Abstract
There is a lack of reliable information regarding the European vegetation's current elemental composition and the factors that affect it. We investigate 183928 georeferenced records on woody plant's foliar concentrations of Calcium (Ca) Magnesium (Mg), and Sulfur (S) from published databases, which allow us to create European maps of foliar Ca, Mg, and S foliar concentrations using machine learning at a resolution of 1 km^2 for woody plants.
We aim to understand the relationship of ecological processes particularly nutrient cycling in the complex ecosystem analysis. For this, we develop a statistical predictive model of foliar concentration of Ca, Mg, and S.
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