Evidence map›Paper›PMID 36864890›Full record

ArticleCurrent zoology2022

Lower marine productivity increases agonistic interactions between sea lions and fur seals in Northern Pacific Patagonia.

Felipe Montalva, Hector Pavés, Diego Pérez-Venegas, Karin G Barrientos E, Carola Valencia, Diego Miranda-Urbina, Mauricio Seguel

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current zoology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 7 institutions in 2 countries.

Felipe MontalvaFacultad de Ciencias Biologicas, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Hector PavésDepartamento de Ciencias Básicas, Facultad de Ciencias, Universidad Santo Tomás, Osorno, Chile.
Diego Pérez-VenegasCentro de Investigación y Gestión de Recursos Naturales (CIGREN), Instituto de Biología, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile.
Karin G Barrientos EPrograma de Doctorado en Ciencias Agrarias, Escuela de Graduados de la, Facultad de Ciencias Agrarias y Alimentarias, Universidad Austral de Chile, Valdivia, Chile.
Carola ValenciaFacultad de Medicina Veterinaria, Sede Patagonia, Universidad San Sebastian, Puerto Montt, Chile.
Diego Miranda-UrbinaInstituto de Ciencias Biológicas, Universidad de Talca, Talca, Chile.
Mauricio SeguelDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Canada.ORCID https://orcid.org/0000-0002-0465-236X
Austral University of Chile · CLPontificia Universidad Católica de Chile · CLSan Sebastián University · CLUniversidad Santo Tomás · CLUniversity of Guelph · CAUniversity of Talca · CLUniversity of Valparaíso · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interspecific interactions are key drivers of individual and population-level fitness in a wide range of animals. However, in marine ecosystems, it is relatively unknown which biotic and abiotic factors impact behavioral interactions between competing species. We assessed the impact of weather, marine productivity, and population structure on the behavioral agonistic interactions between South American fur seals (SAFSs),

Indexed as

climate changeGuafo Islandinterspecific interactionssea surface temperatureSouth American fur sealSouth American sea lion

Identifiers

PMID36864890
PMCPMC9972520
OpenAlexW4210861705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.