight method and integrated value method to evaluate the dynamic ECC of Hulunbuir, Xilingol, and Erdos, which are located in the eastern, central, and western Inner Mongolia. We analyzed the driving forces of different regions using principal component analysis, and the changes of different components and the correlations between different components. The results showed that: (1) from 2005 to 2015, the ECC increased slowly with a fluctuation in Hulunbuir, showed a trend of decreasing and then increasing in Xilingol, and tended to be stable in Erdos. (2) The ECC drivers differed slightly among regions. In general, the main driving forces of ECC included per capita GDP, disposable income of urban residents, the proportion of industrial output value in GDP, and per capita coal production. (3) The components of “state” and “human welfare” in Hulunbuir and Xilingol and the component of “ecosystem services” in Erdos were significantly correlated with the regional ECC. (4) The correlations of the components of ECC differed greatly among different regions. Improving residents’ living standards, implementing ecological protection, and reducing the intensity of coal power development can effectively improve ECC.


Key words: ecological carrying capacity, Inner Mongolian grassland, DPSIR model, correlation analysis