Contribution of sorption, DOC transport and microbial interactions to the 14C age of a soil organic carbon profile: Insights from a calibrated process model

2015 ◽  
Vol 88 ◽  
pp. 390-402 ◽  
Author(s):  
Bernhard Ahrens ◽  
Maarten C. Braakhekke ◽  
Georg Guggenberger ◽  
Marion Schrumpf ◽  
Markus Reichstein
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Process Model ◽  
Microbial Interactions ◽  
Carbon Profile ◽  
14C Age

scholarly journals Modelling soil organic carbon changes on arable land under climate change – a case study analysis of the Kočín farm in Slovakia

2011 ◽  
Vol 6 (No. 1) ◽  
pp. 30-42 ◽  
Author(s):  
J. Balkovič ◽  
E. Schmid ◽  
R. Skalský ◽  
M. Nováková
Keyword(s):  
Climate Change ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Crop Rotation ◽  
Process Model ◽  
Crop Yields ◽  
Arable Land ◽  
Carbon Stocks ◽  
Climate Change Scenarios ◽  
Climate Scenarios

We have estimated soil organic carbon and crop yield changes under distinct climate change scenarios for the Kočín farm in Slovakia. Two regional climate change scenarios, i.e. the A2 and B2 SRES emission scenarios, and a reference climate scenario have been included into the bio-physical process model EPIC to simulate the effects on the topsoil organic carbon stocks and crop yields for the period of 2010–2050. In addition, we have used the data from several fields of the Kočín farm including the soil data, crop rotational and management data as well as topographical data. The topsoil organic carbon stocks show a decreasing trend for the period of 2010–2050. Among all crop rotation systems and soil profiles, the losses over the period are 9.0%, 9.5%, and 10.7% for the reference, A2, and B2 climate scenarios, respectively. Increasing temperatures accelerate the decomposition of the soil organic carbon particularly when soils are intensively managed. The soil organic carbon changes are crop-rotation specific, which is partly due to the climate scenarios that affect the crop biomass production differently. This is shown by comparison of the crop yields. We conclude that EPIC is capable to reliably simulate effects of climate change on soil organic carbon and crop yields.

Estimation of soil organic carbon based on remote sensing and process model

2008 ◽  
Vol 3 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Tao Zhou ◽  
Peijun Shi ◽  
Jinying Luo ◽  
Zhenyan Shao
Keyword(s):  
Remote Sensing ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Process Model ◽  
Carbon Based

Quantity, 14C age and lability of desorbed soil organic carbon in fresh water and seawater

2007 ◽  
Vol 38 (9) ◽  
pp. 1547-1557 ◽  
Author(s):  
David Butman ◽  
Peter Raymond ◽  
Neung-Hwan Oh ◽  
Kari Mull
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Fresh Water ◽  
14C Age
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