Evidence map›Paper›PMID 40936222›Full record

ArticleEcological applications : a publication of the Ecological Society of America2025

Seasonal asynchrony and harvest diversification contribute to demersal finfish fisheries stability in Chesapeake Bay.

Sean B Hardison, Jonathan S Lefcheck, Shelby B White, Maowei Liang, Y Stacy Zhang, Christopher J Patrick, Andrew M Scheld, Robert J Latour, F Joel Fodrie, Sean C Anderson and 1 more

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2025. 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. Seasonal asynchrony and harvest diversification contribute to demersal finfish fisheries stability in Chesapeake Bay.Ecological applications : a publication of the Ecological Society of America · 2025
    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

11 authors.

Sean B HardisonDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0002-9028-219X
Jonathan S LefcheckUniversity of Maryland Center for Environmental Science, Cambridge, Maryland, USA.ORCID https://orcid.org/0000-0002-8787-1786
Shelby B WhiteVirginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA.
Maowei LiangCedar Creek Ecosystem Science Reserve, University of Minnesota, East Bethel, Minnesota, USA.ORCID https://orcid.org/0000-0002-1517-0497
Y Stacy ZhangDepartment of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0001-6611-9846
Christopher J PatrickVirginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA.ORCID https://orcid.org/0000-0002-9581-8168
Andrew M ScheldVirginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA.
Robert J LatourVirginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA.
F Joel FodrieInstitute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, USA.
Sean C AndersonPacific Biological Station, Fisheries and Oceans Canada, Nanaimo, British Columbia, Canada.ORCID https://orcid.org/0000-0001-9563-1937
Max C N CastoraniDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0002-7372-9359

Funding

NSF-DEB 1832221NSF-DEB 2425178NSF-OCE 2023555NSF-OCE 2337532U.S. Fish and Wildlife ServiceVirginia Sea GrantVMRC
6 · The paper itself

Abstract

Biodiversity can confer temporal stability to ecosystem processes through asynchrony in species' abundances and may promote asynchrony and stability of commercial fishing harvests derived from exploited species. However, the linkages between asynchrony in the population dynamics of commercially harvested species and asynchrony of associated harvests have been difficult to resolve due to ecological, social, and economic dynamics that mediate resource extraction. Here, we explored coupled human-ecological relationships and emergent asynchrony using commercial fishing harvest data and fisheries-independent trawl surveys in two regions (Maryland and Virginia) of Chesapeake Bay, USA, from 2002 to 2018. For each region, we sought to identify how seasonal (within-year) asynchrony among harvested fish species contributed to (1) seasonal asynchrony in the harvests of these species and (2) within-year stability and economic value of harvests. We found that, in Maryland, seasonal closure of striped bass (Morone saxatilis) fishing resulted in asynchrony by forcing switching to alternative stocks. In Virginia, seasonal migration of harvested species to and from the Chesapeake Bay promoted harvest compensation and therefore harvest asynchrony. However, this effect was negated by the concurrent effects of an increase in the evenness of species dynamics on harvest compensation, reflecting changes in fishing patterns, primarily following declines in the biomass of Atlantic croaker (Micropogonias undulatus). Our findings show that both social (direct management actions and behavioral responses) and emergent properties of ecological systems can influence asynchrony in dynamics of exploited populations and commercial harvests, with implications for their continued management and sustainability.

Indexed as

BiodiversityFisheriesFishesSeasonsAnimalsBaysConservation of Natural ResourcesMarylandPopulation DynamicsVirginiaasynchronycommercial fisherieslong‐term ecological researchportfolio effectssocial‐ecological systemspatiotemporal modelingstability

Identifiers

PMID40936222
PMCPMC12426367

What OpenQuestion holds

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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.