Impacts of changing coniferous and non-coniferous wood supply on forest product markets: a German scenario case study

  • Franziska Schier
  • Christian Morland
  • Niels Janzen
  • Holger Weimar
Review
  • 19 Downloads

Abstract

Management strategies which encourage the conversion of coniferous forests to mixed and deciduous stands potentially increase the share of non-coniferous timber in wood supply over the next decades. The objective of this study is to examine possible market impacts from changing wood supply modeled in the German Forest Development and Timber Volume Model (WEHAM) Scenario. Special emphasis is paid to decreasing coniferous timber availability and the ramifications this development might have on the wood-based industry in Germany. For this purpose, our study introduces the GFPMCNC, a modified version of the Global Forest Products Model (GFPM) which distinguishes coniferous and non-coniferous industrial roundwood as different raw materials and coniferous and non-coniferous sawnwood as additional products on global level. In the GFPMCNC, wood-based panels and pulp could be made from a mix of two roundwood commodities instead of one single input factor. The base period for this study is 2012. Results are reported by 2015 and in the following in mid-period intervals at 5-year steps until 2050. The WEHAM Scenario impact analysis reveals that limited coniferous raw materials lead to lower wood manufacturing activities and declining exports of coniferous sawnwood at the same time as German imports of coniferous industrial roundwood and wood pulp increase over time.

Keywords

Forest sector modeling Forest product markets Model calibration Spatial price equilibrium model Scenario impact analysis 

Notes

Acknowledgements

The authors express their appreciation to Matthias Dieter for providing valuable comments; to Hermann Englert and Nils Ermisch for technical and methodological advice regarding the NFI (German National Forest Inventory (NFI)) and WEHAM (German Forest Development and Timber Volume Modeling) data; to Dominik Jochem for supplying updated data on wood removals in Germany; to Przemko Döring, Kristin Gerber, Sebastian Glasenapp, Susan Klatt, Udo Mantau and Katja Öhmichen for their collaboration in scenario data handling. The authors would like to thank two anonymous reviewers for their very valuable comments.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Thuenen Institute of International Forestry and Forest EconomicsHamburgGermany

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