Editorial: Microscale Modelling of Soil Processes: Recent Advances, Challenges, and the Path Ahead

Pot, Valérie; Gerke, Kirill M.; Ebrahimi, Ali; Garnier, Patricia; Baveye, Philippe

doi:10.3389/fenvs.2021.818038

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Nowadays, it is not possible to explain or understand the overall interaction in soils, although statistical tools make good approximations, emulating and recreating some interactions (139), or even trying to recreate soil processes using novel models at microscale (140). Within this framework, RDA produces an ordination that summarizes the main patterns of variation in the response matrix which can be explained by explanatory variables.…”

Section: Statistical Methods For Analysing Jointly Data From Laborato...mentioning

confidence: 99%

Bioinformatic study of the soil microbiome under different cropping systems

Moñino¹

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The presentation of this doctoral thesis is made under "publication compendium mode", in accordance with Article 20 of the Regulation of Official Doctorates Studies of the Polytechnic University of Cartagena of March 24, 2022. The papers have been published in open access with the express authorization of director and co-directors of the present thesis. The papers were prepared and published after the beginning of the doctoral studies and its references are listed below:

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Section: Statistical Methods For Analysing Jointly Data From Laborato...mentioning

confidence: 99%

Bioinformatic study of the soil microbiome under different cropping systems

Moñino¹

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How to adequately represent biological processes in modeling multifunctionality of arable soils

Vogel,

Amelung,

Baum

et al. 2024

Biol Fertil Soils

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Essential soil functions such as plant productivity, C storage, nutrient cycling and the storage and purification of water all depend on soil biological processes. Given this insight, it is remarkable that in modeling of these soil functions, the various biological actors usually do not play an explicit role. In this review and perspective paper we analyze the state of the art in modeling these soil functions and how biological processes could more adequately be accounted for. We do this for six different biologically driven processes clusters that are key for understanding soil functions, namely i) turnover of soil organic matter, ii) N cycling, iii) P dynamics, iv) biodegradation of contaminants v) plant disease control and vi) soil structure formation. A major conclusion is that the development of models to predict changes in soil functions at the scale of soil profiles (i.e. pedons) should be better rooted in the underlying biological processes that are known to a large extent. This is prerequisite to arrive at the predictive models that we urgently need under current conditions of Global Change.

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Microscale heterogeneity controls macroscopic soil heterotrophic respiration by regulating resource availability and environmental stress

Zhang

Wang

et al. 2023

Biogeochemistry

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Editorial: Microscale Modelling of Soil Processes: Recent Advances, Challenges, and the Path Ahead

Cited by 4 publications

References 24 publications

Bioinformatic study of the soil microbiome under different cropping systems

Bioinformatic study of the soil microbiome under different cropping systems

How to adequately represent biological processes in modeling multifunctionality of arable soils

Microscale heterogeneity controls macroscopic soil heterotrophic respiration by regulating resource availability and environmental stress

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