A comparison of models for quantifying growth and standing carbon in UK Scots pine forests

Jack Lonsdale*, Georgios Xenakis, Maurizio Mencuccini, Mike Perks

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Scots pine is the most abundant native conifer in the UK. A stand level dynamic growth (SLeDG) model is parametrised for British Scots pine stands for the first time. This model predicts stands annually based on their current state, and allows for changes in forest management. Stand growth and carbon storage predictions using this model were compared with those of the yield look-up package ForestYield, and a process-based model (3PGN). Predictions were compared graphically over an 100 year rotation, and strengths and weaknesses of each were considered. The SLeDG parametrisation provided forecasts of Scots pine growth with percentage mean absolute difference <12% for all state variables. The model comparison showed that similar outputs were predicted by all three models, with the greatest variation in the yield table based prediction of volume and biomass. Future advances in data availability and computing power should allow for greater use of process-based models, but in the interim more flexible dynamic based growth models may be more useful than static yield tables for providing predictions which extend to non-standard management prescriptions and estimates of early growth and yield.

Original languageEnglish
Pages (from-to)596-605
Number of pages10
JournalIforest-Biogeosciences and forestry
Publication statusPublished - 2 Feb 2015

Keywords / Materials (for Non-textual outputs)

  • Growth
  • Yield
  • Carbon
  • Modelling
  • Dynamical-systems
  • 3PG
  • Forest-Yield
  • 3-PG


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