Evidence map›Paper›PMID 41981695›Full record

ArticleMovement ecology2026

Convective rainfall drives behavioral shifts across multiple foraging scales in breeding seabirds.

Wataru Takeda, Shiho Koyama, Yusuke Goto, Ken Yoda

Abstract read
In one paragraph

Article in Movement ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wataru TakedaGraduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan. henryw.t1105@gmail.com.
Shiho KoyamaGraduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
Yusuke GotoGraduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
Ken YodaGraduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.

Funding

Japan Science and Technology Agency JPMJCR23P2Japan Science and Technology Agency JPMJSP2125Japan Society for the Promotion of Science 24681006
6 · The paper itself

Abstract

backgroundRainfall can influence seabird foraging behavior through interactions with other climatic variables, such as wind speed and cloud cover, causing both immediate constraints on flight and foraging activity and longer-term changes via shifts in prey distribution. To understand the ecological significance of rainfall, it is therefore necessary to examine foraging behavior across multiple spatiotemporal scales. Rainfall can be broadly classified into convective and large-scale types based on spatial extent and persistence, yet their distinct effects on seabird foraging behavior have rarely been explicitly tested.

methodsWe examined how two types of rainfall (convective and large-scale rainfall), cloud cover, and wind speed relate to foraging behavior and chick growth in streaked shearwaters (Calonectris leucomelas) rearing chicks on Awashima Island, Japan, from 2011 to 2024. Foraging behavior was quantified at three spatiotemporal scales: (1) fine-scale behavioral states (traveling, foraging, and resting), estimated using a hidden Markov model; (2) meso-scale trip parameters, including maximum range and trip duration; and (3) broad-scale behavioral specialization, quantified as Individual Foraging Site Fidelity (IFSF). Chick growth rate was used as a proxy for the cumulative outcomes of foraging behavior.

resultsIncreased convective rainfall was associated with higher transition probabilities from other states to the foraging state and with higher IFSF. In contrast, increased large-scale rainfall was associated with lower transition probabilities from the foraging state to other states, longer maximum range, and lower IFSF. In addition, wind speed was associated with changes in fine-scale behavioral states and meso-scale trip parameters, whereas cloud cover showed no ecologically meaningful effects. None of the climatic factors examined were associated with chick growth.

conclusionsShort-term, localized convective rainfall is likely to alter foraging conditions in ways consistent with its defining characteristics, leading to rapid switches to foraging behavior and higher IFSF through increased patchiness in prey distribution. In contrast, because large-scale rainfall is persistent and spatially extensive, it likely promoted sustained foraging behavior and more homogeneous prey distributions, resulting in lower IFSF. By examining climatic effects across multiple spatiotemporal scales, this study contributes to a more comprehensive understanding of how climate change influences seabird foraging behavior.

Indexed as

BiologgingClimate impactsForaging behaviorHidden markov modelIndividual foraging site fidelityRainfallSeabird

Identifiers

PMID41981695
PMCPMC13191980

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LicenceCC BY-NC-ND
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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.