Evidence map›Paper›PMID 31541510›Full record

ArticleEcological applications : a publication of the Ecological Society of America2019

The cresting wave: larval settlement and ocean temperatures predict change in the American lobster harvest.

Noah G Oppenheim, Richard A Wahle, Damian C Brady, Andrew G Goode, Andrew J Pershing

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The cresting wave: larval settlement and ocean temperatures predict change in the American lobster harvest.Ecological applications : a publication of the Ecological Society of America · 2019
    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

5 authors.

Noah G OppenheimUniversity of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.ORCID 0000-0002-5685-0560
Richard A WahleUniversity of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.ORCID 0000-0002-9086-5862
Damian C BradyUniversity of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.ORCID 0000-0001-9640-2968
Andrew G GoodeUniversity of Maine, School of Marine Sciences, Darling Marine Center, Walpole, Maine, 04573, USA.ORCID 0000-0001-9801-3501
Andrew J PershingGulf of Maine Research Institute, Commercial Street, Portland, Maine, 04101, USA.ORCID 0000-0003-4432-0850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adding to the challenge of predicting fishery recruitment in a changing environment is downscaling predictions to capture locally divergent trends over a species' range. In recent decades, the American lobster (Homarus americanus) fishery has shifted poleward along the northwest Atlantic coast, one of the most rapidly warming regions of the world's oceans. Building on evidence that early post-settlement life stages predict future fishery recruitment, we describe enhancements to a forecasting model that predict landings using an annual larval settlement index from 62 fixed sites among 10 study areas from Rhode Island, USA to New Brunswick, Canada. The model is novel because it incorporates local bottom temperature and disease prevalence to scale spatial and temporal changes in growth and mortality. For nine of these areas, adding environmental predictors significantly improved model performance, capturing a landings surge in the eastern Gulf of Maine, and collapse in southern New England. On the strength of these analyses, we project landings within the next decade to decline to near historical levels in the Gulf of Maine and no recovery in the south. This approach is timely as downscaled ocean temperature projections enable decision makers to assess their options under future climate scenarios at finer spatial scales.

Indexed as

Climate ChangeNephropidaeAnimalsCanadaLarvaMaineNew EnglandOceans and SeasRhode IslandTemperatureclimate adaptationcrustaceanenvironmental gradientsfisheriesforecastingGulf of MaineHomarus americanuslobsterrecruitment processesregional downscaling

Identifiers

PMID31541510
PMCPMC6916173

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.