期刊
FUNGAL ECOLOGY
卷 41, 期 -, 页码 13-22出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.funeco.2019.04.003
关键词
Relative cover dynamics; Higher-order interactions; Biogeochemical cycling; Primary production; Biocontrol; Bioremediation; Wood decay; Stochastic theoretical model; Spatially explicit simulations; Kinetic Monte Carlo algorithm
资金
- Swansea University
Predicting fungal community dynamics requires methods combining theory with experiments. Different elements of spatial competition influence interaction outcomes, and consequently community dynamics. Despite the literature on such elements, no theoretical study has tested the predictability of dynamics with models incorporating these elements. We aimed to develop a method for predicting dynamics, to be tested first under laboratory conditions. Six spatial competition elements were quantified for three basidiomycete species on agar. We found: constant extension; extension unaffected by other mycelia; faster replacement of younger mycelial regions; faster replacement of smaller mycelia; uniform distribution of mycelia! competitive ability across the boundary with heterospecifics; and additive effects of competition. We developed a lattice model, and found that incorporation of all experimentally quantified elements was necessary for accurate prediction of dynamics. Our study provides a methodological basis for prediction of fungal dynamics, and hence of ecosystem processes in which filamentous fungi are key players. (C) 2019 Elsevier Ltd and British Mycological Society. All rights reserved.
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