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202 results for “Migratory birds”
Age-dependent timing and routes demonstrate developmental plasticity in a long-distance migratory bird
<p>1. Longitudinal tracking studies have revealed consistent differences in the migration patterns of individuals from the same populations. The sources or processes causing this individual variation are largely unresolved. As a result, it is mostly unknown how much, how fast, and when animals can adjust their migrations to changing environments. 2. We studied the ontogeny of migration in a long-distance migratory shorebird, the black-tailed godwit (Limosa limosa limosa), a species known to exhibit marked individuality in the migratory routines of adults. By observing how and when these individual differences arise, we aimed to elucidate whether individual differences in migratory behaviour are inherited or emerge as a result of developmental plasticity. 3. We simultaneously tracked juvenile and adult godwits from the same breeding area on their south- and northward migrations. To determine how and when individual differences begin to arise, we related juvenile migration routes, timing, and mortality rates to hatch date and year of birth. Then, we compared adult and juvenile migration patterns to identify potential age-dependent differences. 4. In juveniles, the timing of their first southward departure was related to hatch date. However, their subsequent migration routes, orientation, destination, migratory duration, and likelihood of mortality were unrelated to the year or timing of migration, or their sex. Juveniles left the Netherlands after all tracked adults. They then flew non-stop to West Africa more often and incurred higher mortality rates than adults. Some juveniles also took routes and visited stopover sites far outside the well-documented adult migratory corridor. Such juveniles, however, were not more likely to die. 5. We found that juveniles exhibited different migratory patterns than adults, but no evidence that these behaviours are under natural selection. We thus eliminate the possibility that the individual differences observed among adult godwits are present at birth or during their first migration. This adds to the mounting evidence that animals possess the developmental plasticity to change their migration later in life in response to environmental conditions as those conditions are experienced.</p>
Unravelling processes between phenotypic plasticity and population dynamics in migratory birds
<p>Populations can rapidly respond to environmental change via adaptive phenotypic plasticity, which can also modify interactions between individuals and their environment, affecting population dynamics. Bird migration is a highly plastic resource-tracking tactic in seasonal environments. However, the link between the population dynamics of migratory birds and migration tactic plasticity is not well understood.</p> <p>The quality of staging habitats affects individuals' migration timing and energy budgets in the course of migration, and can consequently affect individuals' breeding and overwintering performance, and impact population dynamics. Given staging habitats being lost in many parts of the world, our goal is to investigate responses of individual migration tactics and population dynamics in the face of loss of staging habitat, and to identify the key processes connecting them.</p> <p>We started by constructing and analysing a general full-annual-cycle individual-based model with a stylized migratory population to generate hypotheses on how changes in the size of staging habitat might drive changes in individual stopover duration and population dynamics. Next, through the interrogation of survey data, we tested these hypotheses by analysing population trends and stopover duration of migratory waterbirds experiencing loss of staging habitat.</p> <p>Our modelling exercise led to us posing the following hypotheses: the loss of staging habitat generates plasticity in migration tactics, with individuals remaining on the staging habitat for longer to obtain food due to a reduction in per capita food availability. The subsequent increasing population density on the staging habitat has knock on effects on population dynamics in the breeding and overwintering stage. Our empirical results were consistent with the modelling predictions.</p> <p>Our results demonstrate how environmental change that impacts one energetically costly life history stage in migratory birds can have population dynamics impacts across the entire annual cycle via phenotypic plasticity.</p>
Depleted lean body mass after crossing an ecological barrier differentially affects stopover duration and refueling rate among species of long-distance migratory birds
<p>During the long-distance migratory flights of birds, lean mass breakdown occurs in concert with fat catabolism and is expected to have repercussions on total stopover duration because birds require time to rebuild lean tissue before accumulating fat reserves. Despite this, little is known about the role of in-flight lean mass breakdown on stopover duration because direct measurements are restricted by the destructive nature of traditional body composition analysis and the technological limitations of tracking small birds over large expanses. We used non-lethal, non-invasive Quantitative Magnetic Resonance technology and plasma metabolite profiling to measure the body composition and physiological state of free-living birds captured at a migratory stopover site after flight across the Gulf of Mexico, and an automated radiotelemetry array covering ~5000 km<sup>2</sup> to track stopover duration and regional movements. We tested whether stopover duration is prolonged in individuals arriving with lower lean mass and investigated how lean mass affects regional movements. Stopover duration decreased by 22% for each additional gram of lean mass in Northern Waterthrush (Parkesia noveboracensis), but this relationship was not apparent in Swainson's Thrush (Catharus ustulatus), Gray-cheeked Thrush (Catharus minimus), or Yellow-billed Cuckoo (Coccyzus americanus), even though these species also arrived with depleted lean mass. Stopover duration increased for Swainson's Thrush with higher plasma uric acid, a marker of protein catabolism. Northern Waterthrush with higher plasma triglycerides had longer stopovers. Our findings suggest that migratory birds may compensate for substantial lean mass losses by increasing refueling rate or relocating habitat, and highlights species-level differences in lean mass breakdown and the associated impacts on physiological function. Our results highlight the strategies used by different species to recover from a trans-Gulf of Mexico flight and resume migration, which improves our understanding of the annual cycle of migratory birds.</p>
Data from: seasonal patterns and processes of migration in a long-distance migratory bird: energy or time minimization?
<p>Optimal migration theory prescribes adaptive strategies of energy, time or mortality minimization. To test alternative hypotheses of energy and time minimization migration we used multisensory data loggers recording time-resolved flight activity and light for positioning by geolocation in a long-distance migratory shorebird, little ringed plover Charadrius dubius. We could reject the hypothesis of energy minimization based on a relationship between stopover duration and subsequent flight time as predicted for a time minimizer. We found seasonally diverging slopes between stopover and flight durations in relation to the progress (time) of migration, which follows for a time minimizing policy if resource gradients increase and decrease, respectively. Total flight duration did not differ significantly between autumn and spring migration, although spring migration was 6% shorter. Overall duration of autumn migration was longer than that in spring, mainly due to a mid-migration stop in most birds, when they likely initiated moult. Overall migration speed was not significantly different between autumn and spring. Migratory flights often occurred as runs of 2-7 nocturnal flights on adjacent days, which may be countering a time minimization strategy. Other factors may influence a preference for nocturnal migration, such as avoiding flight in turbulent conditions, heat stress, and diurnal predators.</p>
Movement of juvenile migratory birds from settlement to adulthood across the non-breeding range
<p>Among migratory vertebrates, high levels of fidelity to non-breeding sites during adulthood are common. If occupied sites vary in quality, strong site-fidelity can have profound consequences for individual fitness and population demography. Given the prevalance of adult site-fidelity, the regions of the non-breeding range to which juveniles first migrate, and the scale of any subsequent movements, are likely to be pivotal in shaping distributions and demographic processes across population ranges. However, inherent difficulties in tracking migratory individuals through early life mean that opportunities to quantify juvenile settlement and movements across non-breeding ranges, and the mechanisms involved, are extremely rare.Through long-term, range-wide resightings of hundreds of colour-marked individuals from their first migration to adulthood, and application of state-space models, we quantify levels of juvenile and adult regional-scale movements and distances at different life stages across the whole non-breeding distribution range in a migratory shorebird, the Black-tailed Godwit (<em>Limosa limosa islandica</em>). We show that the probability of individuals changing non-breeding regions (seven historical wintering regions spanning the Western Europe range) at all ages are very low (mean movement probability = 10.9% from first to subsequent winter, and 8.3% from first adult winter to later winters). Movement between regions was also low between autumn and winter of the same year for both juveniles (mean movement probability = 17.0%) and adults (10.4%). The great majority of non-breeding movements from the first autumn to adulthood were within regions and less than 100 km. The scarcity of regional-scale non-breeding movements from the first autumn to adulthood means that the factors influencing where juveniles settle will be key determinants of non-breeding distributions and of the rate and direction of changes in distributions.</p>
Data from: Habitat security pattern of migratory birds in Dalian (transit station)
<p>Dalian is an important "transit station" for migratory birds in the East Asian-Australasian flyway,located at the throat of the habitat of migratory birds in the Yellow (Bohai) Sea, and is an important stop,foraging and breeding place for migratory birds in the long-distance migration process.Based on the idea of Land-sea integration, this study aims to promote the improvement of the ecological environment of migratory bird habitats, enhance species diversity, and strengthen population exchange, identify the habitat security pattern in the "transit station" area, and put forward restoration suggestions. By selecting important habitat patches from the MSPA model, landscape connectivity analysis, and important bird habitats in Dalian, the random movement of birds was simulated through circuit theory, and the ecological corridors and important corridor nodes of migratory birds were identified to construct a habitat security pattern. The results of the study identified the ecological reserves, key areas, and areas to be restored in the study area. Among them, the areas to be restored are graded according to the importance of ecological security, and targeted restoration strategies are proposed. The habitat security pattern of migratory birds constructed in this paper can provide a scientific basis for the protection of migratory bird habitats.</p>
Table 1 in Survey of the Non-Migratory Birds of the Rock Islands Southern Lagoon World Heritage Site in Palau
<p>Table 1. List of the non-migratory wild birds detected during the survey of the Rock Islands Southern Lagoon World Heritage Site. * = Palau endemic species. <b>†</b> = Micronesia regional endemic species. ‡ = Introduced species. [EN] = Endangered species. Frequency values indicate the number of counts during which a species was detected. Shaded areas in the columns to the right indicate detection of a species at an island group: Column a=Ngeruktabel, b=Ulong, c=Mecherechar, d=Ngerechong, e=Ngemelis, f=Babelchomekang, g=Ulebsechel, h=Ngerukuid, i=Ngeanges, j=Kmekumer.</p><table><tbody><tr><th>English Name</th><th>Scientific Name</th><th>Frequency</th><th><b>a b c d e f g h i j</b></th></tr></tbody><tbody><tr><th>Palau Fruit Dove*</th><td><i>Ptilinopus pelewensis</i></td><td>129</td><td></td></tr><tr><th>Micronesian Starling <b>†</b></th><td><i>Aplonis opaca</i></td><td>122</td><td></td></tr><tr><th>Black Noddy</th><td><i>Anous minutus</i></td><td>114</td><td></td></tr><tr><th>Micronesian Myzomela <b>†</b></th><td><i>Myzomela rubratra</i></td><td>112</td><td></td></tr><tr><th>Collared Kingfisher</th><td><i>Todiramphus chloris</i></td><td>108</td><td></td></tr><tr><th>Palau Flycatcher*</th><td><i>Myiagra erythrops</i></td><td>103</td><td></td></tr><tr><th>Dusky White-eye*</th><td><i>Zosterops finschii</i></td><td>96</td><td></td></tr><tr><th>Palau Fantail*</th><td><i>Rhipidura lepida</i></td><td>93</td><td></td></tr><tr><th>Palau Bush Warbler*</th><td><i>Horornis annae</i></td><td>90</td><td></td></tr><tr><th>White Tern</th><td><i>Gygis alba</i></td><td>90</td><td></td></tr><tr><th>Micronesian Megapode <b>†</b> [EN]</th><td><i>Megapodius laperouse</i></td><td>84</td><td></td></tr><tr><th>Palau Swiftlet*</th><td><i>Aerodramus pelewensis</i></td><td>72</td><td></td></tr><tr><th>Morningbird*</th><td><i>Pachycephala tenebrosa</i></td><td>70</td><td></td></tr><tr><th>White-tailed Tropicbird</th><td><i>Phaethon lepturus</i></td><td>69</td><td></td></tr><tr><th>Micronesian Imperial Pigeon <b>†</b></th><td><i>Ducula oceanica</i></td><td>52</td><td></td></tr><tr><th>Sulphur-crested Cockatoo‡</th><td><i>Cacatua galerita</i></td><td>47</td><td></td></tr><tr><th>Palau Cicadabird*</th><td><i>Coracina monacha</i></td><td>28</td><td></td></tr><tr><th>Eclectus Parrot‡</th><td><i>Eclectus roratus</i></td><td>26</td><td></td></tr><tr><th>Nicobar Pigeon</th><td><i>Caloenas nicobarica</i></td><td>23</td><td></td></tr><tr><th><b>Giant White-eye*</b></th><td><i>Megazosterops palauensis</i></td><td>21</td><td></td></tr><tr><th>Citrine White-eye <b>†</b></th><td><i>Zosterops semperi</i></td><td>16</td><td></td></tr><tr><th>Blue-faced Parrotfinch</th><td><i>Erythrura trichoa</i></td><td>12</td><td></td></tr><tr><th>Palau Ground Dove*</th><td><i>Alopecoenas canifrons</i></td><td>11</td><td></td></tr><tr><th>Pacific Reef Heron</th><td><i>Egretta sacra</i></td><td>11</td><td></td></tr><tr><th>Brown Noddy</th><td><i>Anous stolidus</i></td><td>8</td><td></td></tr><tr><th>Bridled Tern</th><td><i>Onychoprion anaethetus</i></td><td>7</td><td></td></tr><tr><th>Rufous Night Heron</th><td><i>Nycticorax caledonicus</i></td><td>7</td><td></td></tr><tr><th>Rusty-capped Kingfisher*</th><td><i>Todiramphus pelewensis</i></td><td>6</td><td></td></tr><tr><th>Greater Crested Tern</th><td><i>Thalasseus bergii</i></td><td>5</td><td></td></tr><tr><th>Black-naped Tern</th><td><i>Sterna sumatrana</i></td><td>4</td><td></td></tr><tr><th>Little Pied Cormorant</th><td><i>Microcarbo melanoleucos</i></td><td>2</td><td></td></tr><tr><th>Tropical Shearwater</th><td><i>Puffinus bailoni</i></td><td>2</td><td></td></tr><tr><th>Great Frigatebird</th><td><i>Fregata minor</i></td><td>2</td><td></td></tr><tr><th>Brown Booby</th><td><i>Sula leucogaster</i></td><td>1</td><td></td></tr><tr><th>Slaty-legged Crake</th><td><i>Rallina eurizonoides</i></td><td>1</td><td></td></tr><tr><th>Palau Owl*</th><td><i>Pyrroglaux podargina</i></td><td>1</td><td></td></tr><tr><th>Palau Nightjar*</th><td><i>Caprimulgus phalaena</i></td><td>1</td><td></td></tr></tbody></table>
Extraordinarily rapid proliferation of cultured muscle satellite cells from migratory birds
<p>Migratory birds experience bouts of muscle growth and depletion as they prepare for, and undertake prolonged flight. Our studies of migratory bird muscle physiology <i>in vitro</i> led to the discovery that sanderling (<i>Calidris alba</i>) muscle satellite cells proliferate more rapidly than other normal cell lines. Here we determined the proliferation rate of muscle satellite cells isolated from five migratory species (sanderling; ruff, <i>Calidris pugnax</i>; western sandpiper, <i>Calidris mauri</i>; yellow-rumped warbler, <i>Setophaga coronata</i>; Swainson's thrush, <i>Catharus ustulatus</i>) from two families (shorebirds and songbirds) and with different migratory strategies. Ruff and sanderling satellite cells exhibited rapid proliferation, with population doubling times of 9.3±1.3 and 11.4±2.0 hrs whereas the remaining species' cell doubling times were ≥24 hrs. The results indicate that the rapid proliferation of satellite cells is not associated with total migration distance but may be related to flight bout duration and interact with lifespan.</p>
Audio files and dataset: Guess who? Evaluating individual acoustic monitoring for males and females of the Tawny Pipit, a migratory passerine bird with a simple song
<p>We have uploaded the audio files (song files + recording files) and the dataset of the analysis conducted in our manuscript entitled ''Guess who? Evaluating individual acoustic monitoring for males and females of the<br> Tawny Pipit, a migratory passerine bird with a simple song''. This study is published in the scientific journal ''Journal of Ornithology''. We have also provided a txt. file, called 'Read me' explaining the uploaded data in more detail.</p>
Data for: Post-migratory nonbreeding movements of birds: a review and case study
<p><span>Seasonal migrations are fascinating and ecologically important, but many migratory species are declining as climate change and land-use change alter the habitats used by migrants across the annual cycle. While some migratory birds use a single wintering site, others undertake large-scale post-migratory movements during the nonbreeding season. Technological advances that enable tracking individual birds are uncovering more examples of post-migratory nonbreeding movements. Documenting these movements is important for conservation, which requires understanding when and where migrants use habitats throughout their range. Here, we reviewed existing literature and collected information on the post-migratory nonbreeding movements of 92 migratory bird species from 18 orders across six continents. Among these records, the most commonly reported drivers of movements were resource availability and climate. This strong dependence of post-migratory nonbreeding movements on birds' abiotic and biotic environments suggests that environmental change will impact the patterns of these movements and potentially the fitness of species that undertake them. We also reviewed post-migratory nonbreeding movements in North American-breeding thrushes from the genus Catharus to examine the drivers of these movements in five closely related migratory species. We find that species that are less territorial are more likely to use multiple sites during the nonbreeding season; however, there is little evidence for dietary, evolutionary, or environmental differences between thrush species that move during winter and those that are stationary. While we believe our study represents the most comprehensive list of species exhibiting post-migratory nonbreeding movements to date, biases in sampling, a lack of common terminology for these movements, and the still-nascent availability of inexpensive, lightweight tracking devices mean that there are probably many more populations that undertake such movements. Future research into the consequences of post-migratory nonbreeding movements for individual fitness and ecosystem services would advance our understanding of their conservation importance and their evolution.</span></p>
Dataset for: Utilizing high-resolution genetic markers to track population-level exposure of migratory birds to renewable energy development
<p class="MsoNormal"><span>With new motivation to increase the proportion of energy demands met by zero-carbon sources, there is a greater focus on efforts to assess and mitigate the impacts of renewable energy development on sensitive ecosystems and wildlife, of which birds are of particular interest. One challenge for researchers, due in part to a lack of appropriate tools, has been estimating the effects from such development on individual breeding populations of migratory birds. To help address this, we utilize a newly developed, high-resolution genetic tagging method to rapidly identify the breeding population of origin of carcasses recovered from renewable energy facilities and combine them with maps of genetic variation across geographic space (called 'genoscapes') for five species of migratory birds known to be exposed to energy development, to assess the extent of population-level effects on migratory birds. We demonstrate that most avian remains collected were from the largest populations of a given species. In contrast, those remains from smaller, declining populations made up a smaller percentage of the total number of birds assayed. Results suggest that application of this genetic tagging method can successfully define population-level exposure to renewable energy development and may be a powerful tool to inform future siting and mitigation activities associated with renewable energy programs.</span></p>
Data from: Arriving late and lean at a stopover site is selected against in a declining migratory bird population
<p>Loss and/or deterioration of refuelling habitats have caused population declines in many migratory bird species, but whether this results from unequal mortality among individuals varying in migration traits remains to be shown. Based on 13 years of body mass and size data of great knots (<em>Calidris tenuirostris</em>) at a stopover site of the Yellow Sea, combined with resightings of individuals marked at this stopover site along the East Asian-Australasian Flyway, we assessed year to year changes in annual apparent survival rates, and how apparent survival differed between migration phenotypes (their i.e. migration timing and fuel stores). The measurements occurred over a period of habitat loss and/or deterioration in this flyway. We found that the annual apparent survival rates of great knots rapidly declined from 2006 to 2018, late-arriving individuals with small fuel stores exhibiting the lowest apparent survival rate. There was an advancement in mean arrival date and an increase in the mean fuel load of stopping birds over the study period. Our results suggest that late-arriving individuals with small fuel loads were selected against. Thus, habitat loss and/or deterioration at staging sites may cause changes in the composition of migratory phenotypes at the population-level.</p>
A gradual migratory divide determines not only the direction of migration but also migration strategy of a social migrant bird
<p>Migratory divides separate populations of migratory animals, facilitating the evolution of intraspecific differences in migration strategies. Migration strategies are expected to be different for birds using different flyways and environments, but the knowledge regarding the impact of the flyway on individual migration strategies is scarce. By using satellite tracking and neckband resightings, we reveal the existence and structure of a gradual migratory divide between two European flyway populations of greylag geese <em>Anser anser</em>. Birds breeding at the far end of the Gulf of Bothnia in the Baltic Sea coast use the Western Flyway; those breeding in the Gulf of Finland the Central Flyway and those breeding between these extremes scatter to the two flyways. By using Gaussian process modelling, we show that migration strategies differed between the flyways. The birds using Western Flyway migrated earlier in autumn, performed longer annual migration and made a clear stopover during migration, whereas the birds using Central Flyway flew directly to their wintering sites. The gradual migratory divide that also divides migration strategies provides insights to migratory divides in birds with learned migration. Distinct migration strategies in different flyways provide exciting possibilities to further study the factors driving migration strategies.</p>
Age-dependent timing and routes demonstrate developmental plasticity in a long-distance migratory bird
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Climate change and maladaptive wing shortening in a long-distance migratory bird
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Migratory bird stopover patterns linked to urbanization and social landscapes
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Data from: The breeding distribution of a migratory bird fluctuates with nonbreeding season rainfall over the last century
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Data from: seasonal patterns and processes of migration in a long-distance migratory bird: energy or time minimization?
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Data from: Time of emergence of novel climates for North American migratory bird populations
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Climatic niche variation in genetically distinct populations throughout the annual cycle for a migratory parulid bird, <em>Cardellina pusilla</em>
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