Articles | Volume 11, issue 2
https://doi.org/10.5194/soil-11-755-2025
© Author(s) 2025. 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-11-755-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
What if publication bias is the rule and net carbon loss from priming the exception?
Jennifer Michel
CORRESPONDING AUTHOR
Plant Genetics and Rhizosphere Processes laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Transdisciplinary Agroecosystem Platform for Integrated Research (TAPIR), TERRA teaching and research centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Yves Brostaux
Modélisation et développement, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Bernard Longdoz
Transdisciplinary Agroecosystem Platform for Integrated Research (TAPIR), TERRA teaching and research centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Biosystems Dynamics and Exchanges (BIODYNE), TERRA teaching and research centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Hervé Vanderschuren
Plant Genetics and Rhizosphere Processes laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Transdisciplinary Agroecosystem Platform for Integrated Research (TAPIR), TERRA teaching and research centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Tropical Crop Improvement Lab, Department of Biosystems, KU Leuven, Heverlee, Belgium
Pierre Delaplace
Plant Genetics and Rhizosphere Processes laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Transdisciplinary Agroecosystem Platform for Integrated Research (TAPIR), TERRA teaching and research centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
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Biogeosciences, 23, 2079–2099, https://doi.org/10.5194/bg-23-2079-2026, https://doi.org/10.5194/bg-23-2079-2026, 2026
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Using an advanced optimisation method, we calibrated a crop model against dry matter, carbon and water exchanges. Although model predictions matched observations well, the process revealed weaknesses in the model, such as difficulty in representing evapotranspiration, especially during heatwaves. This multi-objective approach highlighted the need to better capture stomatal and non-stomatal responses in order to improve predictions of crop models.
Benjamin Guillaume, Hanane Aroui Boukbida, Gerben Bakker, Andrzej Bieganowski, Yves Brostaux, Wim Cornelis, Wolfgang Durner, Christian Hartmann, Bo V. Iversen, Mathieu Javaux, Joachim Ingwersen, Krzysztof Lamorski, Axel Lamparter, András Makó, Ana María Mingot Soriano, Ingmar Messing, Attila Nemes, Alexandre Pomes-Bordedebat, Martine van der Ploeg, Tobias Karl David Weber, Lutz Weihermüller, Joost Wellens, and Aurore Degré
SOIL, 9, 365–379, https://doi.org/10.5194/soil-9-365-2023, https://doi.org/10.5194/soil-9-365-2023, 2023
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Measurements of soil water retention properties play an important role in a variety of societal issues that depend on soil water conditions. However, there is little concern about the consistency of these measurements between laboratories. We conducted an interlaboratory comparison to assess the reproducibility of the measurement of the soil water retention curve. Results highlight the need to harmonize and standardize procedures to improve the description of unsaturated processes in soils.
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Short summary
We discuss three aspects to ensure (rhizosphere) priming effects are correctly perceived in their ecological context and measured at appropriate scales. (i) The first aspect is that there is little empirical evidence for net C losses from priming. (ii) The second aspect is critical publication bias. (iii) The third aspect is a need to distinguish between priming effects (PE) and rhizosphere priming effects (RPE).
We discuss three aspects to ensure (rhizosphere) priming effects are correctly perceived in...