Find research datasets worth reusing

opencc-by-4.0Dec 2021View details →

Data from: Hidden in plain sight: migration routes of the elusive Anadyr bar-tailed godwit revealed by satellite tracking

Abstract Satellite and GPS tracking technology continues to reveal new migration patterns of birds which enables comparative studies of migration strategies and distributional information useful in conservation. Bar-tailed godwits in the East Asian–Australasian Flyway Limosa lapponica baueri and L. l. menzbieri are known for their long non-stop flights, however these populations are in steep decline. A third subspecies in this flyway, L. l. anadyrensis, breeds in the Anadyr River basin, Chukotka, Russia, and is morphologically distinct from menzbieri and baueri based on comparison of museum specimens collected from breeding areas.  However,  the  non-breeding  distribution, migration route and population size of anadyrensis are entirely unknown. Among 24 female bar-tailed godwits tracked in 2015–2018 from northwest Australia, the main non-breeding area for menzbieri, two birds migrated further east than the rest to breed in the Anadyr River basin, i.e. they belonged to the anadyrensis subspecies. During pre-breeding migration, all birds staged in the Yellow Sea and then flew to the breeding grounds in the eastern Russian Arctic. After breeding, these two birds migrated southwestward to stage in Russia on the Kamchatka Peninsula and on Sakhalin Island en route to the Yellow Sea. This contrasts with the other 22 tracked godwits that followed the previously described route of menzbieri, i.e. they all migrated northwards to stage in the New Siberian Islands before turning south towards the Yellow Sea, and onwards to northwest Australia. Since the Kamchatka Peninsula was not used by any of the tracked menzbieri birds, the 4 500 godwits counted in the Khairusova–Belogolovaya estuary in western Kamchatka may well be anadyrensis. Comparing migration patterns across the three bar-tailed godwits subspecies, the migration strategy of anadyrensis lies between that of menzbieri and baueri. Future investigations combining migration tracks with genomic data could reveal how differences in migration routines are evolved and maintained.   Data set Stopping sites and migration timing of satellite-tracked bar-tailed godwits in the East Asian-Australasian Flyway file name: Chan et al. 2022 BARG_Stops_Timing.xlsx The sheet 'stopping_sites' contains stopping sites of bar-tailed godwits tracked with solar Argos satellite transmitters, and their respective arrival and departure times at each site. The sheet 'timing' contains departure and arrival times at the non-breeding and breeding sites in 2017. The transmitters were deployed in Roebuck Bay and Eighty Mile Beach, Australia, and were operating on an 8 h on and 25 h off duty cycle.    Measurements of satellite-tracked bar-tailed godwits in the East Asian-Australasian Flyway file name: Chan et al. 2022 BARG_measurements.csv The datafile contains bill, wing and tarsus lengths and sex of bar-tailed godwits tracked with solar Argos satellite transmitters. The birds were captured in Roebuck Bay and Eighty Mile Beach, Australia.    Journal Article Chan, Y.-C., Tibbitts, T. L., Dorofeev, D., Hassell, C. J. and Piersma T. (2022) Hidden in plain sight: migration routes of the elusive Anadyr bar-tailed godwit revealed by satellite tracking. J Avian Biol e02988. <a href="https://doi.org/10.1111/jav.02920">https://doi.org/10.1111/jav.02988</a>

opencc-by-4.0Jun 2022View details →

Рис. 3. Остров ЗавьяΛова, виΑ от п-ова Старицкого Fig. 3. Zavyalov island, a view from Staritsky Peninsula in Brown bear (Ursus arctos) of Zavyalov Island (Sea of Okhotsk): Abundance and possible migration routes

Рис. 3. Остров ЗавьяΛова, виΑ от п-ова Старицкого Fig. 3. Zavyalov island, a view from Staritsky Peninsula

opencc-by-4.0Jun 2022View details →

Рис. 1. Αиния маршрута; цифры — места, гΑе быΛи отмечены особи бурого меΑвеΑя во время учетов с вертоΛета 22.05.2018. РезуΛьтаты учетов бурого меΑвеΑя на о. ЗавьяΛова с вертоΛета «Еврокоптер 120». 11:55 выΛет с нефтепирса г. МагаΑана, 12:14 поΑΛет к острову, 12:20 (1) отмечен первый моΛоΑой меΑвеΑь на террасе, 12:52 (2) отмечен оΑин взросΛый меΑвеΑь, 13:06 (3, 4) отмечены Αва взросΛых меΑвеΑя, 13:08 (5, 6, 7) отмечены три взросΛых меΑвеΑя, 13:18 (8) отмечен оΑин взросΛый меΑвеΑь. 13:56 переΛет в гороΑ МагаΑан Fig. 1. Route line; the figures indicate areas where brown bears were seen during the helicopter surveys on 22 May 2018. The results of the brown bear surveys on Zavyalov island from the Eurocopter 120 helicopter. 11:55 departure from the oil pier of Magadan, 12:14 hovering near the island, 12:20 (1) the first young bear identified on the terrace, 12:52 (2) one adult bear identified, 13:06 (3, 4) two adult bears identified, 13:08 (5, 6, 7) three adult bears identified, 13:18 (8) one adult bear identified, 13:56 Flight to Magadan in Brown bear (Ursus arctos) of Zavyalov Island (Sea of Okhotsk): Abundance and possible migration routes

Рис. 1. Αиния маршрута; цифры — места, гΑе быΛи отмечены особи бурого меΑвеΑя во время учетов с вертоΛета 22.05.2018. РезуΛьтаты учетов бурого меΑвеΑя на о. ЗавьяΛова с вертоΛета «Еврокоптер 120». 11:55 выΛет с нефтепирса г. МагаΑана, 12:14 поΑΛет к острову, 12:20 (1) отмечен первый моΛоΑой меΑвеΑь на террасе, 12:52 (2) отмечен оΑин взросΛый меΑвеΑь, 13:06 (3, 4) отмечены Αва взросΛых меΑвеΑя, 13:08 (5, 6, 7) отмечены три взросΛых меΑвеΑя, 13:18 (8) отмечен оΑин взросΛый меΑвеΑь. 13:56 переΛет в гороΑ МагаΑан Fig. 1. Route line; the figures indicate areas where brown bears were seen during the helicopter surveys on 22 May 2018. The results of the brown bear surveys on Zavyalov island from the Eurocopter 120 helicopter. 11:55 departure from the oil pier of Magadan, 12:14 hovering near the island, 12:20 (1) the first young bear identified on the terrace, 12:52 (2) one adult bear identified, 13:06 (3, 4) two adult bears identified, 13:08 (5, 6, 7) three adult bears identified, 13:18 (8) one adult bear identified, 13:56 Flight to Magadan

opencc-by-4.0Jul 2024View details →

Data from: Ontogeny of migration destination, route and timing in a partially migratory bird

Abstract <ol> <li>In migratory animals, the developmental period from inexperienced juveniles to breeding adults could be a key life stage in shaping population migration patterns. Nevertheless, the development of migration routines in early life remains underexplored. While age-related changes in migration routes and timing have been described in obligate migrants, most investigations into the ontogeny of partial migrants only focused on age-dependency of migration as a binary tactic (migrant or resident), and variations in routes and timing among individuals classified as ‘migrants’ is rarely considered. </li> <li>To fill this gap, we study the ontogeny of migration destination, route and timing in a partially migratory red kite (Milvus milvus) population. Using an extensive GPS-tracking dataset (292 fledglings and 38 adults, with 1 – 5 migrations tracked per individual), we studied how 9 different migration characteristics changed with age and breeding status in migrant individuals, many of which become resident later in life.</li> <li>Individuals departed later from and arrived earlier at the breeding areas as they aged, resulting in a gradual prolongation of stay in the breeding area by two months from the first to the fifth migration. Individuals delayed southward migration in the year prior to territory acquirement, and they further delayed it after occupying a territory. Migration routes became more direct with age. Individuals were highly faithful to their wintering site. Migration distance shortened only slightly with age and was more similar among siblings than among unrelated individuals.</li> <li>The large gradual changes in northward and southward migrations suggest a high degree of plasticity in temporal characteristics during the developmental window. However, the high wintering site fidelity points towards large benefits of site familiarity, prompting spatial migratory plasticity to be expressed through a switch to residency. </li> <li>The contrasting patterns of trajectories of age-related changes between spatial and temporal migration characteristics might reflect different mechanisms underlying the expression of plasticity. Investigating such patterns among species along the entire spectrum of migration tactics would enable further understanding of the plastic responses exhibited by migratory species to rapid environmental changes.</li> </ol>

Fig. 2 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.

Fig. 2. (a) The phylogenetic tree showing the stranded baleen whale (Baleen whale KP/Sabah/02082012) clustered together with the fin whale Balaenoptera physalus (U13103, Z18633 and X61145). (b) The phylogenetic analysis of the cytochrome b gene sequence indicating that the stranded fin whale (Baleen whale KP/Sabah/02082012) is closely related to the specimen of fin whales from the southern hemisphere with accession number KC572845, which represents Balaenoptera physalus quoi.

Fig. 1 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.

Fig. 1. Stranding site (red-filled triangle) of the fin whale at the Sitompok River (Lat. 05°34'672"N; Long.115°39'710"E) near Kuala Penyu (KP), a coastal town overlooking the South China Sea on the western shores of Sabah (Borneo, Malaysia) (inset map). The approximate location of the sighting of possible fin whales reported by De Boer (2000) is marked with a blue-filled circle. The distribution ranges of rorquals species, including fin whales, in the Philippine waters reported by Slijper et al. (1964) and Acebes (2014) are marked with green-filled circles. The locations of fin whales' migration ranges in Australian waters according to Aulich et al. (2019) are shown using red-filled circles. The stranding site of the unconfirmed fin whale species at Pulau Sugi (Junge 1950) is indicated by a yellow-filled circle.

Fig. 4 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.

Fig. 4. (a) Concentrations of trace elements (Mean ± SD) in the skin and blubber of the southern fin whale recorded in the present study compared to (b) the concentrations of trace elements in the skin of southern right whales (Eubalaena australis) extracted from the results of Martino et al. (2013).

Fig. 3 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.

Fig. 3. Comparison of the percentages of fatty acid profiles for (a) SFA, (b) MUFA and (c) PUFA in the tissues of adult male (M) and female (F) southern humpback whales during the early and late migrations extracted from the results of Waugh et al. (2012), epipelagic and mesopelagic (i.e., average) fish in the South China Sea (SCS) extracted from the supplementary data of Wang et al. (2019) and the southern fin whale in the present study.

Fig. 3 in Blockage of migration routes by dam construction: can migratory fish find alternative routes?

Fig. 3. Relationship between the time of recapture (days) and the movement (km) of individuals of the curimba P. lineatus, after the fish were caught and tagged near the Porto Primavera Dam. The movements above the 0 km axis represent upstream movements, and movements below the axis indicate downstream travels. The release locality of the fish is indicated in the figure (downstream or upstream).

Fig. 2 in Blockage of migration routes by dam construction: can migratory fish find alternative routes?

Fig. 2. Mean (±SE) of release-recapture time lag (a), distance traveled (b) and speed developed (c) by individual curimba Prochilodus lineatus in the Upper Paraná River region, tagged and released downstream (Down) and upstream (Up) from the Porto Primavera Dam. Location indicates, respectively, the "release point – recapture point" in relation to the Porto Primavera Dam.

Fig. 1 in Blockage of migration routes by dam construction: can migratory fish find alternative routes?

Fig. 1. Map of the study area, which includes the stretch of the Paraná River between the Jupiá and Itaipu reservoirs. Numbers between parentheses are the numbers of individuals of curimba (Prochilodus lineatus) recaptured in each place (details given in Results).

Fig. 3 in Fish ladder of Lajeado Dam: migrations on one-way routes?

Fig. 3. Mean values of water transparency (Secchi disc, m) upstream from (248 and 173 km) and within Lajeado Reservoir, from October, 2003 through September, 2004.

Fig. 1 in Fish ladder of Lajeado Dam: migrations on one-way routes?

Fig. 1. Sampling sites in the Tocantins River and Lajeado Reservoir (detail: area close to the dam and the fish ladder).

Fig. 4 in Fish ladder of Lajeado Dam: migrations on one-way routes?

Fig. 4. Proportions of the different orders of fish in the larval samples taken near the Lajeado Dam, before (bold font) and after (regular font) dam closure and above the reservoir after its formation.

Fig. 2 in Fish ladder of Lajeado Dam: migrations on one-way routes?

Fig. 2. Spatial variations in the density (± standard deviation - SD) of planktonic fish eggs and larvae in the Middle Tocantins River, before (October, 1999 – September, 2001 - a) and after (October, 2002 – September, 2004 - b) the formation of Lajeado Reservoir (UHE Luís Eduardo Magalhães).