A Study of Ecological Carrying Capacity Based on the Ecological Footprint Model:a Case Study of Kangping County

Abstract

Abstract: Kangping county is situated at the most important ecological boundary in China,which is an extremely ecological sensitive zone.In this paper,based on the model of ecological footprint,ecological footprint demand of Kangping county,ecological carrying capacity and ecological deficit or surplus were calculated.The comparative analysis of ecological footprint and ecological carrying capacity was made by ecological footprint method in order to overall understand the ecological environmental situation,assess the sustainable development status of Kangping County in 2008 and analyze the main reasons of ecological pressure.The results showed that the per capita ecological footprint,per capita ecological carrying capacity and per capita ecological deficit were 3.227 9 hm²,1.458 5 hm² and 1.769 4 hm²,respectively in 2008.Based on the analysis according to the computation,it has been indicated that the humanity factors surpass the ecology capacity seriously,the ecological carrying capacity cannot satisfy the ecological footprint of the demand,and the social and economic development is in an unsustainable state.The development ability of Kangping County is in the trend of rising at present. However,the ecological carrying capacity has not already been able to satisfy the need of economic development,while economic growth now is based on the depletion of natural resources.Consequently,the relevant measures must be taken to decrease the ecological footprint and to enhance the capacity of sustainable development.To reduce per capita ecological footprint and enhance per capita ecological carrying capacity,it is recommended that resources utility be increased,styles of production and life improved,productivity increased and ecosystem conserved.For promoting regional development,resources exploitation should be combined with environment conservation,ecological industries developed and regional ecological economic assessment system reconstructed.

Key words: ecological footprint, ecological carrying capacity, ecological deficit, Kangping County

CLC Number:

YIN Yan, LIANG Chenghua, ZHOU Yiqun, WANG Lingjun. A Study of Ecological Carrying Capacity Based on the Ecological Footprint Model:a Case Study of Kangping County[J]. FOREST RESOURCES WANAGEMENT, 2012, 0(2): 54-58.

References

[1] 程全国,吕晓莹,王留锁.基于生态足迹理论的生态承载力分析—以法库县生态县建设为例[J].辽宁林业科技,2006(5):22-23,47.
[2] 王玉梅,尚金城.生态足迹分析法在可持续发展定量评估中的应用—以吉林省2002年生态足迹分析为例[J].干旱区资源与环境,2006,20(1):146-150.
[3] 张明铁,孟宪宇,高润宏.区域生态恢复空间的研究—以内蒙古卓资县为例[J].林业资源管理,2006(2):62-65.
[4] Rees W E.Ecological footprint and appropriated carrying capacity:what urban economies leavesout[J].Environment and Urbanization,1992,4(2):121-130.
[5] 纪淑娜.基于生态足迹理论分析兰州市的发展现状[D].兰州大学,2009.
[6] Wackernagel M,Onisto L,Bello P,et al.National natural captial accounting with the ecological footprint concept[J].Ecological Economics,1999,29(3):375-390.
[7] 董泽琴,孙铁珩.生态足迹研究—辽宁省生态足迹计算与分析[J].生态学报,2004,24(12):2735-2739.
[8] 沈阳年鉴编委会.沈阳统计年鉴2008[M].北京:中国统计出版社,2008.
[9] 辽宁年鉴编委会.辽宁省统计年鉴2008[M].北京:中国统计出版社,2008.
[10] Wackernagel M,Onisto L,Callejas L,et al.Ecological footprints of nations:How much nature do they use? How much nature do they have [R].Toronto:International Council for Local Environmental Initiatives,1997:4-12.
[11] Wackernagel M,Onisto L,Bello P,et al.Ecological Footprints of Nations[R].Toronto:International Council for Local Environmental Initiatives,1997:10-21.
[12] 邱大雄.能源规划与系统分析[M].北京:清华大学出版社,1995:48.
[13] 世界环境与发展委员会(WCED).我们共同的未来[R].国家环境保护局外事办公室,译.北京:世界知识出版社,1989.
[14] World Wide Fund for Nature(WWF).National Footprint Accounts [EB/OL].(2011-01-18)[2012-02-22] .http://www.footprintnetwork.org/Acedemic.
[15] Cole L.Assessing sustainability on Canadian University campuses:development of a campus sustainability assessment framework[R].Victoria,Canada:Royal Roads University,2003.
[16] 姚争,冯长春,阚俊杰.基于生态足迹理论的低碳校园研究—以北京大学生态足迹为例[J].资源科学,2011,33(6):1163-1170.
[17] 张威,张恒庆.生态足迹方法:辽宁省2005—2007年生态足迹计算与分析[J].环境科学与管理,2010,35(6):150-153.