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Modelling the Progression of Bird Migration with Conditional Autoregressive Models Applied to Ringing Data

机译:使用有条件的自回归模型对振铃数据建模鸟类迁徙的进展

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摘要

Migration is a fundamental stage in the life history of several taxa, including birds, and is under strong selective pressure. At present, the only data that may allow for both an assessment of patterns of bird migration and for retrospective analyses of changes in migration timing are the databases of ring recoveries. We used ring recoveries of the Barn Swallow Hirundo rustica collected from 1908–2008 in Europe to model the calendar date at which a given proportion of birds is expected to have reached a given geographical area (‘progression of migration’) and to investigate the change in timing of migration over the same areas between three time periods (1908–1969, 1970–1990, 1991–2008). The analyses were conducted using binomial conditional autoregressive (CAR) mixed models. We first concentrated on data from the British Isles and then expanded the models to western Europe and north Africa. We produced maps of the progression of migration that disclosed local patterns of migration consistent with those obtained from the analyses of the movements of ringed individuals. Timing of migration estimated from our model is consistent with data on migration phenology of the Barn Swallow available in the literature, but in some cases it is later than that estimated by data collected at ringing stations, which, however, may not be representative of migration phenology over large geographical areas. The comparison of median migration date estimated over the same geographical area among time periods showed no significant advancement of spring migration over the whole of Europe, but a significant advancement of autumn migration in southern Europe. Our modelling approach can be generalized to any records of ringing date and locality of individuals including those which have not been recovered subsequently, as well as to geo-referenced databases of sightings of migratory individuals.
机译:迁移是包括鸟类在内的几种生物的生命史中的一个基本阶段,并且处于强大的选择性压力之下。目前,唯一可同时评估鸟类迁徙模式和追溯分析迁徙时间变化的数据是环回收数据库。我们使用了从1908年至2008年在欧洲收集的谷仓燕子Hirundo Rustica的环回收率,以模拟日历中给定比例的鸟类已到达给定地理区域的日期(“迁徙进度”)并调查了变化在三个时间段(1908-1969年,1970-1990年,1991-2008年)期间同一地区的迁徙时间。使用二项式条件自回归(CAR)混合模型进行了分析。我们首先关注不列颠群岛的数据,然后将模型扩展到西欧和北非。我们绘制了迁徙进展图,揭示了局部迁徙模式,该模式与对有环带个体的运动进行分析所获得的模式一致。根据我们的模型估算的迁徙时间与文献中有关燕子迁徙物候的数据相一致,但在某些情况下,它比在振铃台收集的数据估算的时间晚,但是,这可能不代表迁徙较大地理区域的物候学。在同一时间段内估计的同一时期内的迁徙中位数的比较表明,整个欧洲春季迁徙没有显着进展,但南欧秋季迁徙有显着进展。我们的建模方法可以推广到个人的响铃日期和地点的任何记录,包括后来没有恢复的记录,以及到迁徙者目击的地理参考数据库。

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