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DIGITAL.CSIC
Dataset . 2025 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Code and Supplementary Material for: A generalized numerical model for clonal growth in scleractinian coral colonies

Authors: Llabrés, Eva; Re, Eleonora; Pluma, Naira; Sintes, Tomàs; Duarte, Carlos M.;

Code and Supplementary Material for: A generalized numerical model for clonal growth in scleractinian coral colonies

Abstract

Coral reefs, vital ecosystems supporting diverse marine life, are primarily shaped by the clonal expansion of coral colonies. Although the principles of coral clonal growth, involving polyp division for spatial extension, are well-understood, numerical modeling efforts are notably scarce in the literature. In this article, we present a parsimonious numerical model based on the cloning of polyps, utilizing five key parameters to simulate a range of coral shapes. The model is agent-based, where each polyp represents an individual. The colony's surface expansion is dictated by the growth mode parameter (s), guiding the preferred growth direction. Varying s facilitates the emulation of diverse coral shapes, including massive, branching, cauliflower, columnar, and tabular colonies. Additionally, we introduce a novel approach for self-regulatory branching, inspired by the intricate mesh-like canal system and internode regularity observed in Acropora species. Through a comprehensive sensitivity analysis, we demonstrate the robustness of our model, paving the way for future applications that incorporate environmental factors, such as light and water flow. Coral colonies are known for their high plasticity, and understanding how individual polyps interact with each other and their surroundings to create the reef structure has been a longstanding question in the field. This model offers a powerful framework for studying these interactions, enabling a future implementation of environmental factors, and the possibility of identifying the key mechanisms influencing coral colonies’ morphogenesis.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Biological sciences, Numerical models, Coral colonies, Clonal growth

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average