IGSNRR OpenIR
Evaluating the Sustainability of Nature Reserves Using an Ecological Footprint Method: A Case Study in China
Liu, Xiaoman1; Jiang, Dong2,3; Wang, Qiao1; Liu, Huiming1; Li, Jin1; Fu, Zhuo1
2016-12-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume8Issue:12Pages:9
Corresponding AuthorJiang, Dong(jiangd@igsnrr.ac.cn)
AbstractNature reserves are established to protect ecosystems and rare flora and fauna. However, with the rapid development of the social economy, many nature reserves are facing enormous pressures from human activities. The assessment of the sustainability of nature reserves is a fundamental task for the planning and management of such areas. In this study, the sustainability of China's 319 national nature reserves (NRRs) was evaluated based on an ecological footprint (EF) method. The results indicated that the per capita ecological footprints of all national nature reserves increased 85.86% from 2000 to 2010. Meanwhile, the per capita biocapacity (BC) of all national nature reserves increased slightly, with a rate of increase of 1.79%. The ` traffic light' method was adopted to identify the sustainability status of those national nature reserves. It was found that currently (2010) 45% of NRRs were in the condition of ecological deficit. In terms of dynamic changes in EF and BC, only 16% of NRRs were sustainable. The 124 national nature reserves that were in the red light state were mainly distributed in Anhui Province, Chongqing City, Hunan, Guizhou, Fujian, Shandong Province, and Inner Mongolia. The percentage of nature reserves at the red light state in these areas were 83.3%, 66.7%, 64.7%, 62.5%, 58.3%, 57.1%, and 56.5%, respectively. The reserves in the red light state should be included in the priority concern level and should be strictly controlled in terms of population growth and the intensity of exploitation. The results of this study will provide more effective data for reference and for decision making support in nature reserve protection.
Keywordnational nature reserves sustainability ecological footprint method 'traffic light' method
DOI10.3390/su8121272
WOS KeywordNET PRIMARY PRODUCTION ; ACCOUNTS ; APPROPRIATION ; FRAMEWORK ; CAPACITY
Indexed BySCI
Language英语
Funding ProjectMinistry of Science and Technology of China[2016YFC1201300] ; Ministry of Environmental Protection of China
Funding OrganizationMinistry of Science and Technology of China ; Ministry of Environmental Protection of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences ; Environmental Studies
WOS IDWOS:000389317100063
PublisherMDPI AG
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65599
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJiang, Dong
Affiliation1.Minist Environm Protect, Satellite Environm Applicat Ctr, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Liu, Xiaoman,Jiang, Dong,Wang, Qiao,et al. Evaluating the Sustainability of Nature Reserves Using an Ecological Footprint Method: A Case Study in China[J]. SUSTAINABILITY,2016,8(12):9.
APA Liu, Xiaoman,Jiang, Dong,Wang, Qiao,Liu, Huiming,Li, Jin,&Fu, Zhuo.(2016).Evaluating the Sustainability of Nature Reserves Using an Ecological Footprint Method: A Case Study in China.SUSTAINABILITY,8(12),9.
MLA Liu, Xiaoman,et al."Evaluating the Sustainability of Nature Reserves Using an Ecological Footprint Method: A Case Study in China".SUSTAINABILITY 8.12(2016):9.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Xiaoman]'s Articles
[Jiang, Dong]'s Articles
[Wang, Qiao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Xiaoman]'s Articles
[Jiang, Dong]'s Articles
[Wang, Qiao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Xiaoman]'s Articles
[Jiang, Dong]'s Articles
[Wang, Qiao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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