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Record W2914893278 · doi:10.1111/1365-2656.12962

Weak effects of geolocators on small birds: A meta‐analysis controlled for phylogeny and publication bias

2019· review· en· W2914893278 on OpenAlexaff
Vojtěch Brlík, Jaroslav Koleček, Malcolm D. Burgess, Steffen Hahn, Diana L. Humple, Miloš Krist, Janne Ouwehand, Emily L. Weiser, Peter Adamík, José A. Alves, Debora Arlt, Sanja Barišić, Detlef Becker, Eduardo J. Belda, Václav Beran, Christiaan Both, Susana P. Bravo, Martins Briedis, Bohumír Chutný, Davor Ćiković, Nathan W. Cooper, Joana S. Costa, Víctor R. Cueto, Tamara Emmenegger, Kevin C. Fraser, Olivier Gilg, María Jennifer Nieves Guerrero, Michael T. Hallworth, Chris M. Hewson, Frédéric Jiguet, James A. Johnson, T. R. KELLY, Dmitry Kishkinev, Michel Leconte, Terje Lislevand, Simeon Lisovski, Cosme López‐Calderón, Kent P. McFarland, Peter P. Marra, Steven M. Matsuoka, Piotr Matyjasiak, Christoph M. Meier, Benjamin Metzger, Juan S. Monrós, Roland P. Neumann, Amy E. M. Newman, Ryan W. Norris, Tomas Pärt, Václav Pavel, Noah G. Perlut, Markus Piha, Jeroen Reneerkens, Christopher C. Rimmer, Amélie Roberto‐Charron, Chiara Scandolara, Natalia Sokolova, Makiko Takenaka, Dirk Tolkmitt, Herman van Oosten, Arndt H. J. Wellbrock, Hazel Wheeler, J. van der Winden, Klaudia Witte, Bradley K. Woodworth, Petr Procházka

Bibliographic record

VenueJournal of Animal Ecology · 2019
Typereview
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of GuelphWestern UniversityUniversity of Manitoba
FundersRussian Science FoundationInstitut Polaire Français Paul Emile VictorRussian Foundation for Basic ResearchGrantová Agentura České RepublikyLeverhulme Trust
KeywordsMeta-analysisPublication biasPhylogeneticsBiologyZoologyGeographyEvolutionary biologyEcologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Currently, the deployment of tracking devices is one of the most frequently used approaches to study movement ecology of birds. Recent miniaturization of light-level geolocators enabled studying small bird species whose migratory patterns were widely unknown. However, geolocators may reduce vital rates in tagged birds and may bias obtained movement data. There is a need for a thorough assessment of the potential tag effects on small birds, as previous meta-analyses did not evaluate unpublished data and impact of multiple life-history traits, focused mainly on large species and the number of published studies tagging small birds has increased substantially. We quantitatively reviewed 549 records extracted from 74 published and 48 unpublished studies on over 7,800 tagged and 17,800 control individuals to examine the effects of geolocator tagging on small bird species (body mass <100 g). We calculated the effect of tagging on apparent survival, condition, phenology and breeding performance and identified the most important predictors of the magnitude of effect sizes. Even though the effects were not statistically significant in phylogenetically controlled models, we found a weak negative impact of geolocators on apparent survival. The negative effect on apparent survival was stronger with increasing relative load of the device and with geolocators attached using elastic harnesses. Moreover, tagging effects were stronger in smaller species. In conclusion, we found a weak effect on apparent survival of tagged birds and managed to pinpoint key aspects and drivers of tagging effects. We provide recommendations for establishing matched control group for proper effect size assessment in future studies and outline various aspects of tagging that need further investigation. Finally, our results encourage further use of geolocators on small bird species but the ethical aspects and scientific benefits should always be considered.

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)0.050
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.084
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0120.047
Bibliometrics0.0060.008
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0050.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.071
GPT teacher head0.318
Teacher spread0.247 · 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.

Study designMeta-analysis
DomainMethods
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".

Quick stats

Citations153
Published2019
Admission routes1
Has abstractyes

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