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A method to the impact assessment of the returning grazing land to grassland project on regional eco-environmental vulnerability

机译:退牧还草工程对区域生态环境脆弱性影响评价的方法

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摘要

The Chinese government has conducted the Returning Grazing Land to Grassland Project (RGLGP) across large portions of grasslands from western China since 2003. In order to explore and understand the impact in the grassland's eco-environment during the RGLGP, we utilized Projection Pursuit Model (PPM) and Geographic Information Systeni (GIS) to develop a spatial assessment model to examine the ecological vulnerability of the grassland. Our results include five indications: (1) it is practical to apply the spatial PPM on ecological vulnerability assessment for the grassland. This methodology avoids creating an artificial hypothesis, thereby providing objective results that successfully execute a multi-index assessment process and analysis under non-linear systems in eco-environments; (2) the spatial PPM is not only capable of evaluating regional eco-environmental vulnerability in a quantitative way, but also can quantitatively demonstrate the degree of effect in each evaluation index for regional eco-environmental vulnerability; (3) the eco-environment of the Xianshui River Basin falls into the medium range level. The normalized difference vegetation index (NDVI) and land use cover and change (LUCC) crucially influence the Xianshui River Basin's eco-environmental vulnerability. Generally, in the Xianshui River Basin, regional eco-environmental conditions improved during 2000 and 2010. The RGLGP positively affected NOVI and LUCC structure, thereby promoting the enhancement of the regional eco-environment; (4) the Xianshui River Basin divides its ecological vulnerability across different levels; therefore our study investigates three ecological regions and proposes specific suggestions for each in order to assist in eco-environmental protection and rehabilitation; and lastly that (5) the spatial PPM established by this study has the potential to be applied on all types of grassland eco-environmental vulnerability assessments under the RGLGP and under the similar conditions in the Returning Agriculture Land to Forest Project (RALFP). However, when establishing an eco-environmental vulnerability assessment model, it is necessary to choose suitable evaluation indexes in accordance with regional eco-environmental characteristics. (c) 2015 Elsevier Inc. All rights reserved.
机译:自2003年以来,中国政府已在中国西部的大部分草地上实施了“退耕还草”项目(RGLGP)。为探索和了解RGLGP期间对草原生态环境的影响,我们采用了“投影追踪模型”( PPM和地理信息系统(GIS),以开发一种空间评估模型来检查草原的生态脆弱性。我们的研究结果包括五个方面:(1)在草原生态脆弱性评估中​​应用空间PPM是可行的。这种方法避免了人为的假设,从而提供了客观的结果,可以成功地在生态环境的非线性系统下执行多指标评估过程和分析。 (2)空间PPM不仅可以定量评价区域生态环境脆弱性,而且可以定量地证明每个评价指标对区域生态环境脆弱性的影响程度; (3)咸水河流域生态环境处于中等水平。归一化植被指数(NDVI)和土地利用的覆盖与变化(LUCC)至关重要地影响着咸水河流域的生态环境脆弱性。总体而言,咸水流域在2000年至2010年期间区域生态环境状况有所改善。RGLGP对NOVI和LUCC结构产生了积极影响,从而促进了区域生态环境的改善。 (4)咸水河流域将生态脆弱性分为不同层次;因此,我们的研究对三个生态区域进行了调查,并对每个区域提出了具体建议,以帮助生态环境保护和恢复。最后,(5)这项研究建立的空间PPM有潜力应用于RGLGP和退耕还林工程(RALFP)的类似条件下的所有类型的草地生态环境脆弱性评估。但是,在建立生态环境脆弱性评价模型时,有必要根据区域生态环境特征选择合适的评价指标。 (c)2015 Elsevier Inc.保留所有权利。

著录项

  • 来源
    《Environmental Impact Assesment Review》 |2016年第1期|155-167|共13页
  • 作者单位

    Chengdu Univ Technol, Key Lab Geosci Spatial Informat Technol, Minist Land & Resources China, Chengdu 610059, Sichuan, Peoples R China|Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA;

    Chengdu Univ Technol, Key Lab Geosci Spatial Informat Technol, Minist Land & Resources China, Chengdu 610059, Sichuan, Peoples R China;

    Chengdu Univ Technol, Key Lab Geosci Spatial Informat Technol, Minist Land & Resources China, Chengdu 610059, Sichuan, Peoples R China;

    Chengdu Univ Technol, Key Lab Geosci Spatial Informat Technol, Minist Land & Resources China, Chengdu 610059, Sichuan, Peoples R China;

    Zhejiang Univ, Sch Earth Sci, Hangzhou 310027, Zhejiang, Peoples R China;

    Chengdu Univ Technol, Key Lab Geosci Spatial Informat Technol, Minist Land & Resources China, Chengdu 610059, Sichuan, Peoples R China;

    Chengdu Univ Technol, Key Lab Geosci Spatial Informat Technol, Minist Land & Resources China, Chengdu 610059, Sichuan, Peoples R China;

    Chengdu Univ Informat Technol, Coll Resources & Environm, Chengdu 610225, Sichuan, Peoples R China;

    Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Returning Grazing Land to Grassland Project (RGLGP); Eco-environmental vulnerability; Projection pursuit model (PPM); Geographic information system (GIS); The Xianshui River Basin;

    机译:退牧还草工程;生态环境脆弱性;投影寻踪模型;地理信息系统;咸水河流域;

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