Factors influencing vegetation cover change in Mediterranean Central Chile (1975-2008)
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/22897DOI: 10.1111/j.1654-109X.2011.01135.x
ISSN: 1402-2001
Publisher
Wiley
Date
2011Funders
This work was financed by the REFORLAN Project, INCO Contract CT2006-032132 (European Commission), with additional input from projects CGL2010-18312 (Spanish Ministry of Science and Innovation) and S2009AMB-1783 (Madrid Government REMEDINAL-2). We are in-
debted to Javier Salas and Cristian Echeverría for their input in this project. The manuscript benefited from
useful comments from Jorge Aubad and two anonymous
reviewers, who improved the contents and presentation
of this study
Bibliographic citation
Applied Vegetation Science, 2011, v. 14, n. 4, p. 571-582
Keywords
Deforestation
Driving forces
Forest regeneration
Land-cover change
Shrubland regeneration
Description / Notes
Las figuras y apéndices que contiene el documento se localizan al final del mismo.
Project
Info:eu-repo/REFORLAN/(Programa INCO CT2006-032132)
info:eu-repo/grantAgreement/MICINN//CGL2010-18312/ES/RESTAURACION DE LA BIODIVERSIDAD Y LOS SERVICIOS ECOSISTEMICOS EN SISTEMAS AGRARIOS. UN ENFOQUE MULTI-ESCALA/
info:eu-repo/grantAgreement/CAM//S2009%2FAMB-1783/ES/Restauración y conservación de los ecosistemas madrileños: respuesta frente al cambio global/
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
http://dx.doi.org/10.1111/j.1654-109X.2011.01135.xRights
Atribución-NoComercial-SinDerivadas 3.0 España
© Wiley, 2011
© International Association for Vegetation Science, 2011
Access rights
info:eu-repo/semantics/openAccess
Abstract
Questions: Which are the factors that influence forest and shrubland loss and regeneration and their underlying drivers?
Location: Central Chile, a world biodiversity hotspot.
Methods: Using land-cover data from the years 1975, 1985, 1999 and 2008, we fitted classification trees and multiple logistic regression models to account for the relationship between different trajectories of vegetation change and a range of biophysical and socio-economic factors.
Results: The variables that most consistently showed significant effects on vegetation change across all time-intervals were slope and distance to primary roads. We found that forest and shrubland loss on one side and regeneration on the other often displayed opposite patterns in relation to the different explanatory variables. Deforestation was positively related to distance to primary roads and to distance within forest edges and was favoured by a low insolation and a low slope. In turn, forest regeneration was negatively related to the distance to primary roads and positively to the distance to the nearest forest patch, insolation and slope. Shrubland loss was positively influenced by slope and distance to cities and primary roads and negatively influenced by distance to rivers. Conversely, shrubland regeneration was negatively related to slope, distance to cities and distance to primary roads and positively related to distance from existing forest patches and distance to rivers.
Conclusions: This article reveals how biophysical and socioeconomic factors influence vegetation cover change and the underlying social, political and economical drivers. This assessment provides a basis for management decisions, considering the crucial role of perennial vegetation cover for sustaining biodiversity and ecosystem services.
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Files | Size | Format |
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Factors_influencing_AVS_2011.pdf | 502.8Kb |
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