Challenges in imaging and predictive modeling of rhizosphere processes

Research output: Contribution to journalReview articleResearchpeer review

Authors

  • T. Roose
  • S. D. Keyes
  • K. R. Daly
  • A. Carminati
  • W. Otten
  • D. Vetterlein
  • S. Peth

External Research Organisations

  • University of Southampton
  • University of Göttingen
  • Abertay University
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • University of Kassel
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Details

Original languageEnglish
Pages (from-to)9-38
Number of pages30
JournalPlant and soil
Volume407
Issue number1-2
Publication statusPublished - 1 Oct 2016
Externally publishedYes

Abstract

Background: Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope: In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions: We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.

Keywords

    Chemical mapping, Correlative imaging, Mathematical modeling, Rhizosphere, X-ray CT

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Challenges in imaging and predictive modeling of rhizosphere processes. / Roose, T.; Keyes, S. D.; Daly, K. R. et al.
In: Plant and soil, Vol. 407, No. 1-2, 01.10.2016, p. 9-38.

Research output: Contribution to journalReview articleResearchpeer review

Roose, T, Keyes, SD, Daly, KR, Carminati, A, Otten, W, Vetterlein, D & Peth, S 2016, 'Challenges in imaging and predictive modeling of rhizosphere processes', Plant and soil, vol. 407, no. 1-2, pp. 9-38. https://doi.org/10.1007/s11104-016-2872-7
Roose, T., Keyes, S. D., Daly, K. R., Carminati, A., Otten, W., Vetterlein, D., & Peth, S. (2016). Challenges in imaging and predictive modeling of rhizosphere processes. Plant and soil, 407(1-2), 9-38. https://doi.org/10.1007/s11104-016-2872-7
Roose T, Keyes SD, Daly KR, Carminati A, Otten W, Vetterlein D et al. Challenges in imaging and predictive modeling of rhizosphere processes. Plant and soil. 2016 Oct 1;407(1-2):9-38. doi: 10.1007/s11104-016-2872-7
Roose, T. ; Keyes, S. D. ; Daly, K. R. et al. / Challenges in imaging and predictive modeling of rhizosphere processes. In: Plant and soil. 2016 ; Vol. 407, No. 1-2. pp. 9-38.
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