Articles | Volume 21, issue 22
https://doi.org/10.5194/bg-21-5005-2024
https://doi.org/10.5194/bg-21-5005-2024
Research article
 | Highlight paper
 | 
14 Nov 2024
Research article | Highlight paper |  | 14 Nov 2024

How to measure the efficiency of bioenergy crops compared to forestation

Sabine Egerer, Stefanie Falk, Dorothea Mayer, Tobias Nützel, Wolfgang A. Obermeier, and Julia Pongratz

Data sets

ISIMIP3b bias-adjusted atmospheric climate input data S. Lange and M. Büchner https://doi.org/10.48364/ISIMIP.842396.1

A global yield dataset for major lignocellulosic bioenergy crops based on field measurements W. Li et al. https://doi.org/10.6084/m9.figshare.c.3951967

Model code and software

Scripts to publication 'How to measure the efficiency of bioenergy crops compared to forestation' S. Egerer https://doi.org/10.5281/zenodo.13355458

Download
Co-editor-in-chief
The use of carbon dioxide removal (CDR) techniques is essential to achieving the objectives of the Paris agreements. In order to achieve this, it is necessary to introduce negative emission technologies as soon as possible. Among these technologies, CDRs, and more particularly CDRs applied to land surfaces, seem to be good candidates. However, until now, the methodologies used to estimate the efficiency of CDRs have taken very little account of certain parameters such as the turnover time of biomass products. This article proposes an innovative methodology for this purpose and applies it to estimate the storage potential of various CDRs. Results suggest, for example, that afforestation/reforestation (AR) appears to be more effective in China, while bioenergy with carbon capture and storage (BECCS) is more effective in South America and Africa. Nevertheless, the authors also highlight the importance of considering the evolution of the efficiency of fossil fuel substitution (FFS) techniques in parallel to refine the estimate of the potential of CDRs, thus stressing the complexity of such a task.
Short summary
Using a state-of-the-art land model, we find that bioenergy plants can store carbon more efficiently than forests over long periods in the soil, in geological reservoirs, or by substituting fossil-fuel-based energy. Planting forests is more suitable for reaching climate targets by 2050. The carbon removal potential depends also on local environmental conditions. These considerations have important implications for climate policy, spatial planning, nature conservation, and agriculture.
Altmetrics
Final-revised paper
Preprint