期刊
ECOLOGICAL MODELLING
卷 229, 期 -, 页码 64-75出版社
ELSEVIER
DOI: 10.1016/j.ecolmodel.2011.08.020
关键词
Land use/cover change (LUCC); Human-environment dynamics; Deforestation; Coupled human-natural systems
类别
资金
- University of California
- National Science Foundation Dynamics of Coupled Natural and Human Systems (CNH) [EF 0709627, 0709645, 0709598]
- National Institutes of Health [HD049008]
- National Science Foundation [BCS-0525592]
- UCSB
- Division Of Behavioral and Cognitive Sci
- Direct For Social, Behav & Economic Scie [0823003] Funding Source: National Science Foundation
The relative role of space and place has long been debated in geography. Yet modeling efforts applied to coupled human-natural systems seemingly favor models assuming continuous spatial relationships. We examine the relative importance of place-based hierarchical versus spatial clustering influences in tropical land use/cover change (LUCC). Guatemala was chosen as our study site given its high rural population growth and deforestation in recent decades. We test predictors of 2009 forest cover and forest cover change from 2001 to 2009 across Guatemala's 331 municipalities and 22 departments using spatial and multi-level statistical models. Our results indicate the emergence of several socio-economic predictors of LUCC regardless of model choice. Hierarchical model results suggest that significant differences exist at the municipal and departmental levels but largely maintain the magnitude and direction of single-level model coefficient estimates. They are also intervention-relevant since policies tend to be applicable to distinct political units rather than to continuous space. Spatial models complement hierarchical approaches by indicating where and to what magnitude significant negative and positive clustering associations emerge. Appreciating the comparative advantages and limitations of spatial and nested models enhances a holistic approach to geographical analysis of tropical LUCC and human-environment interactions. (C) 2011 Elsevier B.V. All rights reserved.
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