Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models

Füchslin, Rudolf Marcel; Krütli, Pius; Ott, Thomas; Scheidegger, Stephan; Schneider, Johannes Josef; Seric, Marko; Smieszek, Timo; Weyland, Mathias S.

doi:10.1162/isal_a_00504

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25986

Publication type:	Conference paper
Type of review:	Not specified
Title:	Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models
Authors:	Füchslin, Rudolf Marcel Krütli, Pius Ott, Thomas Scheidegger, Stephan Schneider, Johannes Josef Seric, Marko Smieszek, Timo Weyland, Mathias S.
et. al:	No
DOI:	10.1162/isal_a_00504 10.21256/zhaw-25986
Proceedings:	ALIFE 2022: The 2022 Conference on Artificial Life
Page(s):	75
Conference details:	International Conference on Artificial Life (ALIFE), online, 18-22 July 2022
Issue Date:	2022
Publisher / Ed. Institution:	MIT Press
Publisher / Ed. Institution:	Cambridge
Language:	English
Subject (DDC):	579: Microbiology
Abstract:	Spatial resolution is relevant for many processes in population dynamics because it may give rise to heterogeneity. Simulating the effect of space in two or three dimensions is computationally costly. Furthermore, in Euclidean space, the notion of heterogeneity is complemented by neighbourhood correlations. In this paper, we use an infinite-dimensional simplex as a minimal model of space in which heterogeneity is realized, but neighbourhood is trivial and study the coexistence of viral traits in a SIRS - model. As a function of the migration parameter, multiple regimes are observed. We further discuss the relevance of minimal models for decision support.
URI:	https://digitalcollection.zhaw.ch/handle/11475/25986
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	Life Sciences and Facility Management School of Engineering
Organisational Unit:	Institute of Applied Mathematics and Physics (IAMP) Institute of Computational Life Sciences (ICLS)
Appears in collections:	Publikationen School of Engineering

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Füchslin, R. M., Krütli, P., Ott, T., Scheidegger, S., Schneider, J. J., Seric, M., Smieszek, T., & Weyland, M. S. (2022). Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models [Conference paper]. ALIFE 2022: The 2022 Conference on Artificial Life, 75. https://doi.org/10.1162/isal_a_00504

Füchslin, R.M. et al. (2022) ‘Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models’, in ALIFE 2022: The 2022 Conference on Artificial Life. Cambridge: MIT Press, p. 75. Available at: https://doi.org/10.1162/isal_a_00504.

R. M. Füchslin et al., “Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models,” in ALIFE 2022: The 2022 Conference on Artificial Life, 2022, p. 75. doi: 10.1162/isal_a_00504.

FÜCHSLIN, Rudolf Marcel, Pius KRÜTLI, Thomas OTT, Stephan SCHEIDEGGER, Johannes Josef SCHNEIDER, Marko SERIC, Timo SMIESZEK und Mathias S. WEYLAND, 2022. Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models. In: ALIFE 2022: The 2022 Conference on Artificial Life. Conference paper. Cambridge: MIT Press. 2022. S. 75

Füchslin, Rudolf Marcel, Pius Krütli, Thomas Ott, Stephan Scheidegger, Johannes Josef Schneider, Marko Seric, Timo Smieszek, and Mathias S. Weyland. 2022. “Minimal Models for Spatially Resolved Population Dynamics : Applications to Coexistence in Multi – Trait Models.” Conference paper. In ALIFE 2022: The 2022 Conference on Artificial Life, 75. Cambridge: MIT Press. https://doi.org/10.1162/isal_a_00504.

Füchslin, Rudolf Marcel, et al. “Minimal Models for Spatially Resolved Population Dynamics : Applications to Coexistence in Multi – Trait Models.” ALIFE 2022: The 2022 Conference on Artificial Life, MIT Press, 2022, p. 75, https://doi.org/10.1162/isal_a_00504.