Evidence map›Paper›PMID 42749365›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

Shifts and expansion in a spatially structured fish stock spanning international borders in the Northwest Atlantic.

Nancy L Shackell, Kiyomi J Ferguson, Andrew J Allyn, Cornelia E den Heyer, Jamie C Tam, David M Keith, Katherine E Mills, James T Thorson

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Shifts and expansion in a spatially structured fish stock spanning international borders in the Northwest Atlantic.Ecological applications : a publication of the Ecological Society of America · 2026
    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.

Nancy L ShackellFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.ORCID https://orcid.org/0000-0001-5128-948X
Kiyomi J FergusonFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.ORCID https://orcid.org/0009-0003-4544-2742
Andrew J AllynGulf of Maine Research Institute, Portland, Maine, USA.ORCID https://orcid.org/0000-0002-1584-0198
Cornelia E den HeyerFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-1933-5885
Jamie C TamFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.ORCID https://orcid.org/0009-0006-3462-8981
David M KeithFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-3564-2030
Katherine E MillsGulf of Maine Research Institute, Portland, Maine, USA.ORCID https://orcid.org/0000-0001-6078-7747
James T ThorsonHabitat and Ecological Processes Research, Alaska Fisheries Science Center, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-7415-1010

Funding

Government of CanadaNOAA Cooperative Institute for the North Atlantic Region NA19OAR4320074
6 · The paper itself

Abstract

Marine commercial fish species can shift their geographic distributions as environmental conditions change. Distribution shifts of commercial species across borders pose a challenge because individual jurisdictions often conduct stock assessments using data from within their own borders only. This can lead to fisheries managers reacting to local trends in abundance that do not represent stock-wide status. Atlantic halibut (Hippoglossus hippoglossus) spans across Eastern Canada and extends into the United States, across a French territory and into the High Seas. Here, we integrate survey data from the United States and Canada to test for distribution shifts across Atlantic halibut's range. In Canada, the halibut fishery is certified as sustainable, whereas in the United States, the same population is designated as "overfished". We used a spatiotemporal modeling approach to integrate US and Canadian fisheries-independent surveys so as to examine a suite of distribution shift indicators at both regional and smaller (focal area) scales, before and during a period of enhanced warming (1990-2005 and 2006-2023, respectively). Abundance increased in both the United States and Canada over the full time series. The proportion of halibut abundance in Canada ranged from 89 to 96%, averaging 94% over the time series. As abundance increased during the 2006-2023 period, the center of gravity (COG) shifted at a rate of 4 km/year north (95% CI: 3-4.3 km), and 12 km/year east (95% CI: 10-15 km) in Canada. During the same period in the United States, the COG shifted southwest at 3 km/year south (95% CI: 1.5-4 km) and 1 km/year west (95% CI: 0.5-2 km). As the population increased between 2006 and 2023, the leading edge of the range expanded northward and predominantly eastward ~270 km, while the trailing edge shifted northward and predominantly eastward 70 km, consistent with the shelf topography and overall northern expansion. Our results are consistent with the spatial expansion of suitable thermal habitat and an increase in the length of the growing season for Atlantic halibut throughout the region. Here, we recognize the need to operationalize distribution shift indicators for fisheries management and other fisheries-focused decision-support frameworks.

Indexed as

FlounderAnimalsAtlantic OceanCanadaFisheriesModels, BiologicalPopulation DynamicsTime FactorsUnited StatesAtlantic halibutdistribution shiftsfisheriesintegrated modelingspecies distribution modelingtransboundary

Identifiers

PMID42749365
PMCPMC13581450

What OpenQuestion holds

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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.