Evaluating impact of spatial scales on land use pattern analysis in Central America

Citation
K. Kok et A. Veldkamp, Evaluating impact of spatial scales on land use pattern analysis in Central America, AGR ECO ENV, 85(1-3), 2001, pp. 205-221
Citations number
39
Categorie Soggetti
Environment/Ecology
Journal title
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
ISSN journal
01678809 → ACNP
Volume
85
Issue
1-3
Year of publication
2001
Pages
205 - 221
Database
ISI
SICI code
0167-8809(200106)85:1-3<205:EIOSSO>2.0.ZU;2-S
Abstract
The complexity of the relations between land use patterns and their spatial determinants causes the scale of analysis to influence the results. Often, focus is on one aspect of this scale effect, the spatial resolution. This study emphasises the influence of a varying spatial extent on the analysis of land use patterns in six countries in Central America. Statistical techn iques are used to determine the relationship between six land uses and a nu mber of potential determining factors, varying both resolution and extent. Results indicate that the effect of spatial resolution, by aggregating a ba sic grid to larger units, is small in comparison with other similar studies . The effect of a varying extent, by keeping either national boundaries or analysing the entire region at once, on the other hand, is substantial. An unrealistic redistribution of all major land use types, including a large-s cale reforestation, is predicted using statistical analysis with the entire region as extent. When expanding the extent to a unit larger than a countr y, implicit assumptions concerning market mechanisms and national policies are adopted that do not correspond to the actual situation. Despite the exi stence of the Central American Common Market, it cannot be assumed that any agricultural land use will expand to satisfy an increasing demand in anoth er country. Findings strongly suggest that any modelling effort at regional or global level should incorporate a thorough analysis of the effects of s patial scale on land use change predictions. (C) 2001 Elsevier Science B.V. All rights reserved.