[1]邱炳文,高建阳,陈崇成,等.闽清县农业用地变化驱动力的尺度效应分析[J].华侨大学学报(自然科学版),2008,29(1):124-128.[doi:10.11830/ISSN.1000-5013.2008.01.0124]
　QIU Bing-wen,GAO Jian-yang,CHEN Chong-chen,et al.Scale Effect Analysis of Driving Forces of Agricultural Land Use Change in Minqin County[J].Journal of Huaqiao University(Natural Science),2008,29(1):124-128.[doi:10.11830/ISSN.1000-5013.2008.01.0124]
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闽清县农业用地变化驱动力的尺度效应分析()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第29卷
期数:
2008年第1期
页码:
124-128
栏目:
出版日期:
2008-01-20

文章信息/Info

Title:
Scale Effect Analysis of Driving Forces of Agricultural Land Use Change in Minqin County
文章编号:
1000-5013(2008)01-0124-05
作者:
邱炳文; 高建阳; 陈崇成; 随银波; 崔红生
福州大学空间数据挖掘与信息共享教育部重点实验室; 福建省地质遥感中心; 福州大学空间数据挖掘与信息共享教育部重点实验室 福建福州350002; 福建福州350002
Author(s):
QIU Bing-wen1;  GAO Jian-yang2;  CHEN Chong-chen1;  SUI Yin-bo1;  CUI Hong-sheng1
1.Key Laboratory of Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China; 2.Geological Remote Sensing Centre of Fujian Province, Fuzhou 350002, China
关键词:
农业用地;  尺度效应;  驱动因子;  福建省闽清县
Keywords:
agricultural land use;  scale effect;  driving force;  Minqing County in Fujian Province
分类号:
F301
DOI:
10.11830/ISSN.1000-5013.2008.01.0124
文献标志码:
A
摘要:
以闽中地区闽清县为例,采用统计方法与地理信息系统(GIS)技术,分析其主要的农业用地变化驱动力的尺度效应.选取18个候选驱动因子进行多尺度分析,通过分别构建不同空间尺度上的耕地改园地和林地改园地的变化驱动模型,探讨其驱动力因子的尺度效应.研究表明,不仅模型的解释能力会随研究尺度发生变化,驱动因子本身及其影响系数均随研究尺度发生不同程度的变化,呈现出显著的尺度依赖性规律.其中,模型的解释能力和主要驱动因子的制约作用,均随研究尺度增大而呈逐渐增强的趋势.
Abstract:
The main purpose of this paper was to perform a multi-scale analysis of agricultural land use changes of Minqing County in Fujian Province by means of statistical analysis based on bio-geophysical,socio-economic and infrastructural conditions.18 variables were selected as the candidate land use drivers and 2 main agricultural land use change were considered. The independent of 2 main agricultural land use changes,plantation to garden plot,woodland to garden plot,were constructed at multiple scales respectively.20 socio-economic variables on the basis of countryside areas and 15 bio-geophysical variables with mean value were used to construct another agricultural land use changes model.The multi-scale analysis results showed that 2 main agricultural land use change models varied with aggregation level and independent variables explained more of the variance for the explanation of land use type at higher aggregation levels.The analysis results on the base of countryside showed that both agricultural land use changes of plantation to garden plot and woodland to garden plot were mainly influenced by the percentage of labor to agricultural population and agricultural gross domestic product including several bio-geophysical variables.

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备注/Memo

备注/Memo:
福建省自然科学基金资助项目(D0710011); 福建省科技计划重点项目(2006Y0019,2007I0016,2005I011); 国际科技合作项目(2007DFA21600)
更新日期/Last Update: 2014-03-23