Modeling mortality of individual trees in drained peatland sites in Finland

Jutras, Sylvain; Hökkä, Hannu; Alenius, Virpi; Salminen, Hannu

doi:10.14214/sf.504

Cited by 44 publications

(55 citation statements)

References 21 publications

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“…Drobyshev et al (2009) found a significant and consistent association between tree condition and the probability of mortality, and significantly higher mortality rates in smaller trees of oak. The same variables as those finally included in the mortality model for Quercus pyrenaica have also been identified for others species: inverse of diameter at breast height (Bravo-Oviedo et al, 2006;Jutras et al, 2003;Karlsson and Norell, 2005); and individual height-dominant height ratio (Avila and Burkhart, 1992).…”

Section: Discussionmentioning

confidence: 99%

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Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Adame¹,

Rı́o²,

Cañellas³

2010

Ann. For. Sci.

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Keywords:individual-tree mortality model / logistic regression / mixed model / rebollo oak / Mediteranean oak Abstract • Tree mortality is an important process in forest ecosystem dynamics and is one of the least understood phenomena, because of the complex interactions between different environmental stresses, minimal understanding of whole-plant mortality processes, and a chronic shortage of data.• A multilevel logistic regression model was developed for predicting the probability of mortality in individual trees with the objective of improving long-term planning in Spanish pyrenean oak forests. The data came from one 10-year re-measurement of the permanent plot network belonging to the Spanish National Forest Inventory distributed throughout north-west Spain.• The probability of mortality decreased with increasing individual diameter at breast height and increasing ratio of the height of subject tree to the dominant height of the sample plot. The resulting mortality model was evaluated using an independent data set from a region close to the study area.• The regeneration of pyrenean oak generally takes place through stump and/or root sprouting; so stand dynamics differ from those of others species. The model developed is expected to improve the accuracy of stand forecasts in northwest Spain.

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Section: Discussionmentioning

confidence: 99%

“…The model specification was made according to the structure laid down by Jutras et al (2003). The distribution for the response is y i j ∼ Bin π i j , 1 , where y i j is the observed response of tree i in plot j and π i j is the corresponding response probability.…”

Section: Multilevel Model With Binary Responsementioning

confidence: 99%

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Adame¹,

Rı́o²,

Cañellas³

2010

Ann. For. Sci.

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“…[25,55]). Because catastrophic mortality is not clearly related to stand or site features, it is often difficult to distinguish this type of mortality with traditional logistic models.…”

Section: Discussionmentioning

confidence: 99%

“…Severe inter-tree competition gradually decreases the growth of individual trees and eventually leads to the death of some individuals [25]. The mixture of species and the structural complexity in northern hardwood stands make mortality modeling even more complex, because shade tolerance and life cycles differ among species.…”

Section: Introductionmentioning

confidence: 99%

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Predicting individual tree mortality in northern hardwood stands under uneven-aged management in southern Québec, Canada

et al. 2008

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-This study proposes a generalized linear mixed model to predict individual tree mortality in northern hardwood stands under uneven-aged management. The model is based on a complementary log-log (CLL) link function, and was calibrated using permanent-plot data. Tree vigor, stem product, diameter at breast height and stand basal area were tested as explanatory variables. A plot and an interval random effect were specified to account for spatial correlations. When compared with the traditional logit link function, the CLL facilitates the inclusion of the time factor. In this case study, there was an important variability of mortality predictions between the plots and the intervals for a given plot. The interval random effect is thought to be associated with catastrophic mortality. Since both tree vigor and stem product proved to be significant mortality predictors, we recommend that these variables be evaluated to increase the accuracy of mortality models. mortality / generalized linear mixed model / random effects / hardwoods / single-tree selection cutting Résumé -Prévision de la mortalité des tiges individuelles dans les peuplements de feuillus nobles sous aménagement inéquienne dans le sud du Québec, Canada. Cette étude présente un modèle linéaire mixte généralisé pour la prévision de la mortalité dans les peuplements de feuillus nobles sous aménagement. Le modèle utilise une fonction de lien log-log complémentaire (LLC) et a été étalonné à l'aide de données de placettes permanentes. La vigueur de l'arbre, le produit, le diamètre à hauteur de poitrine et la surface terrière ont été testés comme variables explicatives. Des effets aléatoires de placette et d'intervalle ont été spécifiés dans le modèle afin de tenir compte des corrélations spatiales. Comparée au traditionnel logit, la fonction de lien LLC facilite l'inclusion du facteur temps. Dans ce cas d'étude, il existait une importante variabilité des prévisions entre les placettes et les intervalles de temps d'une même placette. On présume que l'effet aléatoire d'intervalle représente la mortalité catastrophique. Puisque la vigueur et le produit des tiges se sont avérés être des variables significatives, il est recommandé de les évaluer afin d'améliorer la précision des modèles de mortalité. mortalité / modèle linéaire mixte généralisé / effets aléatoires / feuillus nobles / jardinage par pied d'arbre

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Forest Growth and Yield Modeling

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Modeling mortality of individual trees in drained peatland sites in Finland

Cited by 44 publications

References 21 publications

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Predicting individual tree mortality in northern hardwood stands under uneven-aged management in southern Québec, Canada

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