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Seasonal and population differences in migration of Whimbrels in the East Asian-Australasian Flyway
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Conserving migratory birds is challenging due to their reliance on multiple distant sites at different stages of their annual life cycle. The concept of "flyway", which refers to all areas covered by the breeding, nonbreed- ing, and migrating of birds, provides a framework for international cooperation for conservation. In the same flyway, however, the migratory activities of the same species can differ substantially between seasons and populations. Clarifying the seasonal and population differences in migration is helpful for understanding migration ecology and for identifying conservation gaps.
Using satellite-tracking we tracked the migration of Whimbrels (Numenius phaeopus variegatus) from non- breeding sites at Moreton Bay (MB) and Roebuck Bay (RB) in Australia in the East Asian–Australasian Flyway. Mantel tests were used to analyze the strength of migration connectivity between the nonbreeding and breeding sites of MB and RB populations. Welch's t test was used to compare the migration activities between the two populations and between northward and southward migration.
During northward migration, migration distance and duration were longer for the MB population than for the RB population. The distance and duration of the first leg flight during northward migration were longer for the MB population than for the RB population, suggesting that MB individuals deposited more fuel before departing from nonbreeding sites to support their longer nonstop flight. The RB population exhibited weaker migration connectivity (breeding sites dispersing over a range of 60 longitudes) than the MB population (breeding sites concentrating in a range of 5 longitudes in Far Eastern Russia). Compared with MB population, RB population was more dependent on the stopover sites in the Yellow Sea and the coastal regions in China, where tidal habitat has suffered dramatic loss. However, RB population increased while MB population decreased over the past decades, suggesting that loss of tidal habitat at stopover sites had less impact on the Whimbrel populations, which can use diverse habitat types. Different trends between the populations might be due to the different degrees of hunting pressure in their breeding grounds.
This study highlights that conservation measures can be improved by understanding the full annual life cycle of movements of multiple populations of Whimbrels and probably other migratory birds.
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Seasonal and population differences in migration of Whimbrels in the East Asian-Australasian Flyway
)
Abstract
Conserving migratory birds is challenging due to their reliance on multiple distant sites at different stages of their annual life cycle. The concept of "flyway", which refers to all areas covered by the breeding, nonbreed- ing, and migrating of birds, provides a framework for international cooperation for conservation. In the same flyway, however, the migratory activities of the same species can differ substantially between seasons and populations. Clarifying the seasonal and population differences in migration is helpful for understanding migration ecology and for identifying conservation gaps.
Using satellite-tracking we tracked the migration of Whimbrels (Numenius phaeopus variegatus) from non- breeding sites at Moreton Bay (MB) and Roebuck Bay (RB) in Australia in the East Asian–Australasian Flyway. Mantel tests were used to analyze the strength of migration connectivity between the nonbreeding and breeding sites of MB and RB populations. Welch's t test was used to compare the migration activities between the two populations and between northward and southward migration.
During northward migration, migration distance and duration were longer for the MB population than for the RB population. The distance and duration of the first leg flight during northward migration were longer for the MB population than for the RB population, suggesting that MB individuals deposited more fuel before departing from nonbreeding sites to support their longer nonstop flight. The RB population exhibited weaker migration connectivity (breeding sites dispersing over a range of 60 longitudes) than the MB population (breeding sites concentrating in a range of 5 longitudes in Far Eastern Russia). Compared with MB population, RB population was more dependent on the stopover sites in the Yellow Sea and the coastal regions in China, where tidal habitat has suffered dramatic loss. However, RB population increased while MB population decreased over the past decades, suggesting that loss of tidal habitat at stopover sites had less impact on the Whimbrel populations, which can use diverse habitat types. Different trends between the populations might be due to the different degrees of hunting pressure in their breeding grounds.
This study highlights that conservation measures can be improved by understanding the full annual life cycle of movements of multiple populations of Whimbrels and probably other migratory birds.
References(59)
Aharon-Rotman Y, Gosbell K, Minton C, Klaassen M. Why fly the extra mile? Latitudinal trend in migratory fuel deposition rate as driver of trans-equatorial long-distance migration. Ecol Evol. 2016;6:6616-24.
Alerstam T, Hedenström A, Åkesson S. Long-distance migration: evolution and determinants. Oikos. 2003;103:247-60.
Alves JA, Dias MP, Méndez V, Katrínardóttir B, Gunnarsson TG. Very rapid long-distance sea crossing by a migratory bird. Sci Rep. 2016;6:38154.
Ambrosini R, Møller AP, Saino N. A quantitative measure of migratory connectivity. J Theor Biol. 2009;57:203-11.
Bai QQ, Chen JZ, Chen ZH, Dong GT, Dong JT, Dong WX, et al. Identification of coastal wetlands of international importance for waterbirds: a review of China Coastal Waterbird Surveys 2005‒2013. Avian Res. 2015;6:12.
Battley PF, Warnock N, Tibbitts TL, Gill RE, Piersma T, Hassell CJ, et al. Contrasting extreme long-distance migration patterns in bar-tailed godwits Limosa lapponica. J Avian Biol. 2012;43:21-32.
Bishop KD. Shorebirds in New Guinea: their status, conservation and distribution. Stilt. 2006;50:103-34.
Briedis M, Hahn S, Gustafsson L, Henshaw I, Träff J, Král M, et al. Breeding latitude leads to different temporal but not spatial organization of the annual cycle in a long-distance migrant. J Avian Biol. 2016;47:743-8.
Carneiro C, Gunnarsson TG, Alves JA. Faster migration in autumn than in spring: seasonal migration patterns and non-breeding distribution of Icelandic Whimbrels Numenius phaeopus islandicus. J Avian Biol. 2019;50:e01938.
Choi CY, Rogers KG, Gan XJ, Clemens RS, Bai QQ, Lilleyman A, et al. Phenology of southward migration of shorebirds in the East Asian-Australasian Flyway and inferences about stop-over strategies. Emu. 2016;116:178-89.
Coleman JT, Milton DA, Hitoshi A. The migratory movements of Grey-tailed Tattler Tringa brevipes from Moreton Bay. Stilt. 2018;72:2-8.
Conklin JR, Battley PF, Potter MA, Fox JW. Breeding latitude drives individual schedules in a trans-hemispheric migrant bird. Nat Commun. 2013;1:67.
Conklin JR, Lok T, Melville DS, Riegen AC, Schuckard R, Piersma T, et al. Declining adult survival of New Zealand Bar-tailed Godwits during 2005-2012 despite apparent population stability. Emu. 2016;116:147-57.
Dray S, Dufour AB. The ade4 package: implementing the duality diagram for ecologists. J Stat Softw. 2007;22:1-20.
Gerasimov Y, Tiunov I, Matsyna A, Tomida H, Bukhalova A. Waders southward migration studies on west Kamchatka. Stilt. 2018;72:9-14.
Gill RE, Douglas DC, Handel CM, Tibbitts TL, Hufford G, Piersma T. Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific. Anim Behav. 2014;90:117-30.
Giunchi D, Baldaccini NE, Lenzoni A, Luschi P, Sorrenti M, Cerritelli G, et al. Spring migratory routes and stopover duration of satellite-tracked Eurasian Teals Anas crecca wintering in Italy. Ibis. 2019;161:117-30.
Hewson CM, Thorup K, Pearce-Higgins JW, Atkinson PW. Population decline is linked to migration route in the common cuckoo. Nat Commun. 2016;7:12296.
Hobson KA, Jehl JR Jr. Arctic waders and the capital-income continuum: further tests using isotopic contrasts of egg components. J Avian Biol. 2010;41:565-72.
Hua N, Piersma T, Ma ZJ. Three-phase fuel deposition in a long-distance migrant, the red knot (Calidris canutus piersmai), before the flight to High Arctic breeding grounds. PLoS ONE. 2013;8:e62551.
Hua N, Tan K, Chen Y, Ma ZJ. Key research issues concerning the conservation of migratory shorebirds in the Yellow Sea region. Bird Conserv Int. 2015;25:38-52.
Johnson AS, Perz J, Nol E, Senner NR. Dichotomous strategies? The migration of Whimbrels breeding in the eastern Canadian sub-Arctic. J Field Ornithol. 2016;87:371-83.
Khlokov K, Gerasimov Y, Syroechkovskiy E. First attempt to evaluate hunting pressure on shorebirds in Kamchatka: progress report. Spoon-billed Sandpiper Task Force News Bull. 2020;22:31-4.
Kölzsch A, Müskens GJDM, Kruckenberg H, Glazov P, Weinzierl R, Nolet BA, et al. Towards a new understanding of migration timing: slower spring than autumn migration in geese reflects different decision rules for stopover use and departure. Oikos. 2016;125:496-507.
Kuang FL, Wu W, Ke WJ, Ma Q, Chen WP, Feng XS, et al. Habitat use by migrating Whimbrels (Numenius phaeopus) as determined by bio-tracking at a stopover site in the Yellow Sea. J Ornithol. 2019;160:1109-19.
Lindström Å. Migration tracks of waders: avoiding the pitfalls of speed estimates and inferred strategies. Wader Study. 2020;127:2-3.
Livezey BC. Phylogenetics of modern shorebirds (Charadriiformes) based on phenotypic evidence: analysis and discussion. Zool J Linn Soc. 2010;160:567-618.
Ma ZJ, Hua N, Zhang X, Guo HQ, Zhao B, Ma Q, et al. Wind conditions affect stopover decisions and fuel stores of shorebirds migrating through the south Yellow Sea. Ibis. 2011;153:755-67.
Ma ZJ, Cheng YX, Wang JY, Fu XH. The rapid development of birdwatching in mainland China: a new force for bird study and conservation. Bird Conserv Int. 2013a;23:259-69.
Ma ZJ, Hua N, Peng HB, Choi CY, Battley PF, Zhou QY, et al. Differentiating between stopover and staging sites: functions of the southern and northern Yellow Sea for long-distance migratory shorebirds. J Avian Biol. 2013b;44:504-12.
Melville DS, Chen Y, Ma ZJ. Shorebirds along the Yellow Sea coast of China face an uncertain future: a review of threats. Emu. 2016;116:100-10.
Minton C, Wahl J, Jessop R, Hassell C, Collins P, Gibbs H. Migration routes of waders which spend the non-breeding season in Australia. Stilt. 2006;50:135-57.
Minton C, Gosbell K, Johns P, Christie M, Klaassen M, Hassell C, et al. Geolocator studies on Ruddy Turnstones Arenaria interpres and Greater Sandplovers Charadrius leschenaultii in the East Asian-Australasia Flyway reveal widely different migration strategies. Wader Study Group Bull. 2011;118:87-96.
Newton I. The migration ecology of birds. London: Academic Press; 2008.
Nilsson C, Klaassen RHG, Alerstam T. Differences in speed and duration of bird migration between spring and autumn. Am Nat. 2013;181:837-45.
Piersma T, Lok T, Chen Y, Hassell C, Yang HY, Boyle A, et al. Simultaneous declines in summer survival of three shorebird species signals a flyway at risk. J Appl Ecol. 2016;53:479-90.
Rogers DI, Hassell CJ, Boyle A, Gosbell K, Minton C, Rogers KG, et al. Shorebirds of the Kimberley Coast—populations, key sites, trends and threats. J R Soc West Aust. 2011;94:377-91.
Rogers DI, Scroggie MP, Hassell CJ. Long-term monitoring of shorebirds in north Western Australia. Arthur Rylah Institute for Environmental Research, Technical Report 313; 2019.
Schmaljohann H. Proximate mechanisms affecting seasonal differences in migration speed of avian species. Sci Rep. 2018;8:4106.
Schuckard R, Huettmann F, Gosbell K, Geale J, Kendal S, Gerasimov Y, et al. Shorebird and gull census at Moroshechnaya Estuary, Kamchatka, Far East Russia, during August 2004. Stilt. 2006;50:34-46.
Shamoun-Baranes J, Liechti F, Vansteelant WMG. Atmospheric conditions create freeways, detours and tailbacks for migrating birds. J Comp Physiol A. 2017;203:509-29.
Studds CE, Kendall BE, Murray NJ, Wilson HB, Rogers DI, Clemens RS, et al. Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites. Nat Commun. 2017;8:14895.
Wang Y, Yu Y, Zhang Y, Zhang HR, Chai F. Distribution and variability of sea surface temperature fronts in the south China sea. Estuar Coast Shelf Sci. 2020;240:106793.
Wilson HB, Kendall BE, Fuller RA, Milton DA, Possingham HP. Analyzing variability and the rate of decline of migratory shorebirds in Moreton Bay, Australia. Conserv Biol. 2011;25:758-66.
Zhao M, Christie M, Coleman J, Hassell C, Gosbell K, Lisovski S, et al. Time versus energy minimization migration strategy varies with body size and season in long-distance migratory shorebirds. Mov Ecol. 2017;5:23.
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Acknowledgements
This paper owes a great debt to the late Clive Minton for his great contribution to shorebird study and conservation. We thank the Australasian Wader Studies Group, Queensland Wader Study Group, and the Northwest Australia Expedition 2018 team for their support for fieldwork. We appreciate Roz Jessop, Michael Dawkins, Prue Wright, Robert Bush, Brad Woodworth, Chi-Yeung Choi, Bingrun Zhu and many other volunteers for their assistance in the fieldwork. AWSG acknowledges the Yawuru People via the offices of Nyamba Buru Yawuru Limited for permission to catch birds on the shores of Roebuck Bay, traditional lands of the Yawuru people. CJH thanks his funders, WWF Netherlands, Spinoza Premium of Netherlands Organisation Prize for Scientific Research to Theunis Piersma and MAVA (Foundation Pour La Nature). The authors also wish to acknowledge the support of the Australian Bird and Bat Banding Scheme (ABBBS) for the provision of Banding licenses and bands to the A-Class banders involved in this research. We thank two anonymous reviewers for their comments and suggestions on an earlier version of the manuscript.
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