Margalida, Antoni (2014). Application of a computational model for complex fluvial ecosystems: The population dynamics of zebra mussel Dreissena polymorpha as a case study. Ecological Complexity, 20, pp. 116-126. Elsevier 10.1016/j.ecocom.2014.09.006
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The potential and adaptive
flexibility of population dynamic P-systems (PDP) to study population
dynamics suggests that they may be suitable for modelling complex
fluvial ecosystems, characterized by
a composition of dynamic habitats with many variables that interact simultaneously. Using as a model a
reservoir occupied by the zebra mussel Dreissena polymorpha, we designed a computational model based
on P systems to study the population dynamics of larvae, in order to evaluate management actions to
control or eradicate this invasive species. The population dynamics of this species was simulated under
different scenarios ranging from the absence of water
flow change to a weekly variation with different
flow rates, to the actual hydrodynamic situation of an intermediate
flow rate. Our results show that PDP
models can be very useful tools to model complex, partially desynchronized, processes that work in
parallel. This allows the study of complex hydroecological processes such as the one presented, where
reproductive cycles, temperature and water dynamics are involved in the desynchronization of the
population dynamics both, within areas and among them.
The results obtained may be useful in the management of other reservoirs with similar hydrodynamic
situations in which the presence of this invasive species has been documented.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) |
UniBE Contributor: |
Margalida, Antoni |
Subjects: |
500 Science > 570 Life sciences; biology 500 Science > 590 Animals (Zoology) |
ISSN: |
1476-945X |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Olivier Roth |
Date Deposited: |
25 Mar 2015 13:55 |
Last Modified: |
05 Dec 2022 14:44 |
Publisher DOI: |
10.1016/j.ecocom.2014.09.006 |
Web of Science ID: |
000348010800012 |
BORIS DOI: |
10.7892/boris.65737 |
URI: |
https://boris.unibe.ch/id/eprint/65737 |