2016
DOI: 10.1016/j.aaf.2016.10.001
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An individual-based probabilistic model for simulating fisheries population dynamics

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Cited by 7 publications
(2 citation statements)
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“…In this sense, there exist membrane computing models on population dynamics that use a membrane graph to represent space [13,18,21]. However, the usage of a membrane graph to represent a lattice of spatial regions is not common in the literature of membrane computing models in population dynamics, even though it is a widespread practice in agent-based modeling in fisheries [5,12,37,38]. In this sense, we plan to apply membrane computing as a modeling framework for spatially-explicit phenomena in population dynamics in aquatic ecosystems, using membrane grids to represent spatial and other types of regions.…”
Section: Future Workmentioning
confidence: 99%
“…In this sense, there exist membrane computing models on population dynamics that use a membrane graph to represent space [13,18,21]. However, the usage of a membrane graph to represent a lattice of spatial regions is not common in the literature of membrane computing models in population dynamics, even though it is a widespread practice in agent-based modeling in fisheries [5,12,37,38]. In this sense, we plan to apply membrane computing as a modeling framework for spatially-explicit phenomena in population dynamics in aquatic ecosystems, using membrane grids to represent spatial and other types of regions.…”
Section: Future Workmentioning
confidence: 99%
“…Traditional growth models often oversimplified the complex processes underlying fish growth. However, contemporary approaches, such as individual-based models (e.g., [18]) and bioenergetics models (e.g., [19]), account for the intricate interplay between biological, environmental, and ecological factors. These innovative models integrate environmental factors to create more accurate representations of growth trajectories [20].…”
mentioning
confidence: 99%