%0 Journal Article %T The research of ecological footprint and ecological carrying capacity prediction model based on space
基于空间的生态足迹与生态承载力预测模型——以甘肃省河西走廊地区为例 %A CHANG Bin %A XIONG Li-ya %A HOU Xi-yong %A DING Yi %A
常斌 %A 熊利亚 %A 侯西勇 %A 丁艺 %J 地理研究 %D 2007 %I %X In recent years the ecological footprint(EF),originally developed by Wackernagel and Rees in the mid-1990s(Wackernagel M and Rees W,1996,1997),has gained much attention in ecological economics.This method tracks natural resources consumption of a nation or a region and translates them into biologically productive land area,which is required to produce the resources and to assimilate the wastes.EF calculation should be based on different scales(globe,nation,region,city or individual) of consumption.And then we can compare the EF and the ecological capacity(EC) of the same scale to determine the ecological status of this scale.Most of the researchers used statistical data and models to calculate EF and EC;however,the calculation is static.Moreover,the theory and methodology of EF and EC prediction have not been developed in literature so far.This paper is one of the few quantitative studies of EF and EC predictions. In the paper,the concept,theory and method of ecological footprint are introduced which can measure the goal of sustainability.On the basis of it,the study brings forward the method of EF and EC prediction.In terms of EF prediction,the method of combining consumption model with population model is adopted while for EC prediction the method of combining geographical cellular automata with GIS is used.The above models and methods are employed to calculate EF and EC in 1995 and 2000 and predict them in 2005 in Hexi Corridor.The result shows that EF is continually increasing,and EC ascended in the anterior five years and will descend in the posterior five years.This calculation and prediction model method is characterized by accuracy,speediness and high operability but the prediction method is of limitation to a certain degree. %K RS %K GIS %K ecological footprint %K ecological carrying capacity %K cellular automata %K land suitability
RS %K GIS %K 生态足迹 %K 生态承载力 %K 地理元胞自动机 %K 土地适宜性 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=869B153A4C6B5B85&jid=C0C75E88BA2EE501C8298896F64A711F&aid=706CD275271B0223&yid=A732AF04DDA03BB3&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=2BCD2FED7562E194&eid=29C36F017AD88B64&journal_id=1000-0585&journal_name=地理研究&referenced_num=6&reference_num=20