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科学研究

秦岭国家植物园生态环境质量评价

  • 江仕嵘 ,
  • 童亚文 ,
  • 刘耀华 ,
  • 张青峰 ,
  • 洪波
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  • 1.西北农林科技大学 资源环境学院,陕西 杨凌 712100
    2.秦岭国家植物园,西安 710061
    3.西北农林科技大学 风景园林艺术学院,陕西 杨凌 712100
江仕嵘(1994-),男,云南临沧人,在读硕士,研究方向为土地资源与空间信息技术。Email: jiangsr94@163.com

收稿日期: 2020-03-02

  修回日期: 2020-03-24

  网络出版日期: 2020-07-30

基金资助

亚洲开发银行贷款和全球环境基金赠款项目“秦岭国家植物园生态监测”(D3.2)

Eco-environment Quality Evaluation of Qinling National Arboretum

  • Shirong JIANG ,
  • Yawen TONG ,
  • Yaohua LIU ,
  • Qingfeng ZHANG ,
  • Bo HONG
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  • 1. College of Natural Resources and Environment,Northwest A&F University,Yangling,Shaanxi 712100
    2. Qinling National Arboretum,Xi'an,Shaanxi 710061
    3. College of Landscape Architecture and Arts,Northwest A&F University,Yangling,Shaanxi 712100

Received date: 2020-03-02

  Revised date: 2020-03-24

  Online published: 2020-07-30

摘要

为评价秦岭国家植物园的生态环境质量及其分布特征,基于生态环境状况指数法(EI)和遥感生态指数法(RSEI)对秦岭国家植物园生态环境质量进行了分析。结果表明,秦岭国家植物园EI为72.80,生态环境状况良好,生态功能相对稳定;北部S107省道、光头山、田峪河生态环境质量差,首阳山、晏家山生态环境质量好。EI方法分析的结果可用于生态环境质量的整体评价,而RSEI方法可对分布状况进行评价,这2种方法的结合可为定量评价生态环境质量状况提供良好的方法参考。

本文引用格式

江仕嵘 , 童亚文 , 刘耀华 , 张青峰 , 洪波 . 秦岭国家植物园生态环境质量评价[J]. 林草资源研究, 2020 , 0(3) : 85 -88 . DOI: 10.13466/j.cnki.lyzygl.2020.03.016

Abstract

In order to evaluate the status of eco-environment quality and the distribution characteristics of Qinling National Arboretum,methods of Ecological Index(EI) and Remote Sensing based Ecological Index(RSEI) were adopted.The results showed that the EI of Qinling National Arboretum is 72.80,which means that the overall ecological environment status is good and the ecological function is relatively stable.In the northern part of arboretum,the nearby of S107 road,the hillsite of Guangtou Mountain and the gulch of Tianyu River,the eco-environment quality is relatively poor;while which of the Shouyang Mountain and the Yanjia Mountain was good.The output of the EI method can be used for an overall evaluation about the eco-environment quality,while the RSEI method can be used to evaluate the spatial distribution of eco-environmental quality.The combination of these two methods provide a good reference for the quantitative evaluation of the eco-environment quality.

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