Calibration of the process-based model 3-PG for major central European tree species

David I Forrester,Amanda S Mathys,Martina L Hobi,Golo Stadelmann,Volodymyr Trotsiuk

doi:10.1007/s10342-021-01370-3

Abstract

Process-based forest models are important tools for predicting forest growth and their vulnerability to factors such as climate change or responses to management. One of the most widely used stand-level process-based models is the 3-PG model (Physiological Processes Predicting Growth), which is used for applications including estimating wood production, carbon budgets, water balance and susceptibility to climate change. Few 3-PG parameter sets are available for central European species and even fewer are appropriate for mixed-species forests. Here we estimated 3-PG parameters for twelve major central European tree species using 1418 long-term permanent forest monitoring plots from managed forests, 297 from un-managed forest reserves and 784 Swiss National Forest Inventory plots. A literature review of tree physiological characteristics, as well as regression analyses and Bayesian inference, were used to calculate the 3-PG parameters.The Swiss-wide calibration, based on monospecific plots, showed a robust performance in predicting forest stocks such as stem, foliage and root biomass. The plots used to inform the Bayesian calibration resulted in posterior ranges of the calibrated parameters that were, on average, 69% of the prior range. The bias of stem, foliage and root biomass predictions was generally less than 20%, and less than 10% for several species. The parameter sets also provided reliable predictions of biomass and mean tree sizes in mixed-species forests. Given that the information sources used to develop the parameters included a wide range of climatic, edaphic and management conditions and long time spans (from 1930 to present), these species parameters for 3-PG are likely to be appropriate for most central European forests and conditions.

Highlights

IntroductionPolicy makers and scientists often use models to estimate forest biomass or wood production, carbon budgets, and the impacts of climate change, management, or Communicated by Rüdiger Grote
Foresters, policy makers and scientists often use models to estimate forest biomass or wood production, carbon budgets, and the impacts of climate change, management, or Communicated by Rüdiger Grote.Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zuercherstrasse 111, 8903 Birmensdorf, SwitzerlandFaculty of Forestry and Wood Sciences, Department of Forest Ecology, Czech University of Life Sciences Prague, Prague, Czech RepublicDepartment of Environmental Systems Science, Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland different species mixtures on growth
The largest reduction in uncertainty for all species was for parameters associated with biomass partitioning, root or foliage litterfall and light-use efficiency, while the lowest reduction in uncertainty was for parameters defining the responses to vapour pressure deficit, temperature or CO2 (CoeffCond, Tmax, fCg700) and the canopy interception of precipitation (MaxIntcptn)

Summary

Introduction

Policy makers and scientists often use models to estimate forest biomass or wood production, carbon budgets, and the impacts of climate change, management, or Communicated by Rüdiger Grote. Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zuercherstrasse 111, 8903 Birmensdorf, Switzerland. Faculty of Forestry and Wood Sciences, Department of Forest Ecology, Czech University of Life Sciences Prague, Prague, Czech Republic Process-based models, or models with some process-based components, have been developed to overcome this limitation by simulating the European Journal of Forest Research (2021) 140:847–868 physiological processes that influence growth and how these processes are influenced by the environment

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