Autor: |
El Akkari M; INRA, DEPE, 147 rue de l'université, 75338, Paris Cedex 07, France. monia.el-akkari@inra.fr.; UMR Ecosys, INRA, AgroParisTech, Université Paris-Saclay, 78850, Thiverval-Grignon, France. monia.el-akkari@inra.fr., Réchauchère O; INRA, DEPE, 147 rue de l'université, 75338, Paris Cedex 07, France., Bispo A; ADEME, Direction Productions et Energies Durables - Service Agriculture et Forêt, 20, Avenue du Grésillé BP 90406 49004, Angers Cedex 01, France.; INRA, InfoSol, 2163, avenue de la Pomme de Pin, 45075 ORLEANS, cedex 2, France., Gabrielle B; UMR Ecosys, INRA, AgroParisTech, Université Paris-Saclay, 78850, Thiverval-Grignon, France., Makowski D; INRA, UMR 211 Agronomie, INRA, AgroParisTech, Université Paris-Saclay, 78850, Thiverval-Grignon, France. |
Abstrakt: |
Non-food biomass production is developing rapidly to fuel the bioenergy sector and substitute dwindling fossil resources, which is likely to impact land-use patterns worldwide. Recent publications attempting to factor this effect into the climate mitigation potential of bioenergy chains have come to widely variable conclusions depending on their scope, data sources or methodology. Here, we conducted a first of its kind, systematic review of scientific literature on this topic and derived quantitative trends through a meta-analysis. We showed that second-generation biofuels and bioelectricity have a larger greenhouse gas (GHG) abatement potential than first generation biofuels, and stand the best chances (with a 80 to 90% probability range) of achieving a 50% reduction compared to fossil fuels. Conversely, directly converting forest ecosystems to produce bioenergy feedstock appeared as the worst-case scenario, systematically leading to negative GHG savings. On the other hand, converting grassland appeared to be a better option and entailed a 60% chance of halving GHG emissions compared to fossil energy sources. Since most climate mitigation scenarios assume still larger savings, it is critical to gain better insight into land-use change effects to provide a more realistic estimate of the mitigation potential associated with bioenergy. |