摘要
为揭示徐州市主城区个人生态足迹的空间变异性并分析引起其空间变异的原因,采用问卷调查和克里格插值法对个人生态足迹及其组分的空间分布进行了分析。结果表明:①徐州市主城区个人生态足迹分别是中国和全球个人生态足迹的1.48倍和1.18倍,其中商品服务足迹所占比例最大(51.1%),徐州市主城区处于弱不可持续发展状态;②经过实验半变异函数交叉验证,球状、指数和高斯模型可以较好模拟个人生态足迹及其组分的空间变异,其中,个人生态足迹、住宅足迹和商品服务足迹的块基比均小于25%,表现出强烈的空间相关性,碳足迹和食物足迹处于25%至75%之间,表现出中等空间相关性;③个人生态足迹、碳足迹、食物足迹和商品服务足迹总体上呈南高北低趋势,以市中心为峰值逐渐向周围递减,住宅足迹呈多峰值分布,最高值位于远离市中心的郊区。对个人生态足迹及其驱动因素进行空间相关分析,发现,调查对象的社会经济背景和空间特征对个人生态足迹及其组分的空间变异特征具有重要影响。
To reveal the spatial variability and the cause of the variability of personal ecological footprint in Xuzhou main city,we analyzed the spatial distribution of Xuzhou main city with questionnaire and geostatistic methods.Results show that： 1） Xuzhou＇s average personal ecological footprint was 25.862 ghm^2/cap,which was more than 1.48 and 1.18 times of the average personal ecological footprint of China and world respectively,and the goods/services footprint was the max proportion（51.1%）.Xuzhou will be in a condition of weak sustainable development.2） The spatial variability of personal ecological footprint and proportions can be simulated preferably by the models of spherical,exponential and Gaussian after cross-validation of experimental semivariogram function.The Nug/sill ratio of personal ecological footprint,housing footprint and goods/services footprint are all less than 25%,showing a strong spatial correlation,but food footprint and carbon footprint are between 25% to 75%,with a middle spatial correlation.3） Personal ecological footprint,carbon footprint,food footprint and goods/services footprint in the south are generally higher than that in the west,and the maximum value is in the centre of the city.Housing footprint shows a distribution of multi-peaks,but the crest value is in the suburb which is far from the centre of the city.Based on the spatial analysis of personal ecological footprint and driving factors,we found that the investigator＇s socio-economic and spatial characters influenced the spatial variability of personal ecological footprint intensively.Food footprint was mainly affected by the factors of personal socio-economic background,and its spatial variability showed a strong randomness.
出处
《自然资源学报》
CSSCI
CSCD
北大核心
2010年第4期594-603,共10页
Journal of Natural Resources
基金
国家十一五科技支撑计划课题项目(2006BAJ05A08)
江苏省资源环境信息工程重点实验室(中国矿业大学)开放基金项目(20080301)
中国矿业大学青年科研基金(2006A030)
关键词
生态足迹
消费行为
地统计学
克里格差值
空间变异
ecological footprint
consumption behavior
geostatistics
Kriging
spatial variability
