Using longitudinal survival probabilities to test field vigour estimates in sugar maple (Acer saccharum Marsh.)

Hartmann, Henrik; Beaudet, Marilou et Messier, Christian (2008). « Using longitudinal survival probabilities to test field vigour estimates in sugar maple (Acer saccharum Marsh.) ». Forest Ecology and Management, 256, pp. 1771-1779.

Fichier(s) associé(s) à ce document :
[img]
Prévisualisation
PDF
Télécharger (303kB)

Résumé

Tree mortality is a major force driving forest dynamics. To foresters, however, tree mortality is often considered a loss in productivity. To reduce tree mortality, silvicultural systems, such as selection cuts, aim at removing trees that are more likely to die. In order to identify trees with higher risks of mortality, field classifications are employed that assess vigour based on external characteristics of trees. We used a novel longitudinal approach for estimating survival probabilities based on ring-width measurements, initially developed by Bigler and Bugmann [Bigler, C., Bugmann, H., 2004. Predicting the time of tree death using dendrochronological data. Ecol. Appl. 14 (3), 902-914], to parameterize a survival probability model for sugar maple (Acer saccharum Marsh.) and to test whether field-assessed tree vigour classes are corroborated by survival probabilities determined from radial growth history. Data from 56 dead and 321 live sugar maples were collected in stands in western Quebec (Canada) that had undergone a selection cut ≈10 years prior to sampling. Our results showed that tree vigour established from external defects and pathological symptoms, using the classification of Boulet [Boulet, B., 2005. De

Type: Article de revue scientifique
Mots-clés ou Sujets: Selection cut, Radial growth, Survival model, Logistic model
Unité d'appartenance: Faculté des sciences > Département des sciences biologiques
Déposé par: Christian Messier
Date de dépôt: 24 nov. 2008
Dernière modification: 01 nov. 2014 02:07
Adresse URL : http://archipel.uqam.ca/id/eprint/1329

Statistiques

Voir les statistiques sur cinq ans...