Assession of Ecological Vulnerability in Resource Enrichment Areas of Northern Shaanxi Province Based on Landscape Pattern -A Case Study of Shenmu County in Shaanxi Province

FENG Jianmin; GUO Lingxia; LI Xiaohua

doi:10.13961/j.cnki.stbctb.20150906.001

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Assession of Ecological Vulnerability in Resource Enrichment Areas of Northern Shaanxi Province Based on Landscape Pattern -A Case Study of Shenmu County in Shaanxi Province

- Assession of Ecological Vulnerability in Resource Enrichment Areas of Northern Shaanxi Province Based on Landscape Pattern -A Case Study of Shenmu County in Shaanxi Province
- Bulletin of Soiland Water Conservation Vol. 35, Issue 4, Pages: 271-276(2015)
- 作者机构：
  
  咸阳师范学院旅游与资源环境学院,陕西,咸阳,712000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20150906.001
  CLC：
- Published：2015
- 稿件说明：
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FENG Jianmin, GUO Lingxia, LI Xiaohua. Assession of Ecological Vulnerability in Resource Enrichment Areas of Northern Shaanxi Province Based on Landscape Pattern -A Case Study of Shenmu County in Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(4): 271-276.
DOI：

FENG Jianmin, GUO Lingxia, LI Xiaohua. Assession of Ecological Vulnerability in Resource Enrichment Areas of Northern Shaanxi Province Based on Landscape Pattern -A Case Study of Shenmu County in Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(4): 271-276. DOI： 10.13961/j.cnki.stbctb.20150906.001.

摘要

[目的] 定量评价陕西省神木县生态脆弱性的空间差异

为区域土地利用规划和环境保护提供依据。[方法] 选取景观分维数、破碎度、连通性和优势度、人类活动干扰强度、地形指数

从生态系统压力度、敏感性和恢复力3个方面构建评价模型

利用熵权法进行计算分析。[结果] 各生态系统中

神木县林地的生态脆弱性最高、草地和耕地次之、水域和荒地最低;22个乡镇中

店塔镇和永兴乡生态脆弱性最高

大堡当和尔林兔镇最低。[结论] 神木县生态脆弱性空间差异大

总体上由西向东、由南向北呈逐渐增大的趋势。景观分布格局

地形

矿区、居民点等人为干扰是影响生态脆弱性空间分异的主要原因。

Abstract

[Objective] Quantitative assessing the spatial difference of ecological vulnerability in Shenmu County of Northern Shaanxi Province in order to provide a support for land use planning and environmental protection. [Methods] Using landscape fractal dimension

fragmentation

dominance

connectivity

human disturbance intensity and topographic index

assessment model was developed from the aspects of ecological supporting pressure

ecosystem sensitivity

and ecological resilience

and entropy weight method was used. [Results] Among the various types of ecosystems

woodland had the highest ecological vulnerability

the grassland and farmland

while the water body and unused land had the lowest one. In the entire 22 towns

Dianta and Yongxing had the highest ecological vulnerability

while Dabaodang and Erlintu had the lowest one. [Conclusion] Ecological vulnerability showed gradually increasing trend from west to east

and from south to north. Moreover

land use pattern

topography

mining and settlement distribution were the major factors affecting the spatial pattern.

关键词

Keywords

references

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