Integrating variation in tree growth into forest planning

Forest planning is always influenced by uncertain factors. Variations in growth, outcome of regeneration, timber prices, costs and mortality cannot be avoided, whereas the quality of inventory data and the models used for estimation of the state and development of forests can be improved. Method...

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Main Author: Pasanen, Kari
Format: Article
Language:English
Published: Finnish Society of Forest Science 1998-01-01
Series:Silva Fennica
Online Access:https://www.silvafennica.fi/article/697
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author Pasanen, Kari
author_facet Pasanen, Kari
author_sort Pasanen, Kari
collection DOAJ
description Forest planning is always influenced by uncertain factors. Variations in growth, outcome of regeneration, timber prices, costs and mortality cannot be avoided, whereas the quality of inventory data and the models used for estimation of the state and development of forests can be improved. Methods have been developed for incorporating risk and attitude toward risk in decision analysis, but there has been a lack of good models for dealing with the various sources of risk. The aim of this study was to estimate stochastic models for the variation in growth of Scots pine (Pinus sylvestris), Norway spruce (Picea abies) and birch (Betula pendula and Betula pubescens). The said models had to be capable of generating growth scenarios, and thus correlations between series had to be taken into account. ARMA models were estimated for mean growth index series from Pohjois-Karjala, eastern Finland. Several ARMA models, some of which had seasonal parameters, were found to be adequate for each series. Non-seasonal AR(1) and seasonal AR(1,1) models were used to produce growth scenarios in the case study, in which variation in growth was integrated into forest planning.
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spelling doaj.art-3c58364aaa6b4c70b9882903d992c4702022-12-22T01:49:02ZengFinnish Society of Forest ScienceSilva Fennica2242-40751998-01-0132110.14214/sf.697Integrating variation in tree growth into forest planningPasanen, KariForest planning is always influenced by uncertain factors. Variations in growth, outcome of regeneration, timber prices, costs and mortality cannot be avoided, whereas the quality of inventory data and the models used for estimation of the state and development of forests can be improved. Methods have been developed for incorporating risk and attitude toward risk in decision analysis, but there has been a lack of good models for dealing with the various sources of risk. The aim of this study was to estimate stochastic models for the variation in growth of Scots pine (Pinus sylvestris), Norway spruce (Picea abies) and birch (Betula pendula and Betula pubescens). The said models had to be capable of generating growth scenarios, and thus correlations between series had to be taken into account. ARMA models were estimated for mean growth index series from Pohjois-Karjala, eastern Finland. Several ARMA models, some of which had seasonal parameters, were found to be adequate for each series. Non-seasonal AR(1) and seasonal AR(1,1) models were used to produce growth scenarios in the case study, in which variation in growth was integrated into forest planning.https://www.silvafennica.fi/article/697
spellingShingle Pasanen, Kari
Integrating variation in tree growth into forest planning
Silva Fennica
title Integrating variation in tree growth into forest planning
title_full Integrating variation in tree growth into forest planning
title_fullStr Integrating variation in tree growth into forest planning
title_full_unstemmed Integrating variation in tree growth into forest planning
title_short Integrating variation in tree growth into forest planning
title_sort integrating variation in tree growth into forest planning
url https://www.silvafennica.fi/article/697
work_keys_str_mv AT pasanenkari integratingvariationintreegrowthintoforestplanning