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      Wind conditions and geography shape the first outbound migration of juvenile honey buzzards and their distribution across sub-Saharan Africa

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          Abstract

          Contemporary tracking studies reveal that low migratory connectivity between breeding and non-breeding ranges is common in migrant landbirds. It is unclear, however, how internal factors and early-life experiences of individual migrants shape the development of their migration routes and concomitant population-level non-breeding distributions. Stochastic wind conditions and geography may determine whether and where migrants end up by the end of their journey. We tested this hypothesis by satellite-tagging 31 fledgling honey buzzards Pernis apivorus from southern Finland and used a global atmospheric reanalysis model to estimate the wind conditions they encountered on their first outbound migration. Migration routes diverged rapidly upon departure and the birds eventually spread out across 3340 km of longitude. Using linear regression models, we show that the birds' longitudinal speeds were strongly affected by zonal wind speed, and negatively affected by latitudinal wind, with significant but minor differences between individuals. Eventually, 49% of variability in the birds' total longitudinal displacements was accounted for by wind conditions on migration. Some birds circumvented the Baltic Sea via Scandinavia or engaged in unusual downwind movements over the Mediterranean, which also affected the longitude at which these individuals arrived in sub-Saharan Africa. To understand why adult migrants use the migration routes and non-breeding sites they use, we must take into account the way in which wind conditions moulded their very first journeys. Our results present some of the first evidence into the mechanisms through which low migratory connectivity emerges.

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          The NCEP/NCAR 40-Year Reanalysis Project

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            A global, self-consistent, hierarchical, high-resolution shoreline database

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              When and where does mortality occur in migratory birds? Direct evidence from long-term satellite tracking of raptors.

              Information about when and where animals die is important to understand population regulation. In migratory animals, mortality might occur not only during the stationary periods (e.g. breeding and wintering) but also during the migration seasons. However, the relative importance of population limiting factors during different periods of the year remains poorly understood, and previous studies mainly relied on indirect evidence. Here, we provide direct evidence about when and where migrants die by identifying cases of confirmed and probable deaths in three species of long-distance migratory raptors tracked by satellite telemetry. We show that mortality rate was about six times higher during migration seasons than during stationary periods. However, total mortality was surprisingly similar between periods, which can be explained by the fact that risky migration periods are shorter than safer stationary periods. Nevertheless, more than half of the annual mortality occurred during migration. We also found spatiotemporal patterns in mortality: spring mortality occurred mainly in Africa in association with the crossing of the Sahara desert, while most mortality during autumn took place in Europe. Our results strongly suggest that events during the migration seasons have an important impact on the population dynamics of long-distance migrants. We speculate that mortality during spring migration may account for short-term annual variation in survival and population sizes, while mortality during autumn migration may be more important for long-term population regulation (through density-dependent effects). © 2013 The Authors. Journal of Animal Ecology © 2013 British Ecological Society.
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                Author and article information

                Journal
                Proc Biol Sci
                Proc. Biol. Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                31 May 2017
                24 May 2017
                24 May 2017
                : 284
                : 1855
                : 20170387
                Affiliations
                [1 ]Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam , PO Box 94248, 1090 GE Amsterdam, The Netherlands
                [2 ]Vansteelant Eco Research , Dijkgraaf 35, 6721 NJ Bennekom, The Netherlands
                [3 ]Department of Biosciences, University of Helsinki , PO Box 65, 00014 Helsinki, Finland
                [4 ]Bioeconomy Research Team, Novia University of Applied Sciences , 10600 Ekenäs, Finland
                Author notes
                Author information
                http://orcid.org/0000-0002-9447-8587
                Article
                rspb20170387
                10.1098/rspb.2017.0387
                5454264
                28539514
                8020d6b6-566d-4f1c-b30a-15116813d796
                © 2017 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 23 February 2017
                : 2 May 2017
                Categories
                1001
                14
                Behaviour
                Research Article
                Custom metadata
                May 31, 2017

                Life sciences
                bird migration,orientation,weather,behavioural development,satellite-tracking
                Life sciences
                bird migration, orientation, weather, behavioural development, satellite-tracking

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