Delisle-BoulianneFortinAchimEtAl2014

Référence

Delisle-Boulianne, S., Fortin, M., Achim, A. and Pothier, D. (2014) Modelling stem selection in northern hardwood stands: assessing the effects of tree vigour and spatial correlations using a copula approach. Forestry, 87(5):607-617. (URL )

Résumé

Growth and yield simulators are often used to assess the long-term sustainability of selection cuttings in northern hardwood stands. Because residual tree growth is affected by tree removal, growth simulators must be coupled with a harvest model to adequately predict future stand development. Harvest models may consider variables such as species, diameter at breast height (DBH), spatial coordinates of the trees and indicators of stem quality and vigour. Through the development of a harvest model applicable to selection cuttings in northern hardwood stands, we aimed to quantify the loss of accuracy caused by the omission of either tree spatial coordinates or tree quality/vigour descriptors from the predictor variables. Spatial correlations were handled using both generalized linear mixed-effect models and a copula approach. Tree vigour and quality were assessed using three different classification systems used in practice. The inclusion of tree vigour and spatial correlations through the copula approach led to a 12 per cent improvement in maximum log-likelihood. However, the inclusion of the spatial coordinates of each tree only accounted for one quarter of this 12 per cent. In cases where a growth simulator uses tree vigour class as input, we recommend the inclusion of this variable in the associated harvest sub-model.

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@ARTICLE { Delisle-BoulianneFortinAchimEtAl2014,
    AUTHOR = { Delisle-Boulianne, S. and Fortin, M. and Achim, A. and Pothier, D. },
    TITLE = { Modelling stem selection in northern hardwood stands: assessing the effects of tree vigour and spatial correlations using a copula approach },
    JOURNAL = { Forestry },
    YEAR = { 2014 },
    VOLUME = { 87 },
    PAGES = { 607-617 },
    NUMBER = { 5 },
    ABSTRACT = { Growth and yield simulators are often used to assess the long-term sustainability of selection cuttings in northern hardwood stands. Because residual tree growth is affected by tree removal, growth simulators must be coupled with a harvest model to adequately predict future stand development. Harvest models may consider variables such as species, diameter at breast height (DBH), spatial coordinates of the trees and indicators of stem quality and vigour. Through the development of a harvest model applicable to selection cuttings in northern hardwood stands, we aimed to quantify the loss of accuracy caused by the omission of either tree spatial coordinates or tree quality/vigour descriptors from the predictor variables. Spatial correlations were handled using both generalized linear mixed-effect models and a copula approach. Tree vigour and quality were assessed using three different classification systems used in practice. The inclusion of tree vigour and spatial correlations through the copula approach led to a 12 per cent improvement in maximum log-likelihood. However, the inclusion of the spatial coordinates of each tree only accounted for one quarter of this 12 per cent. In cases where a growth simulator uses tree vigour class as input, we recommend the inclusion of this variable in the associated harvest sub-model. },
    DOI = { 10.1093/forestry/cpu034 },
    EPRINT = { http://forestry.oxfordjournals.org/content/87/5/607.full.pdf+html },
    URL = { http://forestry.oxfordjournals.org/content/87/5/607.abstract },
}

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