Original scientific paper
TREE VOLUME MODEL ESTIMATES AND NEAREST NEIGHBOR ANALYSIS IN THE STANDS OF SCOTS PINE (Pinus sylvestris L.) IN THE CENTRAL PART OF RODOPE MOUNTAIN
Kyriaki Kitikidou
orcid.org/0000-0003-3198-9387
; Democritus University, Department of Forestry and Management of the Environment and Natural Resources, Orestiada, Greece
Elias Milios
; Democritus University, Department of Forestry and Management of the Environment and Natural Resources, Orestiada, Greece
Ioannis Lipiridis
; Democritus University, Department of Forestry and Management of the Environment and Natural Resources, Orestiada, Greece
Abstract
Scots pine (Pinus sylvestris L.) is a native species of Europe and Asia, important for its timber. The aim of this study was to develop volume estimation models for the Scots pine in the central part of the Rhodope mountains (Northeastern Greece). For each sampled tree the three nearest trees were examined, applying nearest neighbor analysis. For the Scots pine of the central part of the Rhodope mountains, regression models, which estimate the volume using breast height diameter and total height as predictor variables, were fitted. In addition, nearest neighbor analysis was applied to examine possible effects on form factor of nearest trees and their distances to sampled trees. Three site types were distinguished in the research area, A, B, C (good, medium, and poor site qualities). For the site type C it wasn’t possible to develop a volume estimation model. For the rest of the sites the selected models are: For site type Α: , R2 = 0.7653, standard error = 0.3096, for site type B: , R2 = 0.8146, standard error = 0.3379, for the total area: , R2 = 0.8377, standard error = 0.3039. There is not a clear effect of the distance of the nearest trees on the form factor of sampled trees. This study lead to the development of volume estimation models for site types A, B, and for the whole study area. Nearest neighbor analysis showed that the species and dimensions of the nearest trees had different influence in the form of trees.
Keywords
Pinus sylvestris; Greece; volume model estimation; nearest neighbor analysis
Hrčak ID:
135181
URI
Publication date:
31.12.2014.
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