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http://hdl.handle.net/10265/574
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| Title: | A hybrid mathematical model of fungal mycelia : tropisms, polarised growth and application to colony competition |
| Authors: | Hopkins, Steven Michael |
| Keywords: | Fungal mycelia |
| Issue Date: | 16-May-2012 |
| Citation: | Hopkins,S.M. (2011) 'A hybrid mathematical model of fungal mycelia : tropisms, polarised growth and application to colony competition'. Unpublished Ph.D. thesis. University of Glamorgan. |
| Abstract: | Fungi are a crucial component of most ecosystems and are responsible for decomposing organic
matter, distributing nutrients through the environment and supporting plants and animal life
through symbiotic relationships. Certain species of fungi are common pathogens causing disease
and infection in plants and animals. The highly integrated nature of fungi in relation to the
environment and all life emphasises the importance of developing a greater understanding of the
growth and morphology of such organisms.
Mathematical modelling has provided a means through which key processes can be isolated
to analyse and simulate a target system to allow observations and form predictions regarding
unknown phenomena. Numerous models of fungal colonies have been produced and are generally
categorised into two main groups; continuous and discrete. The following study combines the
approaches so that the constructed hybrid model comprises a discrete network that represents the
fungal mycelia and a continuous component to account for the continuous substrates and other compounds crucial to fungal growth and development. Key processes such as uptake, translocation
and anastomosis are included in addition to the implementation of a flexible hyphal orientation
scheme that facilitates a variety of tropisms to different influential factors.
The hybrid model is used to investigate several scenarios such as the polarisation of growth in
response to isolated nutrient resources, competition between multiple colonies and fungal development
and persistence in polluted environments. These investigations demonstrate the versatility
of the hybrid model and highlight the potential for further applications. |
| URI: | http://hdl.handle.net/10265/574 |
| Appears in Collections: | PhD theses from the University of Glamorgan
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