Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for d
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ORIGINAL PAPER
Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti1,2
•
F. H. M. Tang2 • F. Maggi2
Accepted: 28 August 2020 Ó Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The biogeochemical complexity of environmental models is increasing continuously and model reliability must be reanalysed when new implementations are brought about. This work aims to identify influential biogeochemical parameters that control the Soil Organic Matter (SOM) dynamics and greenhouse gas emissions in different ecosystems and climates predicted by a physically-based mechanistic model. This explicitly accounts for four pools of organic polymers, seven pools of organic monomers, five microbial functional groups, and inorganic N and C species. We first benchmarked our model against vertical SOM profiles measured in a temperate forest in North-Eastern Bavaria, Germany (Staudt and Foken in Documentation of reference data for the experimental areas of the Bayreuth Centre for Ecology and Environmental Research (BayCEER) at the Waldstein site. Univ, Bayreuth, Department of Micrometeorology, 2007). Next, we conducted a sensitivity analysis to biogeochemical parameters using modified Morris indices for target SOM pools and gas emissions from a tropical, a temperate, and a semi-arid grassland in Australia. We found that greenhouse gas emissions, the SOM stock, and the fungi-to-bacteria ratio in the top soil were more sensitive to the mortality of aerobic bacteria than other biogeochemical parameters. The larger CO2 emission rates in forests than in grasslands were explained by a greater dissolved SOM content. Finally, we found that the soil N availability was largely controlled by vegetation inputs in forests and by atmospheric fixation in grasslands. Keywords Sensitivity analysis Soil organic matter Bacterial mortality Environmental model Grassland Forest Abbreviations AER Aerobic bacteria AmA Amino-acids AmS Amino-sugar
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00477-020-01868-z) contains supplementary material, which is available to authorized users. & G. Ceriotti [email protected] & F. Maggi [email protected] 1
Institute of Earth Sciences, Building Geopolis, University of Lausanne, Lausanne, Switzerland
2
Laboratory for Environmental Engineering, School of Civil Engineering, The University of Sydney, Bld. J05, Sydney, NSW 2006, Australia
AOB BAMS2 C Cls DEN F GSA HCls Lig Lip LSA Msa N NOB Nti OAT OraA Pgl Phe
Ammonia oxidizing bacteria Biotic and abiotic model of SOM version 2 Carbon Celulose Denitrifying bacteria Fungi Global sensitivity analysis Hemi-celulose Lignin Lipids Local sensitivity analysis Monosaccarides Nitrogen Nitrite oxidizing bacteria Nucleotid One-factor at time method Organic acid Peptidoglycan Phenols
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Stochastic Environmental Research and Risk Assessment
SAG SOM TEF TEG TRG
Semi-ar
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