Evidence map›Paper›PMID 37384246›Full record

ArticleEcology and evolution2023

Quantifying the age structure of free-ranging delphinid populations: Testing the accuracy of Unoccupied Aerial System photogrammetry.

Fabien Vivier, Randall S Wells, Marie C Hill, Kymberly M Yano, Amanda L Bradford, Eva M Leunissen, Aude Pacini, Cormac G Booth, Julie Rocho-Levine, Jens J Currie and 2 more

Abstract read
In one paragraph

Article 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Closing the air gap: the use of drones for studying wildlife ecophysiology.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  5. Article
  6. Article
  7. 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

12 authors.

Fabien VivierMarine Mammal Research Program Hawai'i Institute of Marine Biology University of Hawai'i at Mānoa Mānoa Hawai'i USA.ORCID https://orcid.org/0000-0002-0477-2150
Randall S WellsChicago Zoological Society's Sarasota Dolphin Research Program c/o Mote Marine Laboratory Sarasota Florida USA.
Marie C HillCooperative Institute for Marine and Atmospheric Research Research Corporation of the University of Hawai'i Honolulu Hawai'i USA.
Kymberly M YanoCooperative Institute for Marine and Atmospheric Research Research Corporation of the University of Hawai'i Honolulu Hawai'i USA.
Amanda L BradfordPacific Islands Fisheries Science Center NOAA Fisheries Honolulu Hawai'i USA.
Eva M LeunissenDepartment of Marine Science University of Otago Dunedin New Zealand.
Aude PaciniMarine Mammal Research Program Hawai'i Institute of Marine Biology University of Hawai'i at Mānoa Mānoa Hawai'i USA.
Cormac G BoothSMRU Consulting Scottish Oceans Institute University of St Andrews St Andrews UK.ORCID https://orcid.org/0000-0002-5804-3455
Julie Rocho-LevineDolphin Quest O'ahu Honolulu Hawai'i USA.
Jens J CurrieMarine Mammal Research Program Hawai'i Institute of Marine Biology University of Hawai'i at Mānoa Mānoa Hawai'i USA.
Philip T PattonMarine Mammal Research Program Hawai'i Institute of Marine Biology University of Hawai'i at Mānoa Mānoa Hawai'i USA.ORCID https://orcid.org/0000-0003-2059-4355
Lars BejderMarine Mammal Research Program Hawai'i Institute of Marine Biology University of Hawai'i at Mānoa Mānoa Hawai'i USA.ORCID https://orcid.org/0000-0001-8138-8606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the population health status of long-lived and slow-reproducing species is critical for their management. However, it can take decades with traditional monitoring techniques to detect population-level changes in demographic parameters. Early detection of the effects of environmental and anthropogenic stressors on vital rates would aid in forecasting changes in population dynamics and therefore inform management efforts. Changes in vital rates strongly correlate with deviations in population growth, highlighting the need for novel approaches that can provide early warning signs of population decline (e.g., changes in age structure). We tested a novel and frequentist approach, using Unoccupied Aerial System (UAS) photogrammetry, to assess the population age structure of small delphinids. First, we measured the precision and accuracy of UAS photogrammetry in estimating total body length (TL) of trained bottlenose dolphins (

Indexed as

conservationdemographydolphindronephotogrammetrypopulationprecisionUAS

Identifiers

PMID37384246
PMCPMC10293808

What OpenQuestion holds

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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.