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Towards local bioeconomy: A stepwise framework for high-resolution spatial quantification of forestry residues

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  • Karan, S.K.
  • Hamelin, L.

Abstract

In the ambition of a transition from fossil carbon use, forestry residues are attracting considerable attention as a feedstock for the future bioeconomy. However, there is a limited spatially-explicit understanding of their availability. In the present study, this gap has been bridged by developing a generic framework “CamBEE”, for a transparent estimation of aboveground primary forestry residues. CamBEE further includes guidelines, based on standard uncertainty propagation techniques, to quantify the uncertainty of the generated estimates. CamBEE is a four-step procedure relying on open-access spatial data. The framework further provides insights on the appropriate spatial resolution to select. In this study, the proposed framework has been detailed and exemplified through a case study for France. In the case study, primary forestry residues have been spatially quantified at a resolution of 10 m, using spatial and statistical data on forest parameters (net annual increment, factor of basic wood density, biomass expansion factors, etc.). The results for the case study indicate a total theoretical potential of 8.4 Million Mgdry matter year−1 (4.4–13.9 Million Mgdry matter year−1) available in France, the equivalent of 161 PJ year−1. The case study validates that the CamBEE framework can be used for high-resolution spatial quantification of PFRs towards integration in local bioeconomy.

Suggested Citation

  • Karan, S.K. & Hamelin, L., 2020. "Towards local bioeconomy: A stepwise framework for high-resolution spatial quantification of forestry residues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
  • Handle: RePEc:eee:rensus:v:134:y:2020:i:c:s1364032120306389
    DOI: 10.1016/j.rser.2020.110350
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    1. Viana, H. & Cohen, Warren B. & Lopes, D. & Aranha, J., 2010. "Assessment of forest biomass for use as energy. GIS-based analysis of geographical availability and locations of wood-fired power plants in Portugal," Applied Energy, Elsevier, vol. 87(8), pages 2551-2560, August.
    2. Rupert Seidl & Dominik Thom & Markus Kautz & Dario Martin-Benito & Mikko Peltoniemi & Giorgio Vacchiano & Jan Wild & Davide Ascoli & Michal Petr & Juha Honkaniemi & Manfred J. Lexer & Volodymyr Trotsi, 2017. "Forest disturbances under climate change," Nature Climate Change, Nature, vol. 7(6), pages 395-402, June.
    3. Batidzirai, B. & Smeets, E.M.W. & Faaij, A.P.C., 2012. "Harmonising bioenergy resource potentials—Methodological lessons from review of state of the art bioenergy potential assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6598-6630.
    4. Tryggve Persson & Gustaf Egnell, 2018. "Stump harvesting for bioenergy: A review of climatic and environmental impacts in northern Europe and America," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(6), November.
    5. Hamelin, Lorie & Borzęcka, Magdalena & Kozak, Małgorzata & Pudełko, Rafał, 2019. "A spatial approach to bioeconomy: Quantifying the residual biomass potential in the EU-27," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 127-142.
    6. Greggio, Nicolas & Balugani, Enrico & Carlini, Carlotta & Contin, Andrea & Labartino, Nicola & Porcelli, Roberto & Quaranta, Marta & Righi, Serena & Vogli, Luciano & Marazza, Diego, 2019. "Theoretical and unused potential for residual biomasses in the Emilia Romagna Region (Italy) through a revised and portable framework for their categorization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 590-606.
    7. Chen Jun & Yifang Ban & Songnian Li, 2014. "Open access to Earth land-cover map," Nature, Nature, vol. 514(7523), pages 434-434, October.
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    Cited by:

    1. Moaaz Shehab & Kai Moshammer & Meik Franke & Edwin Zondervan, 2023. "Analysis of the Potential of Meeting the EU’s Sustainable Aviation Fuel Targets in 2030 and 2050," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    2. Brassard, P. & Godbout, S. & Hamelin, L., 2021. "Framework for consequential life cycle assessment of pyrolysis biorefineries: A case study for the conversion of primary forestry residues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Hetemäki, L. & D'Amato, D. & Giurca, A. & Hurmekoski, E., 2024. "Synergies and trade-offs in the European forest bioeconomy research: State of the art and the way forward," Forest Policy and Economics, Elsevier, vol. 163(C).

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