Evidence map›Paper›PMID 41649039›Full record

ArticleThe Journal of animal ecology2026

Long-term trends of epibionts reflect Mediterranean striped dolphin abundance shifts caused by morbillivirus epidemics.

Sofía Ten, Gates Dupont, Juan Antonio Raga, Andy P Dobson, Francisco Javier Aznar

Abstract read
In one paragraph

Article in The Journal of animal ecology, 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. 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.

Sofía TenMarine Zoology Unit, Cavanilles Institute of Biodiversity and Evolutionary Biology, Universitat de València, Valencia, Spain.ORCID https://orcid.org/0000-0002-7284-6916
Gates DupontDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.ORCID https://orcid.org/0000-0003-1175-0694
Juan Antonio RagaMarine Zoology Unit, Cavanilles Institute of Biodiversity and Evolutionary Biology, Universitat de València, Valencia, Spain.ORCID https://orcid.org/0000-0003-2687-2539
Andy P DobsonDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.ORCID https://orcid.org/0000-0002-9678-1694
Francisco Javier AznarMarine Zoology Unit, Cavanilles Institute of Biodiversity and Evolutionary Biology, Universitat de València, Valencia, Spain.ORCID https://orcid.org/0000-0002-1316-1175

Funding

Conselleria de Educación, Cultura y Universidades (Generalitat Valenciana) CIAICO/2024/110Universitat de València UV-INV-PREDOC15-265927VARACOMVAL of the Biodiversity Foundation of the Ministry for the Ecological Transition and the Demographic Challenge (MITECO), Government of Spain
6 · The paper itself

Abstract

Since 1990, Mediterranean striped dolphins, Stenella coeruleoalba, have suffered two mass mortality events caused by the dolphin morbillivirus (DMV), but the population-level impact is unknown because abundance estimates are spatio-temporally sparse. This study investigates whether data from epibionts of striped dolphins-the barnacle Xenobalanus globicipitis, the cyamid Syncyamus aequus, and the copepod Pennella balaenoptera, with different life cycles and degrees of specificity-could provide indirect evidence on host population dynamics. To address this question, we combined empirical and theoretical approaches. First, we used Generalized Additive Models (GAMs) to examine occurrence trends of the three epibiotic species over the period 1980-2023 for both striped dolphins and other sympatric cetacean species that did not suffer DMV outbreaks. Second, we developed a two-step theoretical modeling approach to investigate the epidemiology of these DMV outbreaks (SIR model) and to link dolphin population abundance shifts with the epibiont trends observed empirically (mechanistic model). The SIR model provided coarse estimates of the impact of DMV on the striped dolphin population under two scenarios with varying virus-induced mortality and duration of the infectious period. These estimates were then used to simulate the effect of dolphin population shifts on its epibionts through mechanistic models. Models indicated that DMV-induced shifts in striped dolphin population dynamics have cascading effects on the population abundance of X. globicipitis and S. aequus, whereas the population of the less host-specific P. balaenoptera was unaffected. Together, long-term trends in the occurrence of host-specific epibionts can serve as an indicator of host abundance shifts.

Indexed as

CopepodaMorbillivirusMorbillivirus InfectionsStenellaAnimalsMediterranean SeaModels, BiologicalPopulation DensityPopulation Dynamicscetaceandolphin morbillivirusepibiontGAMhost–parasite interactionsmarine mammal epidemiologypopulation dynamicsSIR model

Identifiers

PMID41649039
PMCPMC12957715

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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.