Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands
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Riggers C, Poeplau C, Don A, Bamminger C, Höper H, Dechow R (2019) Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands. Geoderma 345:17-30, DOI:10.1016/j.geoderma.2019.03.014
Changes in the Rock-Eval signature of soil organic carbon upon extreme soil warming and chemical oxidation - A comparison
Literatur
Poeplau C, Barré P, Cecillon L, Baudin F, Sigurdsson BD (2019) Changes in the Rock-Eval signature of soil organic carbon upon extreme soil warming and chemical oxidation - A comparison. Geoderma 337:181-190, DOI:10.1016/j.geoderma.2018.09.025
Evaluation of the RothC model as a prognostic tool for the prediction of SOC trends in response to management practices on arable land
Literatur
Dechow R, Franko U, Kätterer T, Kolbe H (2019) Evaluation of the RothC model as a prognostic tool for the prediction of SOC trends in response to management practices on arable land. Geoderma 337:463-478, DOI:10.1016/j.geoderma.2018.10.001
Near infrared spectroscopy as an easy and precise method to estimate soil texture
Literatur
Jaconi A, Vos C, Don A (2019) Near infrared spectroscopy as an easy and precise method to estimate soil texture. Geoderma 337:906-913, DOI:10.1016/j.geoderma.2018.10.038
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Säurich A, Tiemeyer B, Don A, Fiedler S, Bechtold M, Amelung W, Freibauer A (2019) Drained organic soils under agriculture - the more degraded the soil the higher the specific basal respiration. Geoderma 355:113911, DOI:10.1016/j.geoderma.2019.113911
