昆士兰小红飞狐种群动态的元种群模型

Daniel N. R. Longmuir, A. Hoskins, R. Hickson
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引用次数: 0

摘要

字体小红飞狐(学名:Pteropus scapulatus)原产于澳大利亚北部和东部的大片沿海地区。这个物种的主要食物来源是桉树和山茱萸花的花蜜。人们对它们的栖息地点(称为“营地”)和运动只有部分了解,它们在开花事件和营地之间是半游牧性质的。这给小红飞狐的种群建模带来了复杂性。然而,通过汇总数据,包括每月对花蜜可用性的空间估计,我们可以开始了解蝙蝠是如何随着这些事件而移动的。为了研究种群动态,我们使用了一个元种群模型,通过一个营地之间移动的辐射模型耦合了平均每月花蜜可用性的空间数据。我们使用基于已知营地位置的Voronoi图耦合了大约1 × 1km的空间花蜜数据。然后,辐射模型综合考虑了营地距离和花蜜的可用性,以确定离开蝙蝠的地方。我们使用密度和热量需求相结合的方法来限制一小块区域的人口。我们将我们的模型人口与人口估计的历史营地调查数据进行比较。我们展示了这个相对简单的元种群模型的结果与生态学家的观察一致,特别是在幼崽季节的运动和斑块数量方面。我们展示了两个感兴趣的地区,横跨约克角和布里斯班周围的地区,预计季节性趋势将有很大不同。这种基于花蜜可得性的元种群模型将为进一步探索传染病风险(如亨德拉病或钩端螺旋体病)的工作奠定基础。我们的模型可以扩展到考虑其他资源的时空可用性,如淡水、植被覆盖和其他环境因素(温度、湿度、干旱等)。
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A metapopulation model of Little Red Flying Fox population dynamics across Queensland
: The Little Red Flying Fox ( Pteropus scapulatus ) is native to large coastal areas of northern and eastern Australia. A primary food source for this species is the nectar from Eucalyptus and Corymbia blossoms. There is only partial understanding of their roosting locations (known as “camps”) and movement, being semi-nomadic in nature to move between flowering events and camps. This creates a complexity in modelling the Little Red Flying Fox population. However, through stacked data including monthly spatial estimates of nectar availability, we can begin to understand how the bats move with these events. To investigate the population dynamics, we use a metapopulation model, coupling the spatial data of average monthly nectar availability through a radiation model for movement between camps. We couple the approximately 1 × 1km spatial nectar data using Voronoi diagrams based on known camp locations. The radiation model then considers a combination of camp distance and nectar availability to determine which patch leaving bats move to. We use a combination of density and caloric needs approach to limit the population in a patch. We compare our modelled population with historic camp survey data of population estimates. We show this relatively simple metapopulation model results in emergent behaviour aligned with the observation of ecologists, particularly to do with movement and patch numbers around pupping season. We showcase two areas of interest, regions across Cape Yorke and around Brisbane, where seasonal trends are expected to be substantially different. This metapopulation model based on nectar availability will form the basis of further work exploring infectious diseases risks, such as Hendra or Leptospirosis. Our model can be extended to consider the spatio-temporal availability of other resources, such as fresh water, vegetation coverage, and other environmental factors (temperature, humidity, aridity, etc.).
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