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首页> 外文期刊>Ecological Modelling >Trade-offs between time, predation risk and life history, and their implications for biogeography: A systems modelling approach with a primate case study
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Trade-offs between time, predation risk and life history, and their implications for biogeography: A systems modelling approach with a primate case study

机译:时间,捕食风险和生活史及其对生物地理学的影响之间的取舍:一种系统建模方法,带有灵长类动物案例研究

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Group sizes are often considered to be the result of a trade-off between predation risk and the costs of feeding competition. We develop a model to explore the interaction between different ecological constraints on group sizes, using a primate (baboons) case study. The model uses climatic correlates of time budgets to predict maximum ecologically tolerable group size, and climatic predictors of predation risk (reflected mainly in predator density and female body mass) to predict minimum tolerable group size for any given habitat. As well as defining the range of sustainable group sizes for a given habitat, the model also allows us to reliably predict our exemplar taxon's biogeographical distribution across Africa. We also explore the life history implications of the model to ask whether baboons form group sizes which maximise survival or fecundity in the classic trade off between these two key life history variables. Our results indicate that, within the range of study sites in our sample, baboons prefer to maximise fecundity. However, the data indicate that in higher predation risk habitats they would switch to maximising survival at the expense of fecundity. We argue that this is due to the fact that interbirth interval and developmental rates have a ceiling that cannot be breached. Thus, while females can shorten interbirth intervals to compensate for increased predation risk, there is a limit to how much these life history variables can be altered, and when this is reached the best strategy is to maximise survivorship.
机译:群体规模通常被认为是在捕食风险和喂养竞争成本之间进行权衡的结果。我们使用灵长类动物(狒狒)案例研究,开发了一个模型来探索群体规模上不同生态约束之间的相互作用。该模型使用时间预算的气候相关性来预测最大的生态可容忍种群规模,并使用捕食风险的气候预测因子(主要反映在掠食者密度和雌性体重上)来预测任何给定栖息地的最小可耐受种群规模。除了定义给定栖息地的可持续群体规模范围外,该模型还使我们能够可靠地预测示例性分类单元在非洲的生物地理分布。我们还探索了该模型对生命史的影响,以询问狒狒是否会形成群体规模,从而在这两个关键的生命史变量之间进行经典权衡,从而使生存或繁殖力最大化。我们的结果表明,在我们样本的研究地点范围内,狒狒更喜欢最大化繁殖力。但是,数据表明,在具有更高捕食风险的栖息地中,它们将以牺牲繁殖力为代价,转向最大化生存。我们认为这是由于生育间隔和发育率有一个不可突破的上限这一事实。因此,尽管雌性可以缩短生育间隔以补偿增加的捕食风险,但是这些生活史变量可以改变多少是有限制的,当达到这一目标时,最佳策略是最大限度地提高生存率。

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