太阳成8722(中国)有限公司-GREEN NO.1

旧版入口
|
English
学院新闻
博士生黄浦江的论文在POLISH JOURNAL OF ENVIRONMENTAL STUDIES 刊出
发布时间:2014-10-08     发布者:yz         审核者:     浏览次数:

标题:An Integrated Method to Analyze Forest Ecological Networks for Urban Sustainable Development: A Case Study of Wuhan in Central China作者:Huang, Pujiang; Liu, Yanfang

来源出版物:POLISH JOURNAL OF ENVIRONMENTAL STUDIES 卷:23 期:4 页:1175-1183 出版年:2014

摘要:This research takes Wuhan as a case study with a focus on forest ecological network analysis based on an integrated approach. This approach applies the improved least-cost path model and scenario analysis to identify and compare networks with the cost surface setting, including ecological service value and biodiversity index. We proposed cost-based 5 index and patch connection index (PCI) to evaluate the whole network structure and ecological source connection, as these two indexes comprehensively consider spatial structure and species migration cost. This study proves that the improved line kernel density method based on species migration cost is an effective tool to identify conservation priority areas and break points. Based on the proposed method, we identify and evaluate four types of urban forest ecological networks from different cost setting. The forest ecological network is uneven in spatial distribution. Overall ecological network structure has poor connection. We illustrate conservation priority areas and divide these priority areas into three categories of ecological security.

入藏号:WOS:000341337900013

文献类型:Article

语种:English

作者关键词:forest ecological network, improved LCP model, PCI, improved line kernel density model, urban sustainable development

扩展关键词:LANDSCAPE CONNECTIVITY; CONSERVATION; MODEL

通讯作者地址:Liu, Yanfang; Wuhan Univ, Sch Resource & Environm Sci, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

电子邮件地址:yfliv610@163.com

地址:

[Huang, Pujiang; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

研究方向:Environmental Sciences & Ecology

ISSN:1230-1485

Baidu
sogou