Article open access publication

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

Annals of Forest Science, Springer Nature, ISSN 1286-4560

Volume 73, 4, 2016

DOI:10.1007/s13595-016-0564-3, Dimensions: pub.1014970264,

Affiliations

Organisations

  1. (1) University of Lisbon, grid.9983.b
  2. (2) Wageningen University & Research, grid.4818.5
  3. (3) Baden-Württemberg Forest Research Institute, Freiburg, Germany
  4. (4) Norwegian Institute of Bioeconomy Research, grid.454322.6
  5. (5) Institut Géographique National, grid.424645.5
  6. (6) Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, grid.419190.4
  7. (7) Technical University of Madrid, grid.5690.a
  8. (8) National Forest Inventory Department, Forest Research and Management Institute, Voluntari, Romania
  9. (9) Forest Research Institute, grid.475913.d
  10. (10) Swiss Federal Institute for Forest, Snow and Landscape Research, grid.419754.a
  11. (11) Agricultural Research Council, grid.423616.4
  12. (12) Austrian Research Centre for Forests, grid.425121.1
  13. (13) Icelandic Forest Research, Reykjavík, Iceland
  14. (14) National Food Chain Safety Office, grid.432859.1
  15. (15) Forest Management Institute Brandys nad Labem, Brandys nad Labem, Czech Republic
  16. (16) Swedish University of Agricultural Sciences, grid.6341.0
  17. (17) Aleksandras Stulginskis University, grid.198123.0
  18. (18) University of Copenhagen, grid.5254.6, KU
  19. (19) Natural Resources Institute Finland, grid.22642.30
  20. (20) Department of Agriculture Food and the Marine, grid.433528.b
  21. (21) University of Florence, grid.8404.8
  22. (22) Estonian University of Life Sciences, grid.16697.3f
  23. (23) University of Forestry, grid.21510.37

Description

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.

Funders

Research Categories

Main Subject Area

Sustainable Development Goals

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University of Copenhagen

Danish Open Access Indicator

2016: Unused

Research area: Science & Technology

Danish Bibliometrics Indicator

2016: Level 1

Research area: Science & Technology

Dimensions Citation Indicators

Times Cited: 27

Field Citation Ratio (FCR): 7.81

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