data and code for: Dynamics of deep soil carbon - insights from 14C time series across a climatic gradient

Published: 19 August 2019| Version 2 | DOI: 10.17632/bgpmxwmyby.2
Tessa Sophia van der Voort


This is the data and code repository accompanying the paper: Dynamics of deep soil carbon - insights from 14C time series across a climatic gradient, published in Biogeosciences in 2019. The excel file contains all the data of the paper, i.e. the time series data for top and deep soils for the bulk and microbial pool across a climatic gradient . Furthermore, we also made the MatLab codes available which can be used to determine turnover time for 14C time-series, with a 1-pool and 2-pool option. Paper abstract: Quantitative constraints on soil organic matter (SOM) dynamics are essential for comprehensive understanding of the terrestrial carbon cycle. Deep soil carbon is of particular interest, as it represents large stocks and its turnover times remain highly uncertain. In this study, SOM dynamics in both the top and deep soil across a climatic (average temperature ~1-9 °C) gradient are determined using time-series (~20 years) 14C data from bulk soil and water-extractable organic carbon (WEOC). Analytical measurements reveal enrichment of bomb-derived radiocarbon in the deep soil layers on the bulk level during the last two decades. The WEOC pool is strongly enriched in bomb-derived carbon, indicating that it is a dynamic pool. Turnover time estimates of both the bulk and WEOC pool show that the latter cycles up to a magnitude faster than the former. The presence of bomb-derived carbon in the deep soil, as well as the rapidly turning WEOC pool across the climatic gradient implies that there likely is a dynamic component of carbon in the deep soil. Precipitation and bedrock type appear to exert a stronger influence on soil C turnover time and stocks as compared to temperature.



Earth Sciences, Soil Science, Radiocarbon Dating, Modeling in Soil Science