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Poster De Conférence Année : 2023

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.
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Dates et versions

hal-04241412 , version 1 (13-10-2023)

Identifiants

  • HAL Id : hal-04241412 , version 1

Citer

Jérémy Lamouroux, Caroline Meyer, Sébastien Leblond, Isabelle Albert. Influence of contextual elements on the spatial modelling of atmospheric cadmium accumulated by mosses. Spatial Statistics 2023: Climate and the Environment, Jul 2023, Boulder (Colorado), United States. ⟨hal-04241412⟩
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