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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
Abstract
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 |
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ISSN: | 1553-524X |
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American Institute of Mathematical Sciences (AIMS)
2020
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57829 |
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2021-10-04T14:08:45.9116867 v2 57829 2021-09-09 Modelling fungal competition for space:Towards prediction of community dynamics 5b7193be0c0536656df80ac40759a4d3 Diogenis Kiziridis Diogenis Kiziridis true false a3a29027498d4b43a3f082a0a5ba16b4 0000-0003-1544-0407 Mike Fowler Mike Fowler true false 22b571d1cba717a58e526805bd9abea0 0000-0003-0486-5450 Chenggui Yuan Chenggui Yuan true false 2021-09-09 SBI 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. Journal Article Discrete & Continuous Dynamical Systems - B 22 11 4411 4426 American Institute of Mathematical Sciences (AIMS) 1553-524X Relative cover, wood decay species, basidiomycetes, mycelium, interspecific interactions, antagonism, master equations, mean-field approximation, ordinary differential equations, reaction--diffusion equations. 1 11 2020 2020-11-01 10.3934/dcdsb.2020104 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2021-10-04T14:08:45.9116867 2021-09-09T10:32:37.1309119 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Diogenis Kiziridis 1 Mike Fowler 0000-0003-1544-0407 2 Chenggui Yuan 0000-0003-0486-5450 3 57829__20803__99525977741b40c482b7adc897e92b80.pdf 19DFY-RIS.pdf 2021-09-09T10:43:42.4253764 Output 3115199 application/pdf Accepted Manuscript true 2021-11-01T00:00:00.0000000 true eng |
title |
Modelling fungal competition for space:Towards prediction of community dynamics |
spellingShingle |
Modelling fungal competition for space:Towards prediction of community dynamics Diogenis Kiziridis Mike Fowler Chenggui Yuan |
title_short |
Modelling fungal competition for space:Towards prediction of community dynamics |
title_full |
Modelling fungal competition for space:Towards prediction of community dynamics |
title_fullStr |
Modelling fungal competition for space:Towards prediction of community dynamics |
title_full_unstemmed |
Modelling fungal competition for space:Towards prediction of community dynamics |
title_sort |
Modelling fungal competition for space:Towards prediction of community dynamics |
author_id_str_mv |
5b7193be0c0536656df80ac40759a4d3 a3a29027498d4b43a3f082a0a5ba16b4 22b571d1cba717a58e526805bd9abea0 |
author_id_fullname_str_mv |
5b7193be0c0536656df80ac40759a4d3_***_Diogenis Kiziridis a3a29027498d4b43a3f082a0a5ba16b4_***_Mike Fowler 22b571d1cba717a58e526805bd9abea0_***_Chenggui Yuan |
author |
Diogenis Kiziridis Mike Fowler Chenggui Yuan |
author2 |
Diogenis Kiziridis Mike Fowler Chenggui Yuan |
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Journal article |
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Discrete & Continuous Dynamical Systems - B |
container_volume |
22 |
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11 |
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4411 |
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2020 |
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Swansea University |
issn |
1553-524X |
doi_str_mv |
10.3934/dcdsb.2020104 |
publisher |
American Institute of Mathematical Sciences (AIMS) |
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Faculty of Science and Engineering |
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description |
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. |
published_date |
2020-11-01T04:13:52Z |
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1763753939171278848 |
score |
11.037581 |