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Modelling fungal competition for space:Towards prediction of community dynamics
Discrete & Continuous Dynamical Systems - B, Volume: 22, Issue: 11, Pages: 4411 - 4426
Swansea University Authors: Diogenis Kiziridis, Mike Fowler , Chenggui Yuan
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DOI (Published version): 10.3934/dcdsb.2020104
Filamentous fungi contribute to ecosystem and human-induced processes such as primary production, bioremediation, biogeochemical cycling and biocontrol. Predicting the dynamics of fungal communities can hence improve our forecasts of ecological processes which depend on fungal community structure. I...
|Published in:||Discrete & Continuous Dynamical Systems - B|
American Institute of Mathematical Sciences (AIMS)
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Filamentous fungi contribute to ecosystem and human-induced processes such as primary production, bioremediation, biogeochemical cycling and biocontrol. Predicting the dynamics of fungal communities can hence improve our forecasts of ecological processes which depend on fungal community structure. In this work, simple theoretical models of fungal interactions with ordinary and partial differential equations are established, and to validate model predictions against community dynamics of a three species empirical system. We found that space is an important factor for the prediction of community dynamics, since the performance was poor for models of ordinary differential equations assuming well-mixed nutrient substrate. The models of partial differential equations could satisfactorily predict the dynamics of a single species, but exhibited limitations which prevented the prediction of empirical community dynamics. One such limitation is the arbitrary choice of a threshold local density above which a fungal mycelium is considered present in the model. In conclusion, spatially explicit simulation models, able to incorporate different factors influencing interaction outcomes and hence dynamics, appear as a more promising direction towards prediction of fungal community dynamics.
Relative cover, wood decay species, basidiomycetes, mycelium, interspecific interactions, antagonism, master equations, mean-field approximation, ordinary differential equations, reaction--diffusion equations.
Faculty of Science and Engineering