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Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model

Authors :
Jarmo Mäkelä
Laura Arppe
Hannu Fritze
Jussi Heinonsalo
Kristiina Karhu
Jari Liski
Markku Oinonen
Petra Straková
Toni Viskari
Ilmatieteen laitos
Finnish Meteorological Institute
Natural Sciences Unit
Finnish Museum of Natural History
Department of Food and Nutrition
Department of Forest Sciences
Department of Microbiology
Forest Ecology and Management
Viikki Plant Science Centre (ViPS)
Jussi Heinonsalo / Principal Investigator
Forest Soil Science and Biogeochemistry
Ecosystem processes (INAR Forest Sciences)
Soils and climate change
Source :
Biogeosciences. 19:4305-4313
Publication Year :
2022
Publisher :
Copernicus GmbH, 2022.

Abstract

Soils account for the largest share of carbon found in terrestrial ecosystems, and their status is of considerable interest for the global carbon cycle budget and atmospheric carbon concentration. The decomposition of soil organic matter depends on environmental conditions and human activities, which raises the question of how permanent are these carbon storages under changing climate. One way to get insight into carbon decomposition processes is to analyse different carbon isotope concentrations in soil organic matter. In this paper we introduce a carbon-13-isotope-specific soil organic matter decomposition add-on into the Yasso soil carbon model and assess its functionality. The new 13C-dedicated decomposition is straightforward to implement and depends linearly on the default Yasso model parameters and the relative carbon isotope (13C/12C) concentration. The model modifications are based on the assumption that the heavier 13C atoms are not as reactive as 12C. The new formulations were calibrated using fractionated C, 13C and δ13 measurements from litterbags containing pine needles and woody material, which were left to decompose in natural environment for 4 years. The introduced model modifications considerably improve the model behaviour in a 100-year-long simulation, where modelled δ13 is compared against fractionated peat column carbon content. The work presented here is a proof of concept and enables 13C to be used as a natural tracer to detect changes in the underlying soil organic matter decomposition.

Details

ISSN :
17264189
Volume :
19
Database :
OpenAIRE
Journal :
Biogeosciences
Accession number :
edsair.doi.dedup.....43abc4b47294a5d678fd76bc54731eee