Summary
Published in Forests 12(6): 740. https://doi.org/10.3390/f12060740
Research Highlights: The spatial distribution of trees results from several ecological processes that can be difficult to measure. We applied a point process modelling approach that uses the diameter and species of neighbouring trees to represent inter-tree interactions through repulsive and attractive processes. Thinning treatments slightly influence the tree spatial distribution of trees in white spruce plantations. Integrating this “spatialiser” into growth models could help improve stand simulations following various thinning treatments over larger areas and longer periods. It could also allow for the use of spatially explicit models when tree position is not available. Background and Objectives: Tree spatial patterns result from several ecological processes and have important implications in forest ecology and management. The use of spatial information can significantly improve our understanding of forest structures. However, this implies intensive field work that is rarely integrated into forest inventories. The aims of this study were to develop a spatial distribution simulator of trees in white spruce plantations and to evaluate the influence of thinning treatments. Materials and Methods: A point process modelling approach was used to represent inter-tree interactions through repulsive and attractive process in white spruce (Picea glauca (Moench) Voss) plantations in eastern Quebec, Canada, that had been commercially thinned five years ago. Balsam fir (Abies balsamea (L.) Mill.) and hardwoods together can represent 30–40% of the basal area of these plantations. Results: The diameter and species of each tree’s two closest neighbours were found to be the most important predictors in explaining the observed distances between trees. Despite the short period since thinning treatments, results showed that the treatment had slight significant effects on tree interactions. However, their impact on the global spatial distribution of stands is quite limited. Conclusions: Using only a few readily-available variables (species and diameter of trees), this “spatialiser” will make it possible to assign spatial coordinates to trees and generate realistic stand spatial structures even after various silvicultural treatments.
File
Sector(s):
Forests
Categorie(s):
Forestry Research Paper
Theme(s):
Forest Growth and Yield Modelling, Forestry Research, Silviculture
Departmental author(s):
Author(s)
DUCHATEAU, Emmanuel, Robert SCHNEIDER, Stéphane TREMBLAY, Laurie DUPONT-LEDUC et Hans PRETZSCH
Year of publication :
2021
Format :
ISSN
1999-4907
Keywords :
simulateur de spatialisation, modèle de distribution spatiale, plantations d'épinette blanche, traitement d'éclaircie, intéractions inter-arbres, épinette blanche, sapin baumier, modélisation de la croissance et du rendement des forêts, sylviculture et rendement des plantations, article scientifique de la recherche forestière, Picea glauca, Abies balsamea, forest growth and yield modelling, silviculture and yield of plantations, spatial simulator, spatial pattern modelling, white spruce plantations, thinning treatment, inter-tree interactions, white spruce, balsam fir, forestry research scientific article
