Centre dedocumentation
scientifique

Landscape metrics for characterization of forest landscapes in a sustainable management framework: Potential application and prevention of misuse / Emilio R. Diaz-Varela in Annals of Forest Science, Vol 66 n° 3 (April - May 2009)  

Public [article]  inAnnals of Forest Science > Vol 66 n° 3 (April - May 2009) . - n° 301 Titre : Landscape metrics for characterization of forest landscapes in a sustainable management framework: Potential application and prevention of misuse Titre original : Indices quantitatifs de paysage pour une caractérisation des paysages forestiers dans le cadre d'une gestion durable: application potentielle et prévention de mauvaise utilisation Type de document : Article/Communication Auteurs : Emilio R. Diaz-Varela, Auteur ; Manuel F. Marey-Pérez, Auteur ; Antonio Rigueiro-Rodriguez, Auteur ; Pedro Álvarez-Álvarez, Auteur Année de publication : 2009 Article en page(s) : n° 301 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] forêt [Termes IGN] gestion durable [Termes IGN] indicateur paysager [Termes IGN] modèle mathématique [Termes IGN] statistique mathématique [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) The use of landscape indices in the analysis of forest landscapes offers great potential for integration of spatial pattern information in management processes, but requires understanding of the limitations and correct interpretation of results. In this sense, awareness of scale effects on landscape indices is essential, especially when the data available is restricted to low-resolution maps. In this study, developed within the framework of the FORSEE project, the objective was to define accurately the potential usefulness of applying landscape indices to low-resolution maps commonly used in forestry studies. Landscape indices were applied to two maps differing in spatial resolution, and subsets were defined for three spatial extensions. Correlation analysis and comparison of the results were carried out to enable identification of the most suitable indices for use with low resolution data. The analysis enabled identification of the least scale-dependent indices, which are thus more useful for extrapolating results from low-resolution data. In general terms, diversity and edge indices provided the best results. We conclude that some (but not all) of the landscape indices can be used to analyse low-resolution maps with acceptable results. Additional advice is made to prevent misuse of the application of landscape indices. Numéro de notice : A2009-704 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1051/forest/2009004 Date de publication en ligne : 10/03/2009 En ligne : https://www.afs-journal.org/articles/forest/full_html/2009/03/f07184/f07184.html Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=72056 [article]