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Measuring heterogeneity in soil networks: a network analysis and simulation-based approach

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  • Davis, Natalie
  • Polhill, J. Gareth
  • Aitkenhead, M.J.

Abstract

Quantifying soil structural and ecological heterogeneity is crucial for understanding their interactions and their relationships to the resilience and health of the wider ecosystem. However, a clear understanding of how structural heterogeneity affects soil biodiversity is still emerging. Previous work has primarily used expensive, often laboratory-based methods to quantify soil pore network structure, and typically separated study of structural and biological dimensions. Here, we test whether standard network metrics can be used to quantify structural heterogeneity in soil pore networks, and how this network structure, along with characteristics of the consumer and resource populations, affects the heterogeneity of a population of consumers. Specifically, we extract simplified soil pore networks from digital photographs of soil profiles and apply established metrics from network science and transport geography to quantify and compare the networks. The networks are also used as the medium for an agent-based model of generalised consumers, to analyse the effects of consumer and resource parameterisations and network structure. Combining network analysis and simulation modelling in this way can provide insights on the structure, function, and diversity possible in the soil, as well as avenues for exploring the impact of future structural or environmental changes.

Suggested Citation

  • Davis, Natalie & Polhill, J. Gareth & Aitkenhead, M.J., 2021. "Measuring heterogeneity in soil networks: a network analysis and simulation-based approach," Ecological Modelling, Elsevier, vol. 439(C).
  • Handle: RePEc:eee:ecomod:v:439:y:2021:i:c:s0304380020303781
    DOI: 10.1016/j.ecolmodel.2020.109308
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    1. Gang Cao & Bokun Chang & Zhiying Zhou & Liang Hu & Wei Du & Jialong Lv, 2022. "Soil Aggregate Breakdown with Colloidal Particles Release and Transport in Soil: A Perspective from Column Experiments," Agriculture, MDPI, vol. 12(12), pages 1-16, December.

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