Articles | Volume 9, issue 2
https://doi.org/10.5194/soil-9-533-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-9-533-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Short communication
| 
17 Oct 2023
Short communication |
| 17 Oct 2023
| 17 Oct 2023
The soil knowledge library (KLIB) – a structured literature database on soil process research
Hans-Jörg Vogel
CORRESPONDING AUTHOR
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
Bibiana Betancur-Corredor
Senckenberg Museum of Natural History Görlitz, Am Museum 1, 02826 Görlitz, Germany
Leonard Franke
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
Sara König
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
Birgit Lang
Senckenberg Museum of Natural History Görlitz, Am Museum 1, 02826 Görlitz, Germany
Maik Lucas
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
Eva Rabot
INRAE, Info & Sols, 45075 Orléans, France
Bastian Stößel
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
Ulrich Weller
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
Martin Wiesmeier
TUM School of Life Sciences Weihenstephan, Technical University of Munich, Emil-Ramann-Straße 2, 85354 Freising, Germany
Ute Wollschläger
Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser Str. 4, 06120 Halle (Saale), Germany
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Cited articles
Angular: The web development framework for building the future, https://angular.io/ (last access: 16 March 2023), 2023. a
Balesdent, J., Chenu, C., and Balabane, M.: Relationship of soil organic matter dynamics to physical protection and tillage, Soil Till. Res., 53, 215–230, 2000. a
Betancur-Corredor, B., Lang, B., and Russell, D. J.: Organic nitrogen fertilization benefits selected soil fauna in global agroecosystems, Biol. Fertil. Soils, 59, 1–16, 2022a. a
Betancur-Corredor, B., Lang, B., and Russell, D. J.: Reducing tillage intensity benefits the soil micro-and mesofauna in a global meta-analysis, Eur. J. Soil Sci., 73, e13321, https://doi.org/10.1111/ejss.13321, 2022b. a
Blanchy, G., Albrecht, L., Koestel, J., and Garré, S.: Potential of natural language processing for metadata extraction from environmental scientific publications, SOIL, 9, 155–168, https://doi.org/10.5194/soil-9-155-2023, 2023. a
Bonares Knowledge library: KLIB, https://klibrary.bonares.de, last access: 26 July 2023. a
Cote, I. and Jennions, M.: The Procedure of Meta-analysis in a Nutshell, in: Handbook of meta-analysis in ecology and evolution, Princeton University Press: Princeton, New Jersey, 195–206, ISBN 0691137293, 2013. a
Engel, T. and Priesack, E.: Expert-N-A Building Block System of Nitrogen Models as Resource for Advice, Research, Water Management and Policy, in: Integrated Soil and Sediment Research: A Basis for Proper Protection: Selected Proceedings of the First European Conference on Integrated Research for Soil and Sediment Protection and Remediation (EUROSOL), Springer, 503–507, ISBN 978-94-010-4887-3, 1993. a
Guggenberger, G., Thomas, R. J., and Zech, W.: Soil organic matter within earthworm casts of an anecic-endogeic tropical pasture community, Colombia, Appl. Soil Ecol., 3, 263–274, 1996. a
Haddaway, N., Woodcock, P., Macura, B., and Collins, A.: Making literature reviews more reliable through application of lessons from systematic reviews, Conserv. Biol., 29, 1596–1605, 2015. a
Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., Moore, A. D., Brown, H., Whish, J. P. M., Verrall, S., Fainges, J., Bell, L. W., Peake, A. S., Poulton, P. L., Hochman, Z., Thorburn, P. J., Gaydon, D. S., Dalgliesh, N. P., Rodriguez, D., Cox, H., Chapman, S., Doherty, A., Teixeira, E., Sharp, J., Cichota, R., Vogeler, I., Li, F. Y., Wang, E., Hammer, G. L., Robertson, M. J., Dimes, J. P., Whitbread, A. M., Hunt, J., van Rees, H., McClelland, T., Carberry, P. S., Hargreaves, J. N. G., MacLeod, N., McDonald, C., Harsdorf , J., Wedgwood, S., and Keating, B. A.: APSIM–evolution towards a new generation of agricultural systems simulation, Environ. Model. Softw., 62, 327–350, 2014. a
Jarvis, N., Koestel, J., Messing, I., Moeys, J., and Lindahl, A.: Influence of soil, land use and climatic factors on the hydraulic conductivity of soil, Hydrol. Earth Syst. Sci., 17, 5185–5195, https://doi.org/10.5194/hess-17-5185-2013, 2013. a
Koricheva, J., Gurevitch, J., and Mengersen, K.: Handbook of meta-analysis in ecology and evolution, Princeton University Press, ISBN 0691137293, 2013. a
Lang, B., Betancur-Corredor, B., and Russell, D. J.: Earthworms increase mineral soil nitrogen content–a meta-analysis, Soil Organisms, 95, 1–16, 2023. a
Mikolajewicz, N. and Komarova, S. V.: Meta-analytic methodology for basic research: a practical guide, Front. Physiol., 10, 203, 2019. a
Miltner, A., Bombach, P., Schmidt-Brücken, B., and Kästner, M.: SOM genesis: microbial biomass as a significant source, Biogeochemistry, 111, 41–55, 2012. a
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., Stewart, L. A., Thomas, J., Tricco, A. C., Welch, V. A., Whiting, P., and Moher, D.: The PRISMA 2020 statement: an updated guideline for reporting systematic reviews, Int. J. Surg., 88, 105906, https://doi.org/10.1136/bmj.n71, 2021. a
Schmidt, M. W., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D. A., Nannipieri, P., Rasse, D. P., Weiner, S., and Trumbore, S. E.: Persistence of soil organic matter as an ecosystem property, Nature, 478, 49–56, 2011. a
Simpson, Z. P., Jordahl, J., Leptin, A., Miguez, F. E., Niemi, J., Schulte, L. A., Thompson, M. L., Villarino, S. H., and McDaniel, M. D.: No-tillage does not on average reduce soil carbon storage compared to conventional tillage. Comment on “Declines in soil carbon storage under no tillage can be alleviated in the long run” by Cai et al., Geoderma, 430, 116307, https://doi.org/10.1016/j.geoderma.2022.116307, 2023. a
Subirats-Coll, I., Kolshus, K., Turbati, A., Stellato, A., Mietzsch, E., Martini, D., and Zeng, M.: AGROVOC: The linked data concept hub for food and agriculture, Comput. Electron. Agricult., 196, 105965, https://doi.org/10.1016/j.compag.2020.105965, 2022. a
Vogel, H.-J., Bartke, S., Daedlow, K., Helming, K., Kögel-Knabner, I., Lang, B., Rabot, E., Russell, D., Stößel, B., Weller, U., Wiesmeier, M., and Wollschläger, U.: A systemic approach for modeling soil functions, SOIL, 4, 83–92, https://doi.org/10.5194/soil-4-83-2018, 2018. a
Vogel, H.-J., Betancur-Corredor, B., Franke, L., König, S., Lang, B., Lucas, M., Rabot, E., Stößel, B., Weller, U., Wiesmeier, M., and Wollschläger, U.: Code for the KLIB, GitLab [code], https://git.ufz.de/Bonares/knowledgelibrary, last access: 12 October 2023. a
Wachendorf, C., Potthoff, M., Ludwig, B., and Joergensen, R. G.: Effects of addition of maize litter and earthworms on C mineralization and aggregate formation in single and mixed soils differing in soil organic carbon and clay content, Pedobiologia, 57, 161–169, 2014. a
Short summary
Our paper presents a new web-based software tool to support soil process research. It is designed to categorize publications in this field according to site and soil characteristics, as well as experimental conditions, which is of critical importance for the interpretation of the research results. The software tool is provided open access for the soil science community such that anyone can contribute to improve the contents of the literature data base.
Our paper presents a new web-based software tool to support soil process research. It is...
