School of Biological Sciences, University of Reading, Whiteknights, PO Box 217, Reading, Berkshire, RG6 6AH, UK.
Syngenta, Jealott's Hill International Research Centre, Bracknell, Berkshire, RG42 6EY, UK.
Oecologia. 2020 Jun;193(2):249-259. doi: 10.1007/s00442-020-04638-4. Epub 2020 Apr 6.
Dispersal is a key process affecting population persistence and major factors affecting dispersal rates are the amounts, connectedness and properties of habitats in landscapes. We present new data on the butterfly Maniola jurtina in flower-rich and flower-poor habitats that demonstrates how movement and behaviour differ between sexes and habitat types, and how this effects consequent dispersal rates. Females had higher flight speeds than males, but their total time in flight was four times less. The effect of habitat type was strong for both sexes, flight speeds were ~ 2.5 × and ~ 1.7 × faster on resource-poor habitats for males and females, respectively, and flights were approximately 50% longer. With few exceptions females oviposited in the mown grass habitat, likely because growing grass offers better food for emerging caterpillars, but they foraged in the resource-rich habitat. It seems that females faced a trade-off between ovipositing without foraging in the mown grass or foraging without ovipositing where flowers were abundant. We show that taking account of habitat-dependent differences in activity, here categorised as flight or non-flight, is crucial to obtaining good fits of an individual-based model to observed movement. An important implication of this finding is that incorporating habitat-specific activity budgets is likely necessary for predicting longer-term dispersal in heterogeneous habitats, as habitat-specific behaviour substantially influences the mean (> 30% difference) and kurtosis (1.4 × difference) of dispersal kernels. The presented IBMs provide a simple method to explicitly incorporate known activity and movement rates when predicting dispersal in changing and heterogeneous landscapes.
扩散是影响种群持续存在的关键过程,影响扩散率的主要因素是景观中栖息地的数量、连通性和特性。我们提供了关于富含花朵和花朵稀少栖息地中蝴蝶 Maniola jurtina 的新数据,这些数据表明了性别和栖息地类型如何影响运动和行为的差异,以及这如何影响随后的扩散率。雌性的飞行速度高于雄性,但飞行总时间却少了四倍。栖息地类型对两性的影响都很强,雄性和雌性在资源匮乏的栖息地的飞行速度分别快了约 2.5 倍和 1.7 倍,飞行时间大约延长了 50%。除了少数例外,雌性都在割草栖息地产卵,这可能是因为生长中的草为刚孵化的毛毛虫提供了更好的食物,但它们在资源丰富的栖息地觅食。似乎雌性在不进行割草地觅食而产卵和在有大量花朵的地方觅食而不产卵之间面临着权衡。我们表明,考虑到与栖息地相关的活动差异(这里分类为飞行或非飞行)对于获得个体基础模型对观察到的运动的良好拟合至关重要。这一发现的一个重要含义是,在异质栖息地中预测长期扩散时,可能需要纳入特定栖息地的活动预算,因为特定栖息地的行为会极大地影响扩散核的均值(差异大于 30%)和峰态(差异 1.4 倍)。所提出的 IBM 提供了一种简单的方法,可在变化和异质景观中预测扩散时,明确纳入已知的活动和移动率。