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A case study of bats and white-nose syndrome demonstrating how to model population viability with evolutionary effects

机译:蝙蝠和白鼻综合症的案例研究,展示了如何通过进化效应对种群生存能力进行建模

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摘要

Ecological factors generally affect population viability on rapid time scales. Traditional population viability analyses (PVA) therefore focus on alleviating ecological pressures, discounting potential evolutionary impacts on individual phenotypes. Recent studies of evolutionary rescue (ER) focus on cases in which severe, environmentally induced population bottlenecks trigger a rapid evolutionary response that can potentially reverse demographic threats. ER models have focused on shifting genetics and resulting population recovery, but no one has explored how to incorporate those findings into PVA. We integrated ER into PVA to identify the critical decision interval for evolutionary rescue (DIER) under which targeted conservation action should be applied to buffer populations undergoing ER against extinction from stochastic events and to determine the most appropriate vital rate to target to promote population recovery. We applied this model to little brown bats (Myotis lucifugus) affected by white-nose syndrome (WNS), a fungal disease causing massive declines in several North American bat populations. Under the ER scenario, the model predicted that the DIER period for little brown bats was within 11 years of initial WNS emergence, after which they stabilized at a positive growth rate ( = 1.05). By comparing our model results with population trajectories of multiple infected hibernacula across the WNS range, we concluded that ER is a potential explanation of observed little brown bat population trajectories across multiple hibernacula within the affected range. Our approach provides a tool that can be used by all managers to provide testable hypotheses regarding the occurrence of ER in declining populations, suggest empirical studies to better parameterize the population genetics and conservation-relevant vital rates, and identify the DIER period during which management strategies will be most effective for species conservation.
机译:生态因素通常会迅速影响人口的生存能力。因此,传统的种群生存力分析(PVA)着重于减轻生态压力,消除对个体表型的潜在进化影响。进化救援(ER)的最新研究集中在严重的,环境导致的人口瓶颈引发快速的进化反应的情况下,这种反应可能会逆转人口威胁。 ER模型的重点是遗传学的转移和种群的恢复,但是没有人探索如何将这些发现纳入PVA。我们将ER整合到PVA中,以确定进化救援的关键决策间隔(DIER),在此间隔下,应采取有针对性的保护行动,以缓冲经历ER的种群免受随机事件的灭绝,并确定最合适的生命率,以促进种群恢复。我们将此模型应用于受白鼻综合症(WNS)影响的小棕蝙蝠(Myotis lucifugus),这是一种真菌疾病,导致北美数个蝙蝠种群大量减少。在ER情景下,该模型预测,小棕蝙蝠的DIER期在WNS最初出现后的11年内,此后它们稳定在正增长率(= 1.05)。通过将我们的模型结果与WNS范围内多个被感染的冬眠虫的种群轨迹进行比较,我们得出结论,ER是在受影响范围内观察到的多个蝙蝠虫上几乎没有棕蝙蝠种群轨迹的潜在解释。我们的方法提供了一种工具,所有管理人员都可以使用该工具来提供有关人口下降中ER发生的可验证假设,建议进行实证研究以更好地参数化种群遗传学和与保护相关的生命率,并确定管理策略期间的DIER时期将最有效地保护物种。

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