Evidence map›Paper›PMID 31142765›Full record

ArticleScientific reports2019

Abundance estimates and habitat preferences of bottlenose dolphins reveal the importance of two gulfs in South Australia.

Kerstin Bilgmann, Guido J Parra, Lauren Holmes, Katharina J Peters, Ian D Jonsen, Luciana M Möller

Abstract read
In one paragraph

Article in Scientific reports, 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
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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

6 authors.

Kerstin BilgmannCetacean Ecology, Behaviour and Evolution Laboratory (CEBEL), College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia. kerstin.bilgmann@mq.edu.au.
Guido J ParraCetacean Ecology, Behaviour and Evolution Laboratory (CEBEL), College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia.
Lauren HolmesCetacean Ecology, Behaviour and Evolution Laboratory (CEBEL), College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia.
Katharina J PetersCetacean Ecology, Behaviour and Evolution Laboratory (CEBEL), College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia.ORCID http://orcid.org/0000-0002-5967-0928
Ian D JonsenMarine Vertebrate Conservation and Evolution Laboratory, Department of Biological Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
Luciana M MöllerCetacean Ecology, Behaviour and Evolution Laboratory (CEBEL), College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Informed conservation management of marine mammals requires an understanding of population size and habitat preferences. In Australia, such data are needed for the assessment and mitigation of anthropogenic impacts, including fisheries interactions, coastal zone developments, oil and gas exploration and mining activities. Here, we present large-scale estimates of abundance, density and habitat preferences of southern Australian bottlenose dolphins (Tursiops sp.) over an area of 42,438km

Indexed as

Conservation of Natural ResourcesEcosystemAnimal DistributionAnimalsBottle-Nosed DolphinEcological Parameter MonitoringPopulation DensitySeasonsSeawaterSouth AustraliaTemperature

Identifiers

PMID31142765
PMCPMC6541621

What OpenQuestion holds

Textmetadata
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.