Height Allometry of Pinus nigra Arn. in Troodos National Forest Park, Cyprus

Dimitrios I. Raptis, Vassiliki Kazana, Nikolaos Onisiforou, Christos Stamatiou and Angelos Kazaklis
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Dimitrios I. Raptis: Department of Forest and Natural Environment Sciences, International Hellenic University, 66100 Drama, Greece
Vassiliki Kazana: Department of Forest and Natural Environment Sciences, International Hellenic University, 66100 Drama, Greece
Nikolaos Onisiforou: Department of Forest and Natural Environment Sciences, International Hellenic University, 66100 Drama, Greece
Christos Stamatiou: Department of Forest and Natural Environment Sciences, International Hellenic University, 66100 Drama, Greece
Angelos Kazaklis: OLYMPOS-Centre for Integrated Environmental Management, 55132 Thessaloniki, Greece

Sustainability, 2021, vol. 13, issue 11, 1-18

Abstract: Total height is one of the basic morphometric tree variables included in all forest management inventories, because it is connected with several forest processes and functions related to the estimation of the woody tree volume and sustainable forest yield. The current research, based on a total sample of 1059 measured Black pine ( Pinus nigra Arn.) trees from Cyprus, is an attempt to explore the biological processes related to the tree height allometry of this species and develop a generalized mixed-effects model for tree height prediction. The proposed model, with three additional basic covariates and two random parameters, explained almost 96% of the height variance. The model results showed that although competition and site-connected variables affected the total height, it was the crown base height that explained, to a large degree, the height expression. Through the mixed-effects modeling approach it was possible to explore the complex biological processes related to the tree allometry of Black pine and depict those within a mathematical formulation. The proposed generalized model decreased the error significantly, and therefore it can be used for operational forest management purposes. However, for marginal predictions, use of only the fixed part of the basic model could suffice, since this also provided unbiased parameter estimates.

Keywords: forest ecosystems; Näslund function; pine ecology; tree structure (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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