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Mathematical models of plant–soil interaction

Mathematical models of plant–soil interaction
Mathematical models of plant–soil interaction
In this paper, we set out to illustrate and discuss how mathematical modelling could and should be applied to aid our understanding of plants and, in particular, plant–soil interactions. Our aim is to persuade members of both the biological and mathematical communities of the need to collaborate in developing quantitative mechanistic models. We believe that such models will lead to a more profound understanding of the fundamental science of plants and may help us with managing real-world problems such as food shortages and global warming. We start the paper by reviewing mathematical models that have been developed to describe nutrient and water uptake by a single root. We discuss briefly the mathematical techniques involved in analysing these models and present some of the analytical results of these models. Then, we describe how the information gained from the single-root scale models can be translated to root system and field scales. We discuss the advantages and disadvantages of different mathematical approaches and make a case that mechanistic rather than phenomenological models will in the end be more trustworthy. We also discuss the need for a considerable amount of effort on the fundamental mathematics of upscaling and homogenization methods specialized for branched networks such as roots. Finally, we discuss different future avenues of research and how we believe these should be approached so that in the long term it will be possible to develop a valid, quantitative whole-plant model.
multiscale modelling, soil–plant–atmosphere continuum, climate change
1364-503X
4597-4611
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Schnepf, Andrea
b0b2f3f8-50ad-45b6-87b9-2a7ad4e5eca5
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Schnepf, Andrea
b0b2f3f8-50ad-45b6-87b9-2a7ad4e5eca5

Roose, Tiina and Schnepf, Andrea (2008) Mathematical models of plant–soil interaction. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366 (1885), 4597-4611. (doi:10.1098/rsta.2008.0198).

Record type: Article

Abstract

In this paper, we set out to illustrate and discuss how mathematical modelling could and should be applied to aid our understanding of plants and, in particular, plant–soil interactions. Our aim is to persuade members of both the biological and mathematical communities of the need to collaborate in developing quantitative mechanistic models. We believe that such models will lead to a more profound understanding of the fundamental science of plants and may help us with managing real-world problems such as food shortages and global warming. We start the paper by reviewing mathematical models that have been developed to describe nutrient and water uptake by a single root. We discuss briefly the mathematical techniques involved in analysing these models and present some of the analytical results of these models. Then, we describe how the information gained from the single-root scale models can be translated to root system and field scales. We discuss the advantages and disadvantages of different mathematical approaches and make a case that mechanistic rather than phenomenological models will in the end be more trustworthy. We also discuss the need for a considerable amount of effort on the fundamental mathematics of upscaling and homogenization methods specialized for branched networks such as roots. Finally, we discuss different future avenues of research and how we believe these should be approached so that in the long term it will be possible to develop a valid, quantitative whole-plant model.

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More information

Published date: December 2008
Keywords: multiscale modelling, soil–plant–atmosphere continuum, climate change

Identifiers

Local EPrints ID: 145147
URI: http://eprints.soton.ac.uk/id/eprint/145147
ISSN: 1364-503X
PURE UUID: 6b3c51fc-322d-4de6-bc2e-360b57629307
ORCID for Tiina Roose: ORCID iD orcid.org/0000-0001-8710-1063

Catalogue record

Date deposited: 16 Apr 2010 08:33
Last modified: 14 Mar 2024 02:54

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Contributors

Author: Tiina Roose ORCID iD
Author: Andrea Schnepf

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