Quantitative modelling of root growth and carbon allocation: bridging theory and experiment

Ziegler, Clare (2023). Quantitative modelling of root growth and carbon allocation: bridging theory and experiment. University of Birmingham. Ph.D.

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Abstract

Plant root systems play a vital role in carbon sequestration, but the quantitative principles governing their growth and architecture remain poorly understood. The forward problem of what root forms can arise from given models and parameters has been well studied through modelling and simulation, but comparatively little attention has been given to the 'inverse problem': what models and parameters can accurately simulate an experimentally observed root system? This thesis proposes the use of approximate Bayesian computation to infer mechanistic parameters governing root growth and architecture, allowing us to learn and quantify uncertainty in parameters and model structures using observed root architectures. In addition, large-scale field observations of fine roots, derived from belowground imaging and soil cores are combined with image analysis, stochastic modelling, and statistical inference, to elucidate belowground root dynamics in a mature temperate deciduous forest under free-air carbon enrichment to 150ppm above ambient levels. Results show that elevated carbon dioxide leads to relatively faster root production. Also discussed and quantified is the large, but often neglected, uncertainties in such production measurements resulting from the experimental process, which may then be propagated in further work.

Type of Work:

Thesis (Doctorates > Ph.D.)

Award Type:

Doctorates > Ph.D.

Supervisor(s):