Dataset

Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state

Current efforts to enhance the agroecosystems carbon (C) sink function for climate mitigation faced challenges, particularly with traditional measures having limited suitability for increasing soil organic carbon (SOC) stocks. One way out of this dilemma could be to create an additional stable soil C sink by inducing SOC under saturation in the topsoil. In the past, attempts were made by abrupt topsoil dilution through subsoil admixture by means of deep tillage but with varying degrees of success. This was partly due to a lack of knowledge about the impact of soil condition like erosion state and N fertilization form ensuring optimum C input into the soil on the desired additional SOC accumulation and partly due to the lack of suitable experimental approaches to record the effect of all relevant factors simultaneously. To help solve these problems, a three-factorial experimental field trial were established: I.) "moderate topsoil dilution" (diluted vs non-diluted), II.) "N fertilization form" (mineral, i.e., calcium ammonium nitrate and urea vs organic, i.e., digestate) and III.) "soil types" (Calcic Luvisol, Nudiargic Luvisol, and Calcaric Regosol) covering the typical range of erosion states in the hummocky ground moraine landscape of NE Germany. This datasets contains weather data, NDVI/RVI measurements data , soil texture data, soil and plant analysis data, CO2 flux obtained using a novel robotic chamber system that were conducted from 23.07.2020 (after manipulation) - 29.06.2021 (Harvest). This table contains the index of all tables forming this data collection. Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.0

Contacts

Leibniz Centre for Agricultural Landscape Research
Role: publisher
Position: Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management
Phone: +49 33432 82 300
Email: dataservice@zalf.de
Deliverypoint: Eberswalder Strasse 84
City: Müncheberg
Administrativearea: Brandenburg
Postalcode: 15374
Country: Germany
Url:
Shrijana Vaidya
Role: author
Email: vaidyashriju@gmail.com
Url:
Mathias Hoffmann
Role: author
Email: mathias.hoffmann@zalf.de
Url:
Maren Dubbert
Role: author
Email: maren.dubbert@zalf.de
Url:
Katja Kramp
Role: author
Email: katja.kramp@zalf.de
Url:
Marten Schmidt
Role: author
Email: marten.schmidt@zalf.de
Url:
Gernot Verch
Role: author
Email: gernot.verch@zalf.de
Url:
Michael Sommer
Role: author
Email: sommer@zalf.de
Url:
Jürgen Augustin
Role: author
Email: jaug@zalf.de
Url:
Michael Sommer
Role: projectLeader
Email: sommer@zalf.de
Url:
Leibniz Centre for Agricultural Landscape Research
Role: contributor

Temporal

Created: 2024-03-27
Updated: 2024-04-23
Temporal extent: date

Formats
  • CSV
License: Unknown

Rights: Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: "Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities." Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.

Language: eng

title_alternate: Data collection: Part 0/5, table: Index

Updated: 2024-04-23