生殖季节性的进化决定因素:一个理论方法

Lugdiwine Burtschell, Jules Dezeure, Elise Huchard, Bernard Godelle
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摘要

生殖季节性是对季节周期的一种主要适应,不同生物之间差异很大。长期以来,人们一直认为这种变化反映了一种简单的纬度梯度,但由于缺乏理论框架,许多物种对这种变化知之甚少。由于季节周期越来越多地受到气候变化的干扰,更好地了解生殖季节性的生态学可以对气候变化如何影响生物多样性产生重要的见解。本研究的目的是利用一个现实的基于主体的优化模型来模拟雌性黄狒狒的生命周期,研究进化向生殖季节性转变的驱动因素,雌性黄狒狒通常全年繁殖。具体而言,我们测试了三个生态性状(环境季节性、生产力和不可预测性)和三个生活史性状(每日生殖能量消耗、生殖周期长度和婴儿外在死亡率)对生殖季节性强度的影响。为此,我们模拟了不同的生殖物候策略(从非季节性到高季节性),评估了哪些是最优的,并计算了最优策略集的生殖季节性强度。然后,我们在每个感兴趣的性状中诱导变异,并检查它如何影响生殖季节性的强度。我们发现这三种环境特征都有实质性的影响:高繁殖季节性受高环境季节性、低环境生产力和低不可预测性的影响。此外,每日生殖能量消耗高是最有利的。相比之下,生殖周期长度和婴儿的外在死亡率没有影响。我们的建模方法成功地解开了环境季节性、生产力和不可预测性对生殖季节性强度的影响,这可能都有助于产生众所周知的纬度和生殖季节性之间的联系。我们的研究结果进一步强调了生活史节奏对生殖季节性进化的关键重要性。总的来说,这项研究提供了一个强大的理论框架和建模工具,可以应用于整个生活史空间,并为包括人类在内的慢活物种的非季节性繁殖的出现和维持提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary determinants of reproductive seasonality: A theoretical approach
Reproductive seasonality is a major adaptation to seasonal cycles and varies substantially among organisms. This variation, which was long thought to reflect a simple latitudinal gradient, remains poorly understood for many species, in part due to a lacunary theoretical framework. Because seasonal cycles are increasingly disrupted by climate change, a better understanding of the ecology of reproductive seasonality could generate important insights on how climate change may affect biodiversity. The goal of this study was to investigate the drivers of evolutionary transitions towards reproductive seasonality using a realistic agent-based optimisation model simulating the life cycle of a female yellow baboon, who typically breeds year-round. Specifically, we tested the influence of three ecological traits (environmental seasonality, productivity and unpredictability) and three life-history traits (daily reproductive energy expenditure, reproductive cycle length and infant extrinsic mortality) on the intensity of reproductive seasonality. To do so, we simulated diverse reproductive phenology strategies (from non-seasonal to highly seasonal), assessed which were optimal and computed, for the set of optimal strategies, the intensity of reproductive seasonality. We then induced variation in each trait of interest and examined how it affected the intensity of reproductive seasonality. We found substantial effects of all three environmental traits: high reproductive seasonality was favoured by high environmental seasonality, low environmental productivity and low unpredictability. It was further, and most strongly, favoured by high daily reproductive energy expenditure. In contrast, there was no effect of reproductive cycle length and infant extrinsic mortality. Our modelling approach successfully disentangled the effects of environmental seasonality, productivity and unpredictability on the intensity of reproductive seasonality, which likely all contribute to generate the well-known association between latitude and reproductive seasonality. Our results further highlight the critical importance of life history pace on the evolution of reproductive seasonality. Overall, this study contributes a powerful theoretical framework and modelling tool that may apply across the life-history space, as well as sheds new light on the emergence and maintenance of non-seasonal breeding in slow-living species, including humans.
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