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Record W2555746149 · doi:10.1038/nature20563

Unexpected diversity in socially synchronized rhythms of shorebirds

2016· article· en· W2555746149 on OpenAlexaff
Martin Bulla, Mihai Vâlcu, Adriaan M. Dokter, Alexei G. Dondua, András Kosztolányi, Anne L. Rutten, Barbara Helm, Brett K. Sandercock, Bruce Casler, Bruno J. Ens, Caleb S. Spiegel, Chris J. Hassell, Clemens Küpper, Clive Minton, Daniel Burgas, David B. Lank, David C. Payer, Egor Y. Loktionov, Erica Nol, Eunbi Kwon, Fletcher M. Smith, H. River Gates, Hana Vitnerová, Hanna Prüter, James A. Johnson, James J. H. St Clair, Jean-François Lamarre, Jennie Rausch, Jeroen Reneerkens, Jesse R. Conklin, Joanna Burger, Joe Liebezeit, Joël Bêty, Jonathan T. Coleman, Jordi Figuerola, Jos C. E. W. Hooijmeijer, José A. Alves, Joseph A. Smith, Karel Weidinger, Kari Koivula, Ken Gosbell, Klaus‐Michael Exo, Larry Niles, Laura Koloski, Laura McKinnon, Libor Praus, Marcel Klaassen, Marie‐Andrée Giroux, Martin Sládeček, Megan L. Boldenow, Michael I. Goldstein, Miroslav Šálek, Nathan R. Senner, Nelli Rönkä, Nicolas Lecomte, Olivier Gilg, Orsolya Vincze, Oscar W. Johnson, Paul A. Smith, Paul Woodard, Pavel S. Tomkovich, Phil F. Battley, Rebecca Bentzen, Richard B. Lanctot, Ron Porter, Sarah T. Saalfeld, Scott Freeman, Stephen C. Brown, Stephen M. Yezerinac, Tamás Székely, Tomás Montalvo, Theunis Piersma, Vanessa Loverti, Veli‐Matti Pakanen, Wim Tijsen, Bart Kempenaers

Bibliographic record

VenueNature · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsYork UniversityCenter for Northern StudiesEnvironment and Climate Change CanadaUniversité du Québec à RimouskiUniversité de MonctonTrent UniversitySimon Fraser University
FundersMax-Planck-GesellschaftInternational Max Planck Research School for Environmental, Cellular and Molecular Microbiology
KeywordsDiversity (politics)RhythmEcologyGeographyEvolutionary biologyBiologySociologyMedicine

Abstract

fetched live from OpenAlex

Socially synchronized rhythms in shorebirds were assessed during biparental incubation under natural circumstances and were exceptionally diverse, often not following the 24-h day, whereby risk of predation, not starvation, determined some of the variation in incubation rhythms. All organisms have biorhythms, but in social species these have to be synchronized between individuals within a community. Here Martin Bulla et al. address the issue of how parents synchronize their biorhythms when both are caring for their offspring. Using data from 729 nests of 91 populations of 32 species of shorebirds in which parents synchronize their schedules to achieve continuous incubation of the eggs, they show that even under similar environmental conditions and despite day-long environmental cues, social synchronization can generate far more diverse behavioural rhythms than expected from studies of captive birds. The risk of predation, not starvation, might be a key determinant of biorhythmic diversity. The behavioural rhythms of organisms are thought to be under strong selection, influenced by the rhythmicity of the environment1,2,3,4. Such behavioural rhythms are well studied in isolated individuals under laboratory conditions1,5, but free-living individuals have to temporally synchronize their activities with those of others, including potential mates, competitors, prey and predators6,7,8,9,10. Individuals can temporally segregate their daily activities (for example, prey avoiding predators, subordinates avoiding dominants) or synchronize their activities (for example, group foraging, communal defence, pairs reproducing or caring for offspring)6,7,8,9,11. The behavioural rhythms that emerge from such social synchronization and the underlying evolutionary and ecological drivers that shape them remain poorly understood5,6,7,9. Here we investigate these rhythms in the context of biparental care, a particularly sensitive phase of social synchronization12 where pair members potentially compromise their individual rhythms. Using data from 729 nests of 91 populations of 32 biparentally incubating shorebird species, where parents synchronize to achieve continuous coverage of developing eggs, we report remarkable within- and between-species diversity in incubation rhythms. Between species, the median length of one parent’s incubation bout varied from 1–19 h, whereas period length—the time in which a parent’s probability to incubate cycles once between its highest and lowest value—varied from 6–43 h. The length of incubation bouts was unrelated to variables reflecting energetic demands, but species relying on crypsis (the ability to avoid detection by other animals) had longer incubation bouts than those that are readily visible or who actively protect their nest against predators. Rhythms entrainable to the 24-h light–dark cycle were less prevalent at high latitudes and absent in 18 species. Our results indicate that even under similar environmental conditions and despite 24-h environmental cues, social synchronization can generate far more diverse behavioural rhythms than expected from studies of individuals in captivity5,6,7,9. The risk of predation, not the risk of starvation, may be a key factor underlying the diversity in these rhythms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.235
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations138
Published2016
Admission routes1
Has abstractyes

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