Data for: Antecedent soil moisture and rain intensity control pathways and quality of organic carbon exports from arable land

Published: 23 March 2021| Version 1 | DOI: 10.17632/b5t87xt8jt.1
Contributor:
Alexandra Tiefenbacher

Description

This dataset belongs to the original research paper with the title: "Antecedent soil moisture and rain intensity control pathways and quality of organic carbon exports from arable land" Short absract: Storm events and droughts are expected to modify the hydrological connectivity of soils, thus potentially impacts the pathways and processes of soil organic carbon exports. But, knowledge on how extreme weather conditions modify soil organic carbon exports are still limited. Closing this knowledge gap further, we conducted rainfall simulation experiments to analyse the interactive effects of rainfall intensity and antecedent soil moisture on dissolved (DOC) and particulate organic carbon (POC) exports (timing and amount) via surface and subsurface runoff. For assessing the subsurface runoff, an innovative sampling approach was indispensable. Highlights: We discovered that in the surface runoff POC exports are mainly controlled by antecedent soil moisture, while rainfall intensity is primarily responsible for DOC losses. Furthermore, POC losses dominated the surface runoff, the proportion of DOC increases in the subsurface runoff. In the subsurface runoff, surface sealing of unsaturated soil rained with the high intensity had a concentrating effect on DOC, which could be seen in concentration and composition. If you need detailed information about sampling and data processing, please read the materials and methods section of this manuscript.

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Categories

Drought Associated with Global Change, Dissolved Organic Matter, Dissolved Organic Carbon, Subsurface Flow, Stormwater Runoff, Surface Runoff

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