基于能值分析的江苏省耕地生态足迹区域差异
Regional Difference of Ecological Footprints of Cropland in Jiangsu Province Based on Emergy Analysis
查看参考文献15篇
|
文摘
|
以江苏省耕地生态足迹为研究对象,在考虑不同地区的土地利用效率的基础上,把太阳辐射、降水量、土壤肥力、土地利用效率、耕地面积等作为构成承载力的实质因素,计算了江苏省不同地区的耕地生态承载力.研究结果表明:就人均耕地生态承载力而言,苏北地区普遍大于苏中和苏南地区,盐城市、淮安市和宿迁市最大,无锡市、南京市和苏州市最小.就人均耕地生态足迹而言,苏南地区普遍小于苏北和苏中地区,盐城市、南通市和淮安市最大,而无锡市、苏州市和常州市最小.江苏省13个地市的生态差额指数都小于0.5,即耕地都处于不可持续性状态,其区域差异是:南北两端好于中部,南端的苏州市、无锡市最好;而江苏中部,又是中间好于东西两侧,东侧的南通市、盐城市最差. |
|
其他语种文摘
|
Some scholars have calculated ecological footprint using the theory of emergy analysis.But there are some drawbacks in their studies.This paper singles out the ecological footprint of cropland from 6 types of land use as study topic focusing on the regional differences in Jiangsu province,revises the ecological carrying capacity with productivity factor because land use efficiencies vary across regions,and uses ecological gap index(EGI) in place of ecological deficit or remainder to evaluate the ecological sustainability.In the research of ecological carrying capacity of cropland,the solar radiation,precipitation,soil fertility,the efficiency of land use and area of cropland are considered as natures of ecological carrying capacity,and a new concept of "standard area" is established in terms of the quality class of cropland.In Jiangsu province,ecological carrying capacity of cropland in northern region is more than that in the middle and southern regions,that is,Yancheng,Huaian and Suqian have the highest ones while those Wuxi,Nanjing and Suzhou are the lowest.Ecological footprint of cropland in southern region is less than that in the middle and northern regions,that is,Yancheng,Nantong and Huaian have the greatest ones while those Wuxi,Suzhou and Changzhou are the least.Ecological gap indexes of cropland of all 13 regions in Jiangsu are all lower than 0.5,which means croplands usees are unsustainable.Cropland's EGI in the middle part is lower compared with southern and northern parts,and the midst is better than the eastern and western districts in Jiangsu's middle part.Suzhou and Wuxi have the highest EGI,and that Nantong and Yancheng have the lowest EGI.The results can be helpful for integrating the theory of emergy analysis to the conventional model of ecological footprint and for sustainable use of cropland in this province. |
|
来源
|
地理科学进展
,2008,27(4):96-102 【核心库】
|
|
关键词
|
能值分析
;
江苏省
;
耕地生态足迹
;
生态差额指数
;
区域差异
|
|
地址
|
江苏省扬州科技学院, 江苏, 扬州, 225000
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1007-6301 |
|
学科
|
自然地理学 |
|
基金
|
国家自然科学基金
;
国家科技支撑计划项目
|
|
文献收藏号
|
CSCD:3342576
|
参考文献 共
15
共1页
|
|
1.
Waekernagel M.
Our Ecological Footprint:Reducing Human Impact on the Earth,1996
|
CSCD被引
1
次
|
|
|
|
|
2.
李利锋. 生态占用——衡量可持续发展的新指标.
自然资源学报,2000,15(4):375-382
|
CSCD被引
41
次
|
|
|
|
|
3.
杨开忠. 生态足迹分析理论与方法.
地理科学进展,2000,15(6):630-636
|
CSCD被引
7
次
|
|
|
|
|
4.
胡小飞. 基于生态足迹模型的延边林区可持续发展评价.
生态学杂志,2006,25(2):129-134
|
CSCD被引
15
次
|
|
|
|
|
5.
Ferguson A R B. The logical foundations of ecological footprints.
Environment,1999,1(2):149-156
|
CSCD被引
1
次
|
|
|
|
|
6.
Van Vuuren D P. Ecological footprints of Benin Bhutan Costa Rica and the Netherlands.
Ecological Economics,2000,34(1):115-130
|
CSCD被引
72
次
|
|
|
|
|
7.
Erb K H. Actual land demand of Austria 1926-2000:a variation on ecological footprint assessments.
Land Use Policy,2004,21(3):247-259
|
CSCD被引
45
次
|
|
|
|
|
8.
Odum H T. Emergy in ecosystems.
Ecosystem Theory and Application,1986:337-369
|
CSCD被引
14
次
|
|
|
|
|
9.
Odum H T. Self-organization transformity and information.
Science,1988,242:1132-1139
|
CSCD被引
188
次
|
|
|
|
|
10.
Odum H T.
Environmental accounting.Emergy and envi-ronmental decision making,1996
|
CSCD被引
1
次
|
|
|
|
|
11.
Zhao S. Modified method of ecological footprint calculation and its application.
Ecological model-ing,2005,185(1):65-75
|
CSCD被引
90
次
|
|
|
|
|
12.
张芳怡. 基于能值分析理论的生态足迹模型及应用--以江苏省为例.
自然资源学报,2006,21(4):653-661
|
CSCD被引
74
次
|
|
|
|
|
13.
王建源. 基于能值分析的山东省生态足迹.
生态学杂志,2007,26(9):1505-1510
|
CSCD被引
33
次
|
|
|
|
|
14.
蓝盛芳.
生态经济系统能值分析,2002:3-128
|
CSCD被引
29
次
|
|
|
|
|
15.
周生路.
江苏省农用地资源分等研究,2004:11-22
|
CSCD被引
2
次
|
|
|
|
|
了解气象卫星更多信息，请访问