Influence of contextual elements on the spatial modelling of atmospheric cadmium accumulated by mosses
Résumé
Since the 1960s, terrestrial mosses have been used for monitoring studies of trace element deposits. The BRAMM network monitors these elements in rural areas, under tree cover, using
monospecific moss samples evenly spread across the territory. Investigating metal accumulation in mosses with contextual elements provides valuable insights for policymakers.
This study focuses on regional cadmium (observed cd ϵ [0.03;1.16] μg/g) deposition and the production of spatial distribution maps. We compare cd accumulation with several contextual elements in
445 French forested sites separated according to bioclimatic zones. Contextual elements used are the concentration of the cd in the atmosphere and cd deposition modelled by EMEP, type of moss
sampling, type of forest cover, distance to road, and land use defined by Corine Land Cover. This gives us a total of 30 covariates.
We use linear models if no spatial effects are present in the area. Otherwise, we use kriging models or enhance the linear model by incorporating a spatial random effect using the Stochastic Partial
Differential Equations (SPDE) method, which considers spatial correlation. Our results show that the significant contextual elements differ according to the bioclimatic zones. The principal objective is
to produce spatial models in which the coefficients linking moss concentration and contextual elements will be calculated according to defined geographical areas.
Domaines
Statistiques [stat]Origine | Fichiers produits par l'(les) auteur(s) |
---|