Evidence map›Paper›PMID 36937069›Full record

ReviewEcology and evolution2023

The rise of animal biotelemetry and genetics research data integration.

Mara F Müller, Sam C Banks, Tara L Crewe, Hamish A Campbell

Open access · goldFull text readReview
In one paragraph

Review in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
    Review
  3. Article
  4. Ecological Characteristics of Large-Bodied Sharks in the East Sea of Korea.Animals : an open access journal from MDPI · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Chromosome-level assembly and annotation of the Xyrichtys novacula (Linnaeus, 1758) genome.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023
    Article
  9. Review
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

4 authors at 2 institutions in 2 countries.

Mara F MüllerResearch Institute for the Environment and Livelihoods Faculty of Science and Technology, Charles Darwin University Northern Territory Darwin Australia.ORCID https://orcid.org/0000-0001-6547-1004
Sam C BanksResearch Institute for the Environment and Livelihoods Faculty of Science and Technology, Charles Darwin University Northern Territory Darwin Australia.ORCID https://orcid.org/0000-0003-2415-0057
Tara L CreweDepartment of Natural Resources and Renewables Government of Nova Scotia Kentville Nova Scotia Canada.
Hamish A CampbellResearch Institute for the Environment and Livelihoods Faculty of Science and Technology, Charles Darwin University Northern Territory Darwin Australia.ORCID https://orcid.org/0000-0003-1428-1686
Charles Darwin University · AUGovernment of Nova Scotia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement and availability of innovative animal biotelemetry and genomic technologies are improving our understanding of how the movements of individuals influence gene flow within and between populations and ultimately drive evolutionary and ecological processes. There is a growing body of work that is integrating what were once disparate fields of biology, and here, we reviewed the published literature up until January 2023 (139 papers) to better understand the drivers of this research and how it is improving our knowledge of animal biology. The review showed that the predominant drivers for this research were as follows: (1) understanding how individual-based movements affect animal populations, (2) analyzing the relationship between genetic relatedness and social structuring, and (3) studying how the landscape affects the flow of genes, and how this is impacted by environmental change. However, there was a divergence between taxa as to the most prevalent research aim and the methodologies applied. We also found that after 2010 there was an increase in studies that integrated the two data types using innovative statistical techniques instead of analyzing the data independently using traditional statistics from the respective fields. This new approach greatly improved our understanding of the link between the individual, the population, and the environment and is being used to better conserve and manage species. We discuss the challenges and limitations, as well as the potential for growth and diversification of this research approach. The paper provides a guide for researchers who wish to consider applying these disparate disciplines and advance the field.

Indexed as

animal trackingbiotelemetrygeneticsgenomicsindividual‐based movementmovement ecology

Identifiers

PMID36937069
PMCPMC10019913
OpenAlexW4327558215

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read38
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 Socratic graph.