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A multi-agent approach to couple the physiological and ecological level: What factors influence time to sex change?

机译:结合生理和生态水平的多主体方法:哪些因素会影响性别变化的时间?

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摘要

A major challenge in ecological modeling of complex living system, is the integration of different models that describe the same phenomenon at different levels (physiological and ecological levels). The multi-agent paradigm provides an intuitive approach to model and simulate individual metabolism (Dynamic Energy Budget (DEB) model) and sexual behavior (Sex allocation model) and connect them to population-level proprieties. In this work, we model the energetic and sexual behavior of hermaphrodite species to determine the optimal size of sex change. For this purpose, we consider population dynamics and individuals evolutionary traits. Sex change size is seen as an emerging traits from both the set of intra-individual physiological traits, and inter-individual interactions. We develop an evolutionary individual-based model implementing these two models with a simple genetic algorithm to determine the optimal sex change size. The model description follows the ODD (Overview, Design concepts, Details) protocol, it is simulated with NetLogo platform and it is parametrized for Dusky grouper (Epinephelus marginatus). For this hermaphrodite species, both growth and maturation predicted by the model fit well with field observations.
机译:在复杂的生活系统的生态建模中,一个主要的挑战是不同模型的集成,这些模型描述了不同层次(生理和生态层次)上的同一现象。多主体范例提供了一种直观的方法来建模和模拟个体的新陈代谢(动态能量预算(DEB)模型)和性行为(性分配模型),并将它们与人口级别的礼节联系起来。在这项工作中,我们对雌雄同体物种的能量和性行为进行建模,以确定最佳的性别变化幅度。为此,我们考虑人口动态和个体进化特征。从个体内部生理特征和个体间相互作用的角度来看,性别变化的大小被视为一种新兴特征。我们开发了一个基于个体的进化模型,使用简单的遗传算法来实现这两个模型,以确定最佳的性别变化大小。模型描述遵循ODD(概述,设计概念,详细信息)协议,使用NetLogo平台进行仿真,并针对Dusky石斑鱼(Epinephelus marginatus)进行了参数化。对于这种雌雄同体物种,模型预测的生长和成熟都与现场观察非常吻合。

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