Fuzzy rule-based decision support system for evaluation of long-established forest restoration projects

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/72589
Información del item - Informació de l'item - Item information
Título: Fuzzy rule-based decision support system for evaluation of long-established forest restoration projects
Autor/es: Ocampo-Melgar, Anahí | Valls, Aida | Alloza Millán, José Antonio | Bautista, Susana
Grupo/s de investigación o GITE: Gestión de Ecosistemas y de la Biodiversidad (GEB)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ecología
Palabras clave: Expert-based systems | Forest restoration | Fuzzy logic | Restoration evaluation
Área/s de conocimiento: Ecología
Fecha de publicación: may-2016
Editor: Wiley
Cita bibliográfica: Restoration Ecology. 2016, 24(3): 298-305. doi:10.1111/rec.12325
Resumen: Although the importance of monitoring and evaluation of restoration actions is increasingly acknowledged, availability of accurate, quantitative monitoring data is very rare for most restoration areas, particularly for long-established restoration projects. We propose using fuzzy rule-based expert systems to evaluate the degree of success of restoration actions when available information on project results and impacts largely relies on expert-based qualitative assessments and rough estimates of quantitative values. These systems use fuzzy logic to manage the uncertainty present in the data and to integrate qualitative and quantitative information. To illustrate and demonstrate the potential of fuzzy rule-based systems for restoration evaluation, we applied this approach to seven forest restoration projects implemented in Spain between 1897 and 1952, using information compiled in the REACTION database on Mediterranean forest restoration projects. The information available includes both quantitative and expert-based qualitative data, and covers a wide variety of indicators grouped into technical, structural, functional, and socioeconomic criteria. The fuzzy rule-based system translates expert knowledge of restoration specialists and forest managers into a set of simple logic rules that integrate information on individual indicators into more general evaluation criteria. The rule-based approach proposed here can be readily applicable to any kind of restoration project, provided that some information, even if vague and uncertain, is available for a variety of assessment indicators. The evaluation of long-established forest restoration projects implemented in Spain revealed important asymmetries in the degree of restoration success between technical, structural, functional, and socioeconomic criteria.
Patrocinador/es: This work has been supported by REACTION (contract no. EVK2-CT2002-80025) and CASCADE (FP7, grant agreement no. 283068) projects, funded by the European Commission; DRYEX project, funded by the Spanish Ministry of Economy and Competiveness (CGL2014-59074-R); and ITAKA research group, under the Government of Catalonia grants 2009SGR-01523 and 2014SGR-652.
URI: http://hdl.handle.net/10045/72589
ISSN: 1061-2971 (Print) | 1526-100X (Online)
DOI: 10.1111/rec.12325
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2016 Society for Ecological Restoration
Revisión científica: si
Versión del editor: http://dx.doi.org/10.1111/rec.12325
Aparece en las colecciones:Investigaciones financiadas por la UE
INV - GEB - Artículos de Revistas

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
Thumbnail2016_Ocampo-Melgar_etal_RestEco_final.pdfVersión final (acceso restringido)483,07 kBAdobe PDFAbrir    Solicitar una copia


Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.