Evidence map›Paper›PMID 36859381›Full record

ReviewMovement ecology2023

Residency and space use estimation methods based on passive acoustic telemetry data.

S Kraft, M Gandra, R J Lennox, J Mourier, A C Winkler, D Abecasis

Abstract readReview
In one paragraph

Review in Movement ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

S KraftCenter of Marine Sciences (CCMAR), Universidade do Algarve, Faro, Portugal. sebakraft@gmail.com.ORCID https://orcid.org/0000-0003-0719-8040
M GandraCenter of Marine Sciences (CCMAR), Universidade do Algarve, Faro, Portugal.ORCID https://orcid.org/0000-0003-1506-5141
R J LennoxLaboratory for Freshwater Ecology and Inland Fisheries at NORCE Norwegian Research Center, Bergen, Norway.ORCID https://orcid.org/0000-0003-1010-0577
J MourierMARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France.ORCID https://orcid.org/0000-0001-9019-1717
A C WinklerCenter of Marine Sciences (CCMAR), Universidade do Algarve, Faro, Portugal.ORCID https://orcid.org/0000-0001-7864-8243
D AbecasisCenter of Marine Sciences (CCMAR), Universidade do Algarve, Faro, Portugal.ORCID https://orcid.org/0000-0002-9802-8153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acoustic telemetry has helped overcome many of the challenges faced when studying the movement ecology of aquatic species, allowing to obtain unprecedented amounts of data. This has made it into one of the most widely used methods nowadays. Many ways to analyse acoustic telemetry data have been made available and deciding on how to analyse the data requires considering the type of research objectives, relevant properties of the data (e.g., resolution, study design, equipment), habits of the study species, researcher experience, among others. To ease this decision process, here we showcase (1) some of the methods used to estimate pseudo-positions and positions from raw acoustic telemetry data, (2) methods to estimate residency and (3) methods to estimate two-dimensional home and occurrence range using geometric or hull-based methods and density-distribution methods, a network-based approach, and three-dimensional methods. We provide examples of some of these were tested using a sample of real data. With this we intend to provide the necessary background for the selection of the method(s) that better fit specific research objectives when using acoustic telemetry.

Indexed as

BiotelemetryData analysisHome rangeMovement ecologyRange distribution

Identifiers

PMID36859381
PMCPMC9976422

What OpenQuestion holds

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LicenceCC BY
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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.