Datum
2022-05-25Schlagwort
540 Chemie 550 Geowissenschaften 570 Biowissenschaften, Biologie DeutschlandSchwermetallKupferGemischtes ModellValidierungBodenchemieBodenprofilMetadata
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Aufsatz
Application of mixed-effects modelling and rule-based models to explain copper variation in soil profiles of southern Germany
Zusammenfassung
Copper (Cu) is an essential element for plants and microorganisms and at larger concentrations a toxic pollutant. A number of factors controlling Cu dynamics have been reported, but information on quantitative relationships is scarce. We aimed to (i) quantitatively describe and predict soil Cu concentrations (CuAR) in aqua regia considering site-specific effects and effects of pH, soil organic carbon (SOC) and cation exchange capacity (CEC), and (ii) study the suitability of mixed-effects modelling and rule-based models for the analysis of long-term soil monitoring data. Thirteen uncontaminated long-term monitoring soil profiles in southern Germany were analysed. Since there was no measurable trend of increasing CuAR concentrations with time in the respective depth ranges of the sites, data from different sampling dates were combined and horizon-specific regression analyses including model simplifications were carried out for 10 horizons. Fixed- and mixed-effects models with the site as a random effect were useful for the different horizons and significant contributions (either of main effects or interactions) of SOC, CEC and pH were present for 9, 8 and 7 horizons, respectively. Horizon-specific rule-based cubist models described the CuAR data similarly well. Validations of cubist models and mixed-effects models for the CuAR concentrations in A horizons were successful for the given population after random splitting into calibration and validation samples, but not after independent validations with random splitting according to sites. Overall, site, CEC, SOC and pH provide important information for a description of CuAR concentrations using the different regression approaches.
Highlights
- Information on quantitative relationships for factors controlling Cu dynamics is scarce
- Site, CEC, SOC and pH provide important information for a description of Cu concentrations
- Validations of cubist models and mixed-effects models for A horizons were successful for a closed population of sites
Highlights
- Information on quantitative relationships for factors controlling Cu dynamics is scarce
- Site, CEC, SOC and pH provide important information for a description of Cu concentrations
- Validations of cubist models and mixed-effects models for A horizons were successful for a closed population of sites
Zitierform
In: European Journal of Soil Science (EJSS) Volume 73 / Issue 3 (2022-05-25) eissn:1365-2389Förderhinweis
Gefördert im Rahmen des Projekts DEALZitieren
@article{doi:10.17170/kobra-202206246403,
author={Ludwig, Bernard and Wölfel, Petra and Greenberg, Isabel and Piepho, Hans-Peter and Spörlein, Peter},
title={Application of mixed-effects modelling and rule-based models to explain copper variation in soil profiles of southern Germany},
journal={European Journal of Soil Science (EJSS)},
year={2022}
}
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2022-09-01T11:16:48Z 2022-09-01T11:16:48Z 2022-05-25 doi:10.17170/kobra-202206246403 http://hdl.handle.net/123456789/14126 Gefördert im Rahmen des Projekts DEAL eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ heavy metals independent validation mixes-effects models pseudo-independent validation rule-based cubist models soil monitoring 540 550 570 Application of mixed-effects modelling and rule-based models to explain copper variation in soil profiles of southern Germany Aufsatz Copper (Cu) is an essential element for plants and microorganisms and at larger concentrations a toxic pollutant. A number of factors controlling Cu dynamics have been reported, but information on quantitative relationships is scarce. We aimed to (i) quantitatively describe and predict soil Cu concentrations (CuAR) in aqua regia considering site-specific effects and effects of pH, soil organic carbon (SOC) and cation exchange capacity (CEC), and (ii) study the suitability of mixed-effects modelling and rule-based models for the analysis of long-term soil monitoring data. Thirteen uncontaminated long-term monitoring soil profiles in southern Germany were analysed. Since there was no measurable trend of increasing CuAR concentrations with time in the respective depth ranges of the sites, data from different sampling dates were combined and horizon-specific regression analyses including model simplifications were carried out for 10 horizons. Fixed- and mixed-effects models with the site as a random effect were useful for the different horizons and significant contributions (either of main effects or interactions) of SOC, CEC and pH were present for 9, 8 and 7 horizons, respectively. Horizon-specific rule-based cubist models described the CuAR data similarly well. Validations of cubist models and mixed-effects models for the CuAR concentrations in A horizons were successful for the given population after random splitting into calibration and validation samples, but not after independent validations with random splitting according to sites. Overall, site, CEC, SOC and pH provide important information for a description of CuAR concentrations using the different regression approaches. Highlights - Information on quantitative relationships for factors controlling Cu dynamics is scarce - Site, CEC, SOC and pH provide important information for a description of Cu concentrations - Validations of cubist models and mixed-effects models for A horizons were successful for a closed population of sites open access Ludwig, Bernard Wölfel, Petra Greenberg, Isabel Piepho, Hans-Peter Spörlein, Peter doi:10.1111/ejss.13258 Deutschland Schwermetall Kupfer Gemischtes Modell Validierung Bodenchemie Bodenprofil publishedVersion eissn:1365-2389 Issue 3 European Journal of Soil Science (EJSS) Volume 73 false e13258
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