DOI: 10.1016/j.jag.2014.08.015
Scopus记录号: 2-s2.0-84920684871
论文题名: Quantifying determinants of cash crop expansion and their relativeeffects using logistic regression modeling and variance partitioning
作者: Xiao R ; , Su S ; , Mai G ; , Zhang Z ; , Yang C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期: 1 起始页码: 258
结束页码: 263
语种: 英语
英文关键词: Cash crop expansion
; Land use change
; Logistic regression
; Spatial determinants
Scopus关键词: cash cropping
; land use change
; modeling
; partitioning
; regression analysis
; remote sensing
; spatial analysis
; variance analysis
; China
; Hangzhou
; Zhejiang
英文摘要: Cash crop expansion has been a major land use change in tropical and subtropical regions worldwide. Quantifying the determinants of cash crop expansion should provide deeper spatial insights into the dynamics and ecological consequences of cash crop expansion. This paper investigated the process of cash crop expansion in Hangzhou region (China) from 1985 to 2009 using remotely sensed data. The corresponding determinants (neighborhood, physical, and proximity) and their relative effects during three periods (1985-1994, 1994-2003, and 2003-2009) were quantified by logistic regression modeling and variance partitioning. Results showed that the total area of cash crops increased from 58,874.1 ha in 1985 to 90,375.1 ha in 2009, with a net growth of 53.5%. Cash crops were more likely to grow in loam soils. Steep areas with higher elevation would experience less likelihood of cash crop expansion. A consistently higher probability of cash crop expansion was found on places with abundant farmland and forest cover in the three periods. Besides, distance to river and lake, distance to county center, and distance to provincial road were decisive determinants for farmers' choice of cash crop plantation. Different categories of determinants and their combinations exerted different influences on cash cropexpansion. The joint effects of neighborhood and proximity determinants were the strongest, and the unique effect of physical determinants decreased with time. Our study contributed to understanding of the proximate drivers of cash crop expansion in subtropical regions. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79574
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; Institute for Urban Studies, Shanghai Normal University, Shanghai, China
Recommended Citation:
Xiao R,, Su S,, Mai G,et al. Quantifying determinants of cash crop expansion and their relativeeffects using logistic regression modeling and variance partitioning[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)