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Review article - Peer-reviewed, 2016

Overview of methods and tools for evaluating future woody biomass availability in European countries

Barreiro, Susana; Schelhaas, Mart-Jan; Kaendler, Gerald; Antón-Fernández, Clara; Colin, Antoine; Bontemps, Jean-Daniel; Alberdi, Iciar; Condés, Sonia; Dumitru, Marius; Ferezliev, Angel; Fischer, Christoph; Gasparini, Patrizia; Gschwanter, Thomas; Kindermann, Georg; Kjartansson, Bjarki; Kovacsevic, Pál; Kucera, Milos; Lundström, Anders; Marin, Gheorghe; Mozgeris, Gintautas;
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This analysis of the tools and methods currently in use for reporting woody biomass availability in 21 European countries has shown that most countries use, or are developing, National Forest Inventory-oriented models whereas the others use standwise forest inventory--oriented methods.Knowledge of realistic and sustainable wood availability in Europe is highly relevant to define climate change mitigation strategies at national and European level, to support the development of realistic targets for increased use of renewable energy sources and of industry wood. Future scenarios at European level highlight a deficit of domestic wood supply compared to wood consumption, and some European countries state they are harvesting above the increment.Several country-level studies on wood availability have been performed for international reporting. However, it remains essential to improve the knowledge on the projection methods used across Europe to better evaluate forecasts.Analysis was based on descriptions supplied by the national correspondentsinvolved in USEWOOD COST Action (FP1001), and further enriched with additionaldata from international reports that allowedcharacterisation of the forests in these countries for the same base year.Methods currently used for projecting wood availability were described for 21 European countries. Projection systems based on National Forest Inventory (NFI) data prevail over methods based on forest management plans. Only a few countries lack nationwide projection tools, still using tools developed for specific areas.A wide range of NFI-based systems for projecting wood availability exists, being under permanent improvement. The validation of projection forecasts and the inclusion of climate sensitive growth models into these tools are common aims for most countries. Cooperation among countries would result in higher efficiency when developing and improving projection tools and better comparability among them.


European countries; Projection methods; Woody biomass availability; Forest simulators; Forest models

Published in

Annals of Forest Science
2016, volume: 73, number: 4, pages: 823-837

Authors' information

Barreiro, Susana
University of Lisbon
Schelhaas, Mart-Jan
Alterra, Wageningen UR
Kaendler, Gerald
Forest Research Institute of Baden-Württemberg (FVA)
Antón-Fernández, Clara
Norwegian Institute of Bioeconomy Research (NIBIO)
Colin, Antoine
Institut national de l’information géographique et forestière (IGN)
Bontemps, Jean-Daniel
Institut national de l’information géographique et forestière (IGN)
Alberdi, Iciar
Condés, Sonia
Technical University of Madrid (UPM)
Dumitru, Marius
Forest Research and Management Institute of Romania
Ferezliev, Angel
Forest Research Institute
Fischer, Christoph
Swiss Federal Research Institute WSL
Gasparini, Patrizia
The National Council for Agricultural Research (CRA)
Gschwanter, Thomas
Federal Research and Training Centre for Forests, Natural Hazards and Landscape
Kindermann, Georg
Federal Research and Training Centre for Forests, Natural Hazards and Landscape
Kjartansson, Bjarki
Icelandic Forest Research
Kovacsevic, Pál
National Food Chain Safety Office (NFCSO)
Kucera, Milos
Forest management Institute Brandys nad Labem
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Marin, Gheorghe
Forest Research and Management Institute of Romania
Mozgeris, Gintautas
Aleksandras Stulginskis University
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Associated SLU-program


Sustainable Development Goals

SDG7 Affordable and clean energy
SDG13 Climate action

UKÄ Subject classification

Forest Science

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