The dataset is a spatially explicit characterisation factor (CF) for Listeria monocytogenes impact assessment. It results from the research project SANI-TTERR, funded by ADEME (APR GRAINE grant number 2307D0040).

An innovative approach was proposed to include pathogenic impact in Life Cycle Assessment (LCA) through a new impact category, “microbial pathogenic potential”. To demonstrate the feasibility of its calculation, a “proof of concept” was developed for the construction of the characterisation factors (CF) for this new category. The study focuses on a model bacterial pathogen – Listeria monocytogenes – emitted on agricultural soils during application of organic fertilisers in metropolitan France. CF is expressed as the product of three factors: the fate factor (FF), the exposure factor (XF), and the effect factor (EF). FF was spatially explained in the native resolution of the agricultural plot and based on a fuzzy logic approach. Two distinct models were developed to introduce the impact of soil conditions (FFB) and the physical characteristics of agricultural plots (FFP) on the persistence and survival of the pathogen after landspreading. Data from the INCA3 survey on the French dietary habits were collected to calculate XF. Only one category of food potentially contaminated was considered: cheese. XF is therefore the share of cheese in the daily diet of French people. EF is calculated based on the probability of developing diseases for vulnerable populations.

The CF equation is: CF [L.monocytogenes] = (FFP × FFB ) × (BE × DFI) × (PDL × DALY) Where CF [L.monocytogenes] is the characterisation factor, FFP the fate related to physical properties, FFB the fate related to biogeochemical properties, BE the basic exposure, DFI the daily food intake, PDL the probability of developing invasive listeriosis and DALY as disability-adjusted life years.

The CF is calculated at the scale of agricultural parcels provided by the RPG (RPG Explorer 2015-2021) and aggregated at a regular grid of 10×10km. The dataset is published in OGC GeoPackage format and in Lambert 93 (EPSG:2154).

Dataset fields: - id (Integer): grid id - wa_ffp (float): physical characteristics of agricultural plots (weighted average of agricultural plot values) - wa_ffb (float): soil conditions (weighted average of agricultural plot values) - wa_ff (float): Fate factor (weighted average of agricultural plot values) - xf (float): exposure factor (XF), and the effect facto - ef (float): effect factor - cf (float): characterisation factor

R, 4.1

Julia, 1.10

PostgreSQL / PostGIS, 16 / 3.5