Advanced  
YIC-IR  > 海岸带生物学与生物资源利用所重点实验室  > 期刊论文
题名:
Ecological Footprint Analysis Applied to a Coal-Consumption County in China
作者: Wang, Yan1; Wang, Li1; Shao, HongBo(邵宏波)2
刊名: CLEAN-SOIL AIR WATER
ISSN号: 1863-0650
出版日期: 2014-07-01
卷号: 42, 期号:7, 页码:1004-1013
关键词: Biocapacity ; Ecological deficit ; Ecological secure ; Energy footprint ; Sustainability
学科分类: Environmental Sciences; Marine & Freshwater Biology; Water Resources
DOI: 10.1002/clen.201300508
产权排序: [Wang, Yan; Wang, Li] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China; [Shao, Hongbo] Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, Key Lab Coastal Biol & Bioresources Utilizat, Yantai, Peoples R China
通讯作者: Wang, L (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China. wangli5208@nwsuaf.edu.cn
作者部门: 海岸带生物学与生物资源利用所重点实验室
中文摘要: Sustainable development is a critical issue in developing countries, especially for some regions whose economy depends greatly on non-renewable resources. The ecological footprint is a measured area-based indicator to analyze the sustainable use of natural resources. It has been widely used to evaluate whether the natural ecosystem's carrying capacity in a region could support its development. In this study, the method was utilized to determine the per capita ecological footprint, biocapacity and related indices for Shenmu County. Results showed that the ecological deficit was 20.075 ha/capita (cap) in 2009, indicating that Shenmu County was practicing unsustainable development, both socially and economically, and was over-exploiting its natural resources and the environment. The ecological deficit worsened between 2004, when it was "overloading" (1.978 ha/cap), and 2009, when it was "seriously overloading" (20.075 ha/cap); this was linked to increases in the ecological footprint. The main reason for the ecological deficits was the large energy consumption of industrial production. Most coal consumption was used to produce coke, and coke output thus had that greatest impact on deficits as indicated by stepwise multiple linear regression. In order to decrease ecological deficits, attention should focus on the development of alternative energy sources or technology. Improving and changing land use and energy-consumption patterns to create a resource-saving approach would result in steady increases in resource conservation leading to sustainable consumption that will improve the future ecological environment of Shenmu County.
英文摘要: Sustainable development is a critical issue in developing countries, especially for some regions whose economy depends greatly on non-renewable resources. The ecological footprint is a measured area-based indicator to analyze the sustainable use of natural resources. It has been widely used to evaluate whether the natural ecosystem's carrying capacity in a region could support its development. In this study, the method was utilized to determine the per capita ecological footprint, biocapacity and related indices for Shenmu County. Results showed that the ecological deficit was 20.075 ha/capita (cap) in 2009, indicating that Shenmu County was practicing unsustainable development, both socially and economically, and was over-exploiting its natural resources and the environment. The ecological deficit worsened between 2004, when it was "overloading" (1.978 ha/cap), and 2009, when it was "seriously overloading" (20.075 ha/cap); this was linked to increases in the ecological footprint. The main reason for the ecological deficits was the large energy consumption of industrial production. Most coal consumption was used to produce coke, and coke output thus had that greatest impact on deficits as indicated by stepwise multiple linear regression. In order to decrease ecological deficits, attention should focus on the development of alternative energy sources or technology. Improving and changing land use and energy-consumption patterns to create a resource-saving approach would result in steady increases in resource conservation leading to sustainable consumption that will improve the future ecological environment of Shenmu County.
研究领域[WOS]: Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
项目资助者: Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
关键词[WOS]: SUSTAINABLE DEVELOPMENT ; ACCOUNTS
文章类型: Article
收录类别: SCI
语种: 英语
WOS记录号: WOS:000339476200019
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/8544
Appears in Collections:海岸带生物学与生物资源利用所重点实验室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Ecological Footprint Analysis Applied to a Coal-Consumption County in China.pdf(173KB)----开放获取View Download

作者单位: 1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, Key Lab Coastal Biol & Bioresources Utilizat, Yantai, Peoples R China

Recommended Citation:
Wang, Yan,Wang, Li,Shao, Hongbo. Ecological Footprint Analysis Applied to a Coal-Consumption County in China[J]. CLEAN-SOIL AIR WATER,2014,42(7):1004-1013.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wang, Yan]'s Articles
[Wang, Li]'s Articles
[Shao, Hongbo]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wang, Yan]‘s Articles
[Wang, Li]‘s Articles
[Shao, Hongbo]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Ecological Footprint Analysis Applied to a Coal-Consumption County in China.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院烟台海岸带研究所 - Feedback
Powered by CSpace