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Storing carbon in French agricultural soils: potential and cost of additionnal storage

Bamiere L., Pellerin S., Bellassen V., Constantin J., Cardinael R., Ceschia E., Delame N., Graux A.I., Houot S., Klumpp K., Launay C., Letort E., Martin R., Meziere D., Mosnier C., Roger-Estrade J., Réchauchère O., Schiavo M., Thérond O.. 2021. Prague : EAAE, 2 p.. Congress of the European Association of Agricultural Economists (EAAE 2021). 16, 2021-07-20/2021-07-23, Prague (Tchèque, République).

Following the Paris agreement (COP21), France set a carbon neutrality objective by 2050. Given its contribution to national GHG emissions (20%), the French agricultural sector is expected to play its part in achieving this ambitious target. It can act on three levers: N2O and CH4 emissions reduction, renewable energy production, and carbon storage in biomass and soil, the latter being less studied. The recent controversy on the 4 per 1000 initiative has also emphasized the need for a quantitative assessment of the potential for and cost of additional C storage in agricultural soils at the national level. Eight carbon storing practices were identified based on a literature review: expansion of cover crops; mobilization of new C inputs (not already spread on agricultural soils under current management practices); expansion of temporary grasslands (instead of silage maize); agroforestry; hedges; moderate intensification of extensive grasslands (+50kgN/ha); animal grazing instead of mowing and grass cover of vineyard. We assessed and mapped their potential for additional carbon storage in soils at a very fine spatial scale (1 km2), using a crop model (STICS) and a grassland model (PASIM). The additional C storage was calculated as the difference between the simulated soil C stock under i) the C storing practices and ii) the current management practices (i.e. the baseline), after a 30 years period. Using public statistics, we then assessed for each C storing practice: its potential applicability, its implementation cost, and its efficiency at the regional level. Using an economic model (BANCO), we finally compute the cost-effective allocation of the additional carbon storage effort, i.e. the uptake level of each storing practice in each region that minimizes the total cost of achieving a given total additional C storage target in mainland France. By varying this national storage target, we are able to depict a marginal carbon storage cost curve. Our results show a potent

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