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Modelling branchiness of Corsican pine with mixed-effect models (Pinus nigra Arnold ssp. laricio (Poiret) Maire)

1998; EDP Sciences; Volume: 55; Issue: 3 Linguagem: Inglês

10.1051/forest

1878-6545

Céline Meredieu, Francis Colin, Jean‐Christophe Hervé,

Plant Pathogens and Fungal Diseases

In order to predict the influence of silvicultural practices on knottiness and canopy struc- ture, models were constructed to predict branch characteristics of Corsican Pine (Pinus nigra Arnold ssp.laricio (Poiret) Maire var.corsicana) from usual tree measurements.Thirty-six trees were sampled from a broad range of age, stand density and site index.Mixed models were fitted on branch length and on branch angle after a linearization procedure.A segmented second order polynomial model was chosen for the diameter profile.Nevertheless, this model seemed difficult to be transformed for fitting mixed models, but a global model was however satisfactory.For real- istic simulations with these models, we generated simulated correlated residuals of angle and diameter in order to maintain the negative link between angle and diameter of a branch.The mixed model method provides an improvement of the fit by accounting for inter-tree differences and/or intra-tree similarities and also an improvement of the simulation.The possibility to fit mixed- effect non-linear models allows a great number of models.(© Inra/Elsevier, Paris.)branchiness / Pinus nigra ssp.laricio / modelling / mixed model / simulation Résumé -Modélisation de la branchaison du pin laricio à l'aide de modèles à effets mixtes (Pinus nigra Arnold ssp.laricio (Poiret) Maire).Dans le but final de prévoir l'influence de la sylviculture sur la nodosité et le couvert, des modèles de prédiction des principales caractéristiques des branches à partir des données dendrométriques usuelles ont été construits.Trente-six pins lari- cio (Pinus nigra Arnold ssp.