基于DPSIR-TOPSIS和障碍度模型的青海省生态安全评价及障碍因子诊断
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青海大学 土木水利学院,青海 西宁

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国家社会科学基金项目(22XTJ005)


Ecological security evaluation and obstacle factor diagnosis in Qinghai Province based on DPSIR-TOPSIS and obstacle degree models
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School of Civil Engineering and Water Conservancy,Qinghai University,Xining,Qinghai,China

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National Social Science Foundation of China (22XTJ005).

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    摘要:

    探究青海省的生态安全变化,对其生态安全进行定量评价,诊断影响生态安全的障碍因子,能够为青海省乃至青藏高原地区的生态保护和高质量发展提供理论依据。本研究以青海省为研究范围,基于DPSIR模型构建生态安全评价指标体系,采用熵权-TOPSIS法评价分析2010—2020年生态安全时空演化特征,并运用障碍度模型诊断影响生态安全的主要因素。研究结果表明在研究时段内青海省生态安全指数由2000年的0.31增加至2020年的0.71,生态安全等级由较不安全水平提高到较安全水平,生态安全整体状况处于稳步向好发展趋势。市州层面,海南州的生态安全指数增幅最大,玉树州增幅最小,在空间上大致呈现出从“东部领先”到“东南超越”的演进格局。通过障碍因子诊断发现青海省生态安全的主要因素由起初的智力资本不足与污染排放,转变为人口增长与畜牧业发展。提出应加强推行禁牧、轮牧与休牧制度,吸引高层次人才,土地优化利用、加强环保宣传教育力度,提高全民环境保护意识等提升青海省生态安全的对策建议。

    Abstract:

    Investigating the ecological security changes in Qinghai Province, quantitatively evaluating its ecological security, and diagnosing obstacles affecting ecological security can provide a theoretical basis for ecological protection and high-quality development in Qinghai Province and even the Qinghai-Tibet Plateau region. This study focuses on Qinghai Province, constructing an ecological security evaluation index system based on the DPSIR model. It utilizes the entropy weight TOPSIS method to analyze the spatiotemporal evolution characteristics of ecological security from 2010 to 2020 and applies the obstacle degree model to diagnose the main factors affecting ecological security. The research findings indicate that during the study period, the ecological security index of Qinghai Province increased from 0.31 in 2000 to 0.71 in 2020, with the ecological security level transitioning from relatively unsafe to relatively safe. Overall, the ecological security situation is steadily improving. At the prefecture level, Hainan Prefecture experienced the largest increase in ecological security index, while Yushu Prefecture had the smallest increase, reflecting a spatial evolutionary pattern from “leading in the east” to “surpassing in the southeast”. Through obstacle factor diagnosis, it was found that the main factors affecting ecological security in Qinghai Province shifted from insufficient intellectual capital and pollution emissions to the development of animal husbandry and population growth. Recommendations to enhance ecological security in Qinghai Province include strengthening the implementation of grazing prohibition, rotational grazing, and rest grazing systems, attracting high-level talents, optimizing land use, intensifying environmental protection publicity and education, and enhancing public awareness of environmental protection.

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贾海发,杜鹏阳. 基于DPSIR-TOPSIS和障碍度模型的青海省生态安全评价及障碍因子诊断[J]. 农业现代化研究, 2024, 45(2): 296-305
JIA Hai-fa, DU Peng-yang. Ecological security evaluation and obstacle factor diagnosis in Qinghai Province based on DPSIR-TOPSIS and obstacle degree models[J]. Research of Agricultural Modernization, 2024, 45(2): 296-305

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  • 收稿日期:2023-12-07
  • 最后修改日期:2024-02-20
  • 录用日期:2024-03-06
  • 在线发布日期: 2024-04-19
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