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Dynamic projection of ecological risk in the Manas River basin based on terrain gradients

机译:基于地形梯度的玛纳斯河流域生态风险动态预测

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摘要

With large-scale developments, the Manas River Basin (MRB) is in an extreme imbalance especially in land use, thus causing a series of ecological problems. A reliable dynamic ecological risk assessment is expected to provide useful information for the economic development. Through coupling spatial Cellular Automaton-Markov (CA-Markov) model and Landsat satellite images in 2000, 2008 and 2016, we forecasted the land use maps in 2024 and 2032. Based on the ecological risk model, we evaluated the ecological risk at landscape level from 2000 to 2032. More importantly, an improved evaluation of ecological risk was proposed based on terrain gradients and the correlation between terrain niche index (TNI) and future ecological risk was analyzed. The results showed that the artificial oases and urban are expanding, while the natural grassland is shrinking. Corresponding to the rapid development stage and stable consolidation stage, farmland will be followed by a slower increase (2016-2032) after a rapid increase (2000-2016), and water decreases first but then is projected to recover. As the overall spatial diversity increasing, the ecological risk in the whole basin is growing, especially in grassland. Compared with the stable critical state in artificial landscape, the future ecological risks in natural landscape tend to increase due to the cumulative effects of human activities. Also, we found that the great ecological risk mainly happens in "high altitude and complex terrain" or "low altitude and flat terrain" areas. The future ecological risk in medium terrain niche index (TNI) gradient will increase, while it will decrease in the lowest. Above all, the proposed framework can do well in forecasting ecological risk at landscape level, and can help simply infer the changes of ecological risk based on terrain. (c) 2018 Elsevier B.V. All rights reserved.
机译:随着大规模开发,玛纳斯河流域(MRB)处于极端失衡状态,尤其是在土地利用方面,因此引起了一系列生态问题。可靠的动态生态风险评估有望为经济发展提供有用的信息。通过将空间元胞自动机-马尔可夫(CA-Markov)模型与Landsat卫星图像耦合,我们预测了2024年和2032年的土地利用图。基于生态风险模型,我们评估了景观水平的生态风险从2000年到2032年。更重要的是,提出了一种基于地形梯度的生态风险评估方法,并分析了地形生态位指数(TNI)与未来生态风险之间的相关性。结果表明,人工绿洲和城市正在扩张,而天然草地正在萎缩。与快速发展阶段和稳定巩固阶段相对应,农田将在快速增加(2000-2016年)之后缓慢增加(2016-2032年),并且水量将首先减少,但随后将恢复。随着总体空间多样性的增加,整个流域的生态风险也在增加,尤其是在草地上。与人工景观的稳定临界状态相比,由于人类活动的累积影响,未来自然景观中的生态风险趋于增加。此外,我们发现巨大的生态风险主要发生在“高海拔和复杂地形”或“低海拔和平坦地形”地区。中等地形生态位指数(TNI)梯度中的未来生态风险将增加,而最低时将降低。最重要的是,提出的框架可以很好地预测景观水平的生态风险,并且可以帮助简单地推断基于地形的生态风险的变化。 (c)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第25期|283-293|共11页
  • 作者单位

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China|Hohai Univ, Wentian Coll, Maanshan 243000, Peoples R China;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

    Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China;

    Tarim River Basin Adm, Korla 841000, Peoples R China;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

    Environm Data Tech Inc, San Antonio, TX 78240 USA;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

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

    Land use change; CA-Markov model; Ecological risk assessment; The terrain niche index;

    机译:土地利用变化;CA-Markov模型;生态风险评估;地形生态位指数;

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