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Why and where do adult trees die in a young secondary temperate forest? The role of neighbourhood / José Miguel Olano in Annals of Forest Science, Vol 66 n° 1 (January - February 2009)  

Public [article]  inAnnals of Forest Science > Vol 66 n° 1 (January - February 2009) . - n° 105 Titre : Why and where do adult trees die in a young secondary temperate forest? The role of neighbourhood Titre original : Pourquoi et où les arbres adultes meurent dans une jeune forêt tempérée ? Le rôle du voisinage Type de document : Article/Communication Auteurs : José Miguel Olano, Auteur ; Nere Amaia Laskurain, Auteur ; Adrián Escudero, Auteur ; Marcelino De La Cruz, Auteur Année de publication : 2009 Article en page(s) : n° 105 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] dépérissement [Termes IGN] forêt tempérée [Termes IGN] modèle mathématique [Termes IGN] mortalité [Termes IGN] peuplement mélangé [Vedettes matières IGN] Sylviculture Résumé : (auteur) The density and identity of tree neighbourhood is a key factor to explain tree mortality in forests, especially during the stem exclusion phase. $\bullet$ To understand this process, we built a logistic model for mortality in a spatially explicit context, including tree and neighbourhood predictors. Additionally, we used this model to build mortality risk frequency distributions. Finally, we tested this model against a random mortality model to predict the spatial pattern of the forest. $\bullet$ Annual mortality rate was high for pedunculate oak (Quercus robur, 6.99%), moderate for birch (Betula celtiberica, 2.19%) and Pyrenean oak (Q. pyrenaica, 1.58%) and low for beech (Fagus sylvatica, 0.26%). Mortality risk models for pedunculate oak and birch included stem diameter, tree height, canopy position and neighbourhood. Mortality was affected by the specific nature of the neighbourhood showing a clear competitive hierarchy: beech > pedunculate oak > birch. Models based on random mortality and logistic regression model were able to predict the spatial pattern of survivors although logistic regression predictions were more accurate. $\bullet$ Our study highlights how simple models such as the random mortality one may obscure much more complex spatial interactions. Numéro de notice : A2009-724 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1051/forest:2008074 Date de publication en ligne : 14/01/2009 En ligne : https://www.afs-journal.org/articles/forest/abs/2009/01/f08212/f08212.html Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=71763 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
IFN-DIR-P000294	PER	Revue	Nogent-sur-Vernisson	Salle périodiques	Exclu du prêt