Evidence map›Paper›PMID 36229037›Full record

ArticleGlobal change biology2023

Climate change and commercial fishing practices codetermine survival of a long-lived seabird.

Daniel Gibson, Thomas V Riecke, Daniel H Catlin, Kelsi L Hunt, Chelsea E Weithman, David N Koons, Sarah M Karpanty, James D Fraser

Abstract read
In one paragraph

Article in Global change biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Environmental drivers of productivity explain population patterns of an Arctic-nesting bird across a half-century.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
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

8 authors.

Daniel GibsonGraduate Degree Program in Ecology, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0003-1580-1479
Thomas V RieckeSwiss Ornithological Institute, Sempach, Switzerland.ORCID https://orcid.org/0000-0001-7998-5233
Daniel H CatlinDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0003-4637-0384
Kelsi L HuntDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0002-0573-3401
Chelsea E WeithmanDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0003-0391-6375
David N KoonsGraduate Degree Program in Ecology, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-6474-299X
Sarah M KarpantyDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0003-3831-8914
James D FraserDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0002-8653-1333

Funding

Virginia Department of TransportationVirginia Department of Wildlife Resources
6 · The paper itself

Abstract

Understanding the environmental mechanisms that govern population change is a fundamental objective in ecology. Although the determination of how top-down and bottom-up drivers affect demography is important, it is often equally critical to understand the extent to which, environmental conditions that underpin these drivers fluctuate across time. For example, associations between climate and both food availability and predation risk may suggest the presence of trophic interactions that may influence inferences made from patterns in ecological data. Analytical tools have been developed to account for these correlations, while providing opportunities to ask novel questions regarding how populations change across space and time. Here, we combine two modeling disciplines-path analysis and mark-recapture-recovery models-to explore whether shifts in sea-surface temperatures (SSTs) influenced top-down (entanglement in fishing equipment) or bottom-up (forage fish production) population constraints over 60 years, and the extent to which these covarying processes shaped the survival of a long-lived seabird, the Royal tern. We found that hemispheric trends in SST were associated with variation in the amount of fish harvested along the Atlantic coast of North America and in the Caribbean, whereas reductions in forage fish production were mostly driven by shifts in the amount of fish harvested by commercial fisheries throughout the North Atlantic the year prior. Although the indirect (i.e., stock depletion) and direct (i.e., entanglement) impacts of commercial fishing on Royal tern mortality has declined over the last 60 years, increased SSTs during this time period has resulted in a comparable increase in mortality risk, which disproportionately impacted the survival of the youngest age-classes of Royal terns. Given climate projections for the North Atlantic, our results indicate that threats to Royal tern population persistence in the Mid-Atlantic will most likely be driven by failures to recruit juveniles into the breeding population.

Indexed as

CharadriiformesClimate ChangeAnimalsEcosystemFisheriesPopulation DynamicsPredatory Behaviorcapture-recaptureecological networkshierarchical modelsThalasseus maximustop-down and bottom-up population regulation

Identifiers

PMID36229037
PMCPMC10092490

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.