Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data

  • Soil acidification is caused by natural paedogenetic processes and anthropogenic impacts but can be counteracted by regular lime application. Although sensors and applicators for variable-rate liming (VRL) exist, there are no established strategies for using these tools or helping to implement VRL in practice. Therefore, this study aimed to provide guidelines for site-specific liming based on proximal soil sensing. First, high-resolution soil maps of the liming-relevant indicators (pH, soil texture and soil organic matter content) were generated using on-the-go sensors. The soil acidity was predicted by two ion-selective antimony electrodes (RMSEpH: 0.37); the soil texture was predicted by a combination of apparent electrical resistivity measurements and natural soil-borne gamma emissions (RMSEclay: 0.046 kg kg−1); and the soil organic matter (SOM) status was predicted by a combination of red (660 nm) and near-infrared (NIR, 970 nm) optical reflection measurements (RMSESOM: 6.4 g kg−1). Second, to address the high within-field soilSoil acidification is caused by natural paedogenetic processes and anthropogenic impacts but can be counteracted by regular lime application. Although sensors and applicators for variable-rate liming (VRL) exist, there are no established strategies for using these tools or helping to implement VRL in practice. Therefore, this study aimed to provide guidelines for site-specific liming based on proximal soil sensing. First, high-resolution soil maps of the liming-relevant indicators (pH, soil texture and soil organic matter content) were generated using on-the-go sensors. The soil acidity was predicted by two ion-selective antimony electrodes (RMSEpH: 0.37); the soil texture was predicted by a combination of apparent electrical resistivity measurements and natural soil-borne gamma emissions (RMSEclay: 0.046 kg kg−1); and the soil organic matter (SOM) status was predicted by a combination of red (660 nm) and near-infrared (NIR, 970 nm) optical reflection measurements (RMSESOM: 6.4 g kg−1). Second, to address the high within-field soil variability (pH varied by 2.9 units, clay content by 0.44 kg kg−1 and SOM by 5.5 g kg−1), a well-established empirical lime recommendation algorithm that represents the best management practices for liming in Germany was adapted, and the lime requirements (LRs) were determined. The generated workflow was applied to a 25.6 ha test field in north-eastern Germany, and the variable LR was compared to the conventional uniform LR. The comparison showed that under the uniform liming approach, 63% of the field would be over-fertilized by approximately 12 t of lime, 6% would receive approximately 6 t too little lime and 31% would still be adequately limed.show moreshow less

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Metadaten
Author:Eric Bönecke, Swen Meyer, Sebastian Vogel, Ingmar Schröter, Robin Gebbers, Charlotte Kling, Eckart KramerORCiDGND, Katrin Lück, Anne Nagel, Golo Philipp, Felix Gerlach, Stefan Palme, Dirk Scheibe, Karin Zieger, Jörg Rühlmann
URN:urn:nbn:de:kobv:eb1-opus-4890
DOI:https://doi.org/10.1007/s11119-020-09766-8
ISSN:1385-2256
Parent Title (English):Precision Agriculture
Publisher:Springer Nature
Document Type:Article
Language:English
Year of Completion:2020
Date of first Publication:2020/10/31
Publishing Institution:Hochschule für nachhaltige Entwicklung Eberswalde
Release Date:2023/05/11
Tag:Variable rate soil liming; Soil texture; Soil pH; Soil organic matter; Soil sensing; Site specific soil management
Volume:22
First Page:493
Last Page:523
Institutions / Departments:Fachbereich Landschaftsnutzung und Naturschutz
open_access (DINI-Set):open_access
University Bibliography:University Bibliography
Zweitveröffentlichung
Peer-Review / Referiert
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
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