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Evaluation and analysis of ecological security in arid areas of Central Asia based on the emergy ecological footprint (EEF) model

机译:基于能值生态足迹模型的中亚干旱地区生态安全评价与分析

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摘要

Though well-positioned geographically to benefit from China's Silk Road Economic Belt initiative, Central Asia nevertheless suffers from a fragile ecological environment. Therefore, it is crucially important for the five Central Asian countries of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan to achieve sustainable development of their respective social economies and ecological environments through the evaluation of their ecological security. This paper applies the modified emergy ecological footprint (EEF) model to optimize the traditional ecological footprint model by analyzing and evaluating the ecological security of Central Asia during the time frame of 1992-2014. The paper will also use the autoregressive integrated moving average (ARIMA) model to forecast changes which might occur during 2020-2025. The results indicate that the EEF mainly decreased from 1992 to 1998 but then gradually increased from 1999 onwards, with Kazakhstan and Turkmenistan showing the largest change rates of 3.93% and 2.77%, respectively, from 1999 to 2014. The highest EEF occurred in Turkmenistan (20.27 hm(2)/cap), followed by Kazakhstan (19.19 hm(2)/cap), with Tajikistan registering the lowest (2.96 hm(2)/cap). In Kazakhstan, Turkmenistan and Uzbekistan, fossil energy consumption footprints contributed the most to total EEFs, at 38.34%, 57.06% and 46.52%, respectively, while grassland (51.52%) and building land (50.49%) contributed the most to Kyrgyzstan's and Tajikistan's total EEFs, respectively. The emergy ecological carrying capacity (EEC) largely decreased in all five Central Asian countries, with the largest decrease occurring in Turkmenistan at annual average change rates of -1.93%. The highest EEC was in Kazakhstan (30.36 hm(2)/cap), followed by Turkmenistan (15.85 hm(2)/cap), while the lowest occurred in Uzbekistan (2.86 hm(2)/cap). Additionally, during the period under study, the ecological surpluses and deficits in Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan were 11.18, 2.21, 2.04, -4.42 and -7.57 hm(2)/cap, respectively, with the largest ecological deficit occurring in Uzbekistan. There was also a persistent rise in ecological pressure in all five countries, especially in Turkmenistan and Uzbekistan. Furthermore, the ARIMA model forecasts that Kazakhstan, Kyrgyzstan and Tajikistan will change from ecological surpluses to ecological deficits from 2020 onwards, and that the ecological pressure grades for these countries will rise to level 3 (relatively unsafe). Turkmenistan and Uzbekistan are forecast to be at level 1 (at risk). The significance of this research is optimizing the ecological footprint model and applying it in Central Asia for the first time. The work also quantitatively investigates Central Asia's ecological footprint and ecological carrying capacity on both a national and regional basis and evaluates the ecological security of each country. Overall, this research not only provides guidance for decision-makers to develop sustainable strategies in Central Asia, but also serves as a scientific reference for other arid regions to pursue ecological security and sustainable development. (C) 2019 Elsevier Ltd. All rights reserved.
机译:尽管地理位置得天独厚,可以从中国的“丝绸之路经济带”倡议中受益,但中亚仍然遭受着脆弱的生态环境的困扰。因此,对于哈萨克斯坦,吉尔吉斯斯坦,塔吉克斯坦,土库曼斯坦和乌兹别克斯坦这五个中亚国家来说,通过评估其生态安全实现其各自的社会经济和生态环境的可持续发展至关重要。本文通过对1992-2014年中亚地区的生态安全进行分析和评估,运用改进的能值生态足迹模型对传统的生态足迹模型进行优化。本文还将使用自回归综合移动平均(ARIMA)模型来预测2020-2025年期间可能发生的变化。结果表明,EEF从1992年到1998年主要下降,但从1999年开始逐渐增加,哈萨克斯坦和土库曼斯坦的变化率最大,分别从1999年到2014年为3.93%和2.77%.EEF最高的是土库曼斯坦( 20.27 hm(2)/ cap),其次是哈萨克斯坦(19.19 hm(2)/ cap),塔吉克斯坦最低(2.96 hm(2)/ cap)。在哈萨克斯坦,土库曼斯坦和乌兹别克斯坦,化石能源消耗足迹对全部EEF的贡献最大,分别为38.34%,57.06%和46.52%,而草原(51.52%)和建筑用地(50.49%)对吉尔吉斯斯坦和塔吉克斯坦的贡献最大。 EEF总数。在所有五个中亚国家中,能值生态承载力(EEC)大大下降,土库曼斯坦下降幅度最大,年平均变化率为-1.93%。 EEC最高的是哈萨克斯坦(30.36 hm(2)/ cap),其次是土库曼斯坦(15.85 hm(2)/ cap),最低的是乌兹别克斯坦(2.86 hm(2)/ cap)。此外,在本研究期内,哈萨克斯坦,吉尔吉斯斯坦,塔吉克斯坦,土库曼斯坦和乌兹别克斯坦的生态盈余和赤字分别为每上限11.18、2.21、2.04,-4.42和-7.57 hm(2)/ cap,在乌兹别克斯坦。在所有五个国家中,特别是在土库曼斯坦和乌兹别克斯坦,生态压力也持续上升。此外,ARIMA模型预测,从2020年起,哈萨克斯坦,吉尔吉斯斯坦和塔吉克斯坦将从生态盈余变为生态赤字,这些国家的生态压力等级将升至3级(相对不安全)。预计土库曼斯坦和乌兹别克斯坦处于第1级(有风险)。这项研究的意义在于优化生态足迹模型并将其首次在中亚应用。这项工作还从国家和地区两方面对中亚的生态足迹和生态承载力进行了定量研究,并评估了每个国家的生态安全。总的来说,这项研究不仅为决策者制定中亚可持续战略提供指导,而且还为其他干旱地区追求生态安全和可持续发展提供了科学依据。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第20期|664-677|共14页
  • 作者单位

    Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China|Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China|Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;

    Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China;

    Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China;

    Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ecological security evaluation; Emergy ecological footprint model; ARIMA model; Central Asia;

    机译:生态安全评估;绩效生态足迹模型;Arima模型;中亚;

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