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Estimating migratory connectivity of birds when re‐encounter probabilities are heterogeneous

机译:当重遇概率异质时估计鸟类的迁徙连通性

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AbstractUnderstanding the biology and conducting effective conservation of migratory species requires an understanding of migratory connectivity – the geographic linkages of populations between stages of the annual cycle. Unfortunately, for most species, we are lacking such information. The North American Bird Banding Laboratory (BBL) houses an extensive database of marking, recaptures and recoveries, and such data could provide migratory connectivity information for many species. To date, however, few species have been analyzed for migratory connectivity largely because heterogeneous re-encounter probabilities make interpretation problematic. We accounted for regional variation in re-encounter probabilities by borrowing information across species and by using effort covariates on recapture and recovery probabilities in a multistate capture–recapture and recovery model. The effort covariates were derived from recaptures and recoveries of species within the same regions. We estimated the migratory connectivity for three tern species breeding in North America and over-wintering in the tropics, common (Sterna hirundo), roseate (Sterna dougallii), and Caspian terns (Hydroprogne caspia). For western breeding terns, model-derived estimates of migratory connectivity differed considerably from those derived directly from the proportions of re-encounters. Conversely, for eastern breeding terns, estimates were merely refined by the inclusion of re-encounter probabilities. In general, eastern breeding terns were strongly connected to eastern South America, and western breeding terns were strongly linked to the more western parts of the nonbreeding range under both models. Through simulation, we found this approach is likely useful for many species in the BBL database, although precision improved with higher re-encounter probabilities and stronger migratory connectivity. We describe an approach to deal with the inherent biases in BBL banding and re-encounter data to demonstrate that this large dataset is a valuable source of information about the migratory connectivity of the birds of North America.
机译:摘要理解生物学并有效地保护迁徙物种需要了解迁徙连通性-一年周期各阶段之间人口的地理联系。不幸的是,对于大多数物种,我们缺乏此类信息。北美鸟类带状实验室(BBL)拥有一个广泛的标记,捕获和回收数据库,这些数据可以为许多物种提供迁徙连通性信息。然而,到目前为止,很少有物种对迁徙连通性进行过分析,这在很大程度上是因为异种的相遇概率使解释成为问题。我们通过借用跨物种的信息,并在多州捕获-捕获和恢复模型中使用捕获和恢复概率的协变量来解决重新遇到概率的区域差异。努力协变量来自相同区域内物种的捕获和回收。我们估计了北美三种燕鸥物种的迁徙连通性,并在热带,普通燕鸥(Sterna hirundo),玫瑰酸盐燕鸥(Sterna dougallii)和里海燕鸥(Hydroprogne caspia)中过冬。对于西方的繁殖燕鸥,模型得出的迁徙连通性估计与直接从再遇到的比例直接得出的估计有很大不同。相反,对于东部繁殖燕鸥,估计值只是通过包含相遇概率来完善。通常,在两种模式下,东部繁殖燕鸥与南美洲东部紧密相连,而西部繁殖燕鸥与非繁殖范围的较西部部分紧密相关。通过仿真,我们发现这种方法可能对BBL数据库中的许多物种有用,尽管通过重新遇到的概率更高和迁移连接性更高的方式,精度也得到了提高。我们描述了一种方法来处理BBL条带中的固有偏差并重新遇到数据,以证明此大型数据集是有关北美鸟类迁徙连通性的有价值信息来源。

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