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

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Shivesh Kishore Karan , Lorie Hamelin


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. Confronted with limited resources for extensive field measurement campaigns, there are also limited discussions on the best practices towards a harmonized methodology to derive spatially explicit estimates of forestry residues. In this study, we bridge this gap by developing a generic framework “CamBEE”, for a transparent estimation of above-ground primary forestry residues, with a quantification of the uncertainty of the generated estimates. CamBEE is a four-step procedure relying on open access spatial data. Our framework further provides insights on the appropriate spatial resolution to select. Here, we detail this method and provide an example of its application through a case study for France. 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), which deviates of only 32% (32 – 78 %) from the available statistically-based estimates.



Education, Engineering, Environmental Monitoring, Environmental Sciences, Life Sciences, Natural Resources and Conservation, Other Environmental Sciences, Physical Sciences and Mathematics, Sustainability


bioeconomy, Spatial quantification, Theoretical potential, Forest Residues, Fossil Carbon Transition, Uncertainty Assessment


Published: 2020-07-08 05:47

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CC BY Attribution 4.0 International

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