Biodiversity Research Centre, University of British Columbia, 6270 University Blvd, Vancouver, British Columbia, V6T 1Z4, Canada.
Mol Ecol. 2013 Aug;22(16):4144-4146. doi: 10.1111/mec.12441.
Migration is widespread among birds, and the strength of the link between the breeding and wintering grounds, migratory connectivity, influences many ecological and evolutionary processes. Despite its importance, migratory connectivity is poorly estimated for most species. Traditionally, visual observations and bird ringing have been used to monitor migration, but these methods require more effort for relatively little return. Genetic markers and stable isotope signatures have increasingly been used to study connectivity. Each approach has its distinct strengths and weaknesses, and as is often the case, a combination may yield the most insight. In this issue of Molecular Ecology, Rundel and colleagues (2013) present a novel Bayesian statistical framework in which genetics and stable isotope data can be combined to improve the assignment of individuals to different winter or breeding regions. The development of such new statistical methods combined with the increasing number and ease of access of isotopic and genetic data sets will greatly enhance our understanding of migratory connectivity. Add to this the developments of miniature devices to track movements of individuals, and the field is destined to make major progression in the decades to come.
迁徙在鸟类中非常普遍,繁殖地和越冬地之间的联系强度,即迁徙连通性,会影响许多生态和进化过程。尽管它很重要,但对于大多数物种来说,迁徙连通性的估计都很差。传统上,视觉观察和鸟类环志一直被用于监测迁徙,但这些方法需要更多的努力,回报却相对较少。遗传标记和稳定同位素特征已越来越多地被用于研究连通性。每种方法都有其独特的优势和劣势,而且通常情况下,结合使用可能会获得最深入的了解。在本期《分子生态学》中,Rundel 及其同事(2013)提出了一种新的贝叶斯统计框架,其中可以结合使用遗传和稳定同位素数据来提高个体在不同越冬或繁殖地区的归属。这种新统计方法的发展,加上越来越多的同位素和遗传数据集的增加和易于获取,将极大地增强我们对迁徙连通性的理解。再加上用于跟踪个体运动的微型设备的发展,该领域注定会在未来几十年取得重大进展。