Spatial structure could explain the maintenance of alternative reproductive tactics in tree cricket males.

IF 1.8 4区 生物学 Q3 BIOLOGY Biology Open Pub Date : 2024-06-15 Epub Date: 2024-06-05 DOI:10.1242/bio.060307
Mohammed Aamir Sadiq, Ananda Shikhara Bhat, Vishwesha Guttal, Rohini Balakrishnan
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Abstract

Trait polymorphisms are widespread in nature, and explaining their stable co-existence is a central problem in ecology and evolution. Alternative reproductive tactics, in which individuals of one or more sex exhibit discrete, discontinuous traits in response to reproductive competition, represent a special case of trait polymorphism in which the traits are often complex, behavioural, and dynamic. Thus, studying how alternative reproductive tactics are maintained may provide general insights into how complex trait polymorphisms are maintained in populations. We construct a spatially explicit individual-based model inspired from extensively collected empirical data to address the mechanisms behind the co-existence of three behavioural alternative reproductive tactics in males of a tree cricket (Oecanthus henryi). Our results show that the co-existence of these tactics over ecological time scales is facilitated by the spatial structure of the landscape they inhabit, which serves to equalise the otherwise unequal mating benefits of the three tactics. We also show that this co-existence is unlikely if spatial aspects of the system are not considered. Our findings highlight the importance of spatial dynamics in understanding ecological and evolutionary processes and underscore the power of integrative approaches that combine models with empirical data.

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空间结构可以解释为什么树蟋蟀雄性保持着不同的繁殖策略。
性状多态性在自然界中广泛存在,解释它们的稳定共存是生态学和进化论的一个核心问题。另类繁殖策略是指一种或多种性别的个体为应对繁殖竞争而表现出离散、不连续的性状,它是性状多态性的一个特例,其中的性状往往是复杂的、行为性的和动态的。因此,研究替代性生殖策略是如何维持的,可以为复杂的性状多态性如何在种群中维持提供普遍的见解。我们从广泛收集的经验数据中得到启发,构建了一个基于个体的空间显式模型,以研究树蟋(Oecanthus henryi)雄性个体三种行为替代生殖策略共存背后的机制。我们的研究结果表明,这些策略在生态时间尺度上的共存得益于它们栖息地的空间结构,这种结构可以均衡三种策略原本不平等的交配收益。我们还表明,如果不考虑系统的空间因素,这种共存是不可能的。我们的发现凸显了空间动力学在理解生态和进化过程中的重要性,并强调了将从经验数据中获得的灵感与模型相结合的综合方法的力量。
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来源期刊
Biology Open
Biology Open BIOLOGY-
CiteScore
3.90
自引率
0.00%
发文量
162
审稿时长
8 weeks
期刊介绍: Biology Open (BiO) is an online Open Access journal that publishes peer-reviewed original research across all aspects of the biological sciences. BiO aims to provide rapid publication for scientifically sound observations and valid conclusions, without a requirement for perceived impact.
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