Emerging investigator series: predicted losses of sulfur and selenium in european soils using machine learning: a call for prudent model interrogation and selection

Author:

Jones Gerrad D.1ORCID,Insinga Logan1,Droz Boris123ORCID,Feinberg Aryeh4ORCID,Stenke Andrea56,Smith Jo7,Smith Pete7,Winkel Lenny H. E.56

Affiliation:

1. Department of Biological & Ecological Engineering, Oregon State University, Corvallis, Oregon, 97331, USA

2. School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland

3. Water and Environment Research Group, Environmental Research Institute, University College Cork, Lee Road, Cork, Ireland

4. Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

5. Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland

6. Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland

7. Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK

Abstract

Changes in soil organic carbon, evapotranspiration, and S and Se atmospheric deposition are predicted to decrease S and Se concentrations in Europe soils.

Funder

Oregon State University

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz

Publisher

Royal Society of Chemistry (RSC)

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