Abstract

Abstract. Soil exchange of carbonyl sulfide (COS) is the second largest COS flux in terrestrial ecosystems. A novel application of COS is the separation of gross primary productivity (GPP) from concomitant respiration. This method requires that soil COS exchange is relatively small and can be well quantified. Existing models for soil COS flux have incorporated empirical temperature and moisture functions derived from laboratory experiments but not explicitly resolved diffusion in the soil column. We developed a mechanistic diffusion–reaction model for soil COS exchange that accounts for COS uptake and production, relates source–sink terms to environmental variables, and has an option to enable surface litter layers. We evaluated the model with field data from a wheat field (Southern Great Plains (SGP), OK, USA) and an oak woodland (Stunt Ranch Reserve, CA, USA). The model was able to reproduce all observed features of soil COS exchange such as diurnal variations and sink–source transitions. We found that soil COS uptake is strongly diffusion controlled and limited by low COS concentrations in the soil if there is COS uptake in the litter layer. The model provides novel insights into the balance between soil COS uptake and production: a higher COS production capacity was required despite lower COS emissions during the growing season compared to the post-senescence period at SGP, and unchanged COS uptake capacity despite the dominant role of COS emissions after senescence. Once there is a database of soil COS parameters for key biomes, we expect the model will also be useful to simulate soil COS exchange at regional to global scales.

Highlights

  • Carbonyl sulfide (COS) is an atmospheric trace gas, with average concentration of around 480 pmol mol−1 (Montzka et al, 2007)

  • The aim here is to demonstrate that the model can reproduce the data with the proper settings and, has the potential to be applied at large scales

  • This study presents a mechanistic diffusion–reaction model coupling physics and biogeochemistry to simulate soil COS flux, as well as its evaluation with field data

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Summary

Introduction

Carbonyl sulfide (COS) is an atmospheric trace gas, with average concentration of around 480 pmol mol−1 (Montzka et al, 2007). Plant COS flux measurements can be used to partition net carbon exchange into gross primary productivity (GPP) and respiration using the quantitative relationship between leaf COS and CO2 uptake (Campbell et al, 2008; Asaf et al, 2013). Since the COS flux observed at ecosystem level and above is the sum of plant and soil fluxes, soil COS fluxes must be well quantified for COS-based flux partitioning. For many biomes where soils have active COS reactions, neglecting soil COS flux would result in significant biases of estimated GPP (Whelan et al, 2015). To enable COS-based flux partitioning, at larger scales, a soil diffusion–reaction model is needed to generate estimates of soil COS exchange from soil parameters and environmental variables

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