Developing a framework for growth modelling in a managed southern black beech forest

Abstract Background A model of individual tree growth using simple predictors in a managed black beech (Fuscospora solandri (Hook.f.) Heenan & Smissen) forest could provide a useful tool for predicting future stand characteristics. Methods Data from permanent sample plots were used to develop a...

Full description

Bibliographic Details
Main Authors: Elias Ganivet, Elena Moltchanova, Mark Bloomberg
Format: Article
Language:English
Published: Scion 2017-06-01
Series:New Zealand Journal of Forestry Science
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40490-017-0092-4
id doaj-1eb3b46417e443b4971221f24f821875
record_format Article
spelling doaj-1eb3b46417e443b4971221f24f8218752020-11-24T22:01:25ZengScionNew Zealand Journal of Forestry Science1179-53952017-06-014711910.1186/s40490-017-0092-4Developing a framework for growth modelling in a managed southern black beech forestElias Ganivet0Elena Moltchanova1Mark Bloomberg2Department of Land Management and Systems, Faculty of Agribusiness and Commerce, Lincoln UniversitySchool of Mathematics and Statistics, University of CanterburyDepartment of Land Management and Systems, Faculty of Agribusiness and Commerce, Lincoln UniversityAbstract Background A model of individual tree growth using simple predictors in a managed black beech (Fuscospora solandri (Hook.f.) Heenan & Smissen) forest could provide a useful tool for predicting future stand characteristics. Methods Data from permanent sample plots were used to develop a framework for modelling individual tree growth in Woodside forest, a managed black beech forest in north Canterbury (New Zealand). We tested three mixed-effect models to identify effects of sites, treatment (thinnings), individual tree size and competition on tree growth rates. Results A power function amended with variables specifying stand basal area and thinning treatment was best suited for black beech, explaining about 55% of the variation in growth rates. Treatment history (thinnings), as well as the individual tree size and the stand basal area, strongly affected tree diameter growth. Only 3% of the variation in diameter growth rates was explained by plot-specific effect which was less than observed in earlier studies. Conclusions All predictor variables (management history, individual tree diameter and stand basal area) are quite simple to measure in the field and could be easily used to predict diameter increments in managed or unmanaged forests. A limitation of our study was that available growth data in Woodside were from small plots, focused on a small number of trees and a narrow range of diameters. However, our results are a good starting point, providing a promising framework for further modelling of tree growth in Woodside forest from new permanent plot data.http://link.springer.com/article/10.1186/s40490-017-0092-4Mixed-effect modelsWoodside forestBlack beech forestForest managementNew Zealand
collection DOAJ
language English
format Article
sources DOAJ
author Elias Ganivet
Elena Moltchanova
Mark Bloomberg
spellingShingle Elias Ganivet
Elena Moltchanova
Mark Bloomberg
Developing a framework for growth modelling in a managed southern black beech forest
New Zealand Journal of Forestry Science
Mixed-effect models
Woodside forest
Black beech forest
Forest management
New Zealand
author_facet Elias Ganivet
Elena Moltchanova
Mark Bloomberg
author_sort Elias Ganivet
title Developing a framework for growth modelling in a managed southern black beech forest
title_short Developing a framework for growth modelling in a managed southern black beech forest
title_full Developing a framework for growth modelling in a managed southern black beech forest
title_fullStr Developing a framework for growth modelling in a managed southern black beech forest
title_full_unstemmed Developing a framework for growth modelling in a managed southern black beech forest
title_sort developing a framework for growth modelling in a managed southern black beech forest
publisher Scion
series New Zealand Journal of Forestry Science
issn 1179-5395
publishDate 2017-06-01
description Abstract Background A model of individual tree growth using simple predictors in a managed black beech (Fuscospora solandri (Hook.f.) Heenan & Smissen) forest could provide a useful tool for predicting future stand characteristics. Methods Data from permanent sample plots were used to develop a framework for modelling individual tree growth in Woodside forest, a managed black beech forest in north Canterbury (New Zealand). We tested three mixed-effect models to identify effects of sites, treatment (thinnings), individual tree size and competition on tree growth rates. Results A power function amended with variables specifying stand basal area and thinning treatment was best suited for black beech, explaining about 55% of the variation in growth rates. Treatment history (thinnings), as well as the individual tree size and the stand basal area, strongly affected tree diameter growth. Only 3% of the variation in diameter growth rates was explained by plot-specific effect which was less than observed in earlier studies. Conclusions All predictor variables (management history, individual tree diameter and stand basal area) are quite simple to measure in the field and could be easily used to predict diameter increments in managed or unmanaged forests. A limitation of our study was that available growth data in Woodside were from small plots, focused on a small number of trees and a narrow range of diameters. However, our results are a good starting point, providing a promising framework for further modelling of tree growth in Woodside forest from new permanent plot data.
topic Mixed-effect models
Woodside forest
Black beech forest
Forest management
New Zealand
url http://link.springer.com/article/10.1186/s40490-017-0092-4
work_keys_str_mv AT eliasganivet developingaframeworkforgrowthmodellinginamanagedsouthernblackbeechforest
AT elenamoltchanova developingaframeworkforgrowthmodellinginamanagedsouthernblackbeechforest
AT markbloomberg developingaframeworkforgrowthmodellinginamanagedsouthernblackbeechforest
_version_ 1725839654793510912