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 Mg-dry matter year(-1) (4.4-13.9 Million Mg-dry 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.

Keywords

Bioeconomy; Forest residues; Fossil carbon transition; Spatial quantification; Theoretical potential; Uncertainty assessment

Published in

Renewable and Sustainable Energy Reviews
2020, Volume: 134, article number: 110350
ISBN: 18790690 13640321

UKÄ Subject classification

Forest Science


Publication identifier

DOI: https://doi.org/10.1016/j.rser.2020.110350

Permanent link to this page (URI)

https://res.slu.se/id/publ/114846