Evidence map›Paper›PMID 37122025›Full record

ArticleMovement ecology2023

Atmospheric pressure predicts probability of departure for migratory songbirds.

Nathan W Cooper, Bryant C Dossman, Lucas E Berrigan, J Morgan Brown, Dominic A Cormier, Camille Bégin-Marchand, Amanda D Rodewald, Philip D Taylor, Junior A Tremblay, Peter P Marra

Abstract read
In one paragraph

Article in Movement ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nathan W CooperMigratory Bird Center, Smithsonian's National Zoo and Conservation Biology Institute, MRC 5503, 3001 Connecticut Ave. NW, Washington, DC, 20013, USA. coopern@si.edu.
Bryant C DossmanDepartment of Biology and McCourt School of Public Policy, Georgetown University, 37th and O Streets NW, Washington, DC, 20057, USA.
Lucas E BerriganDepartment of Biology, Acadia University, 33 Westwood Avenue, Wolfville, NS, B4P 2R6, Canada.
J Morgan BrownDepartment of Biology, Acadia University, 33 Westwood Avenue, Wolfville, NS, B4P 2R6, Canada.
Dominic A CormierDepartment of Biology, Acadia University, 33 Westwood Avenue, Wolfville, NS, B4P 2R6, Canada.
Camille Bégin-MarchandWildlife Research Division, Environment and Climate Change Canada, 1550 Av. D'Estimauville, Québec, QC, G1J 0C3, Canada.
Amanda D RodewaldCornell Lab of Ornithology and Department of Natural Resources and the Environment, Cornell University, 159 Sapsucker Woods Rd, Ithaca, NY, 14850, USA.
Philip D TaylorDepartment of Biology, Acadia University, 33 Westwood Avenue, Wolfville, NS, B4P 2R6, Canada.
Junior A TremblayWildlife Research Division, Environment and Climate Change Canada, 1550 Av. D'Estimauville, Québec, QC, G1J 0C3, Canada.
Peter P MarraDepartment of Biology and McCourt School of Public Policy, Georgetown University, 37th and O Streets NW, Washington, DC, 20057, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeather can have both delayed and immediate impacts on animal populations, and species have evolved behavioral adaptions to respond to weather conditions. Weather has long been hypothesized to affect the timing and intensity of avian migration, and radar studies have demonstrated strong correlations between weather and broad-scale migration patterns. How weather affects individual decisions about the initiation of migratory flights, particularly at the beginning of migration, remains uncertain.

methodsHere, we combine automated radio telemetry data from four species of songbirds collected at five breeding and wintering sites in North America with hourly weather data from a global weather model. We use these data to determine how wind profit, atmospheric pressure, precipitation, and cloud cover affect probability of departure from breeding and wintering sites.

resultsWe found that the probability of departure was related to changes in atmospheric pressure, almost completely regardless of species, season, or location. Individuals were more likely to depart on nights when atmospheric pressure had been rising over the past 24 h, which is predictive of fair weather over the next several days. By contrast, wind profit, precipitation, and cloud cover were each only informative predictors of departure probability in a single species.

conclusionsOur results suggest that individual birds actively use weather information to inform decision-making regarding the initiation of departure from the breeding and wintering grounds. We propose that birds likely choose which date to depart on migration in a hierarchical fashion with weather not influencing decision-making until after the departure window has already been narrowed down by other ultimate and proximate factors.

Indexed as

Atmospheric pressureCloud coverDeparture probabilityMigrationPrecipitationWeatherWind profitWintering

Identifiers

PMID37122025
PMCPMC10150475

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.