Department of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada.
Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, M1C 1A4, Canada.
Ecol Lett. 2015 Jun;18(6):526-34. doi: 10.1111/ele.12432. Epub 2015 Mar 29.
Migratory animals present a unique challenge for understanding the consequences of habitat loss on population dynamics because individuals are typically distributed over a series of interconnected breeding and non-breeding sites (termed migratory network). Using replicated breeding and non-breeding populations of Drosophila melanogaster and a mathematical model, we investigated three hypotheses to explain how habitat loss influenced the dynamics of populations in networks with different degrees of connectivity between breeding and non-breeding seasons. We found that habitat loss increased the degree of connectivity in the network and influenced population size at sites that were not directly connected to the site where habitat loss occurred. However, connected networks only buffered global population declines at high levels of habitat loss. Our results demonstrate why knowledge of the patterns of connectivity across a species range is critical for predicting the effects of environmental change and provide empirical evidence for why connected migratory networks are commonly found in nature.
迁徙动物对理解栖息地丧失对种群动态的影响构成了独特的挑战,因为个体通常分布在一系列相互连接的繁殖和非繁殖地点(称为迁徙网络)。本研究使用重复的黑腹果蝇繁殖和非繁殖种群以及一个数学模型,调查了三个假设,以解释栖息地丧失如何影响不同繁殖和非繁殖季节之间连通性程度的网络中种群的动态。研究发现,栖息地丧失增加了网络的连通性,并影响了与发生栖息地丧失的地点没有直接连接的地点的种群规模。然而,连通网络仅在高栖息地丧失水平下缓冲了全球种群的减少。研究结果表明了为什么了解物种范围内的连通模式对于预测环境变化的影响至关重要,并为为什么在自然界中常见连接的迁徙网络提供了经验证据。