Evidence map›Paper›PMID 39944168›Full record

ArticleEcology and evolution2024

Resource selection by a megaomnivore in a marine foraging habitat.

Andrew S Maurer, Tomo Eguchi, Garrett E Lemons, Robin A LeRoux, Erin L LaCasella, Calandra N Turner Tomaszewicz, Megan E Hanna, Jessica Curran, Bryant Chesney, Sheila V Madrak and 1 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Green TurtleEcology and evolution · 2026
    Article
  2. Article
  3. 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

11 authors.

Andrew S MaurerNational Research Council Washington District of Columbia USA.ORCID https://orcid.org/0000-0002-7602-2295
Tomo EguchiNOAA Southwest Fisheries Science Center La Jolla California USA.
Garrett E LemonsNOAA Southwest Fisheries Science Center La Jolla California USA.
Robin A LeRouxNOAA Southwest Fisheries Science Center La Jolla California USA.
Erin L LaCasellaNOAA Southwest Fisheries Science Center La Jolla California USA.
Calandra N Turner TomaszewiczNOAA Southwest Fisheries Science Center La Jolla California USA.
Megan E HannaUnited States Navy, Naval Facilities Engineering Command Southwest San Diego California USA.
Jessica CurranUnited States Navy, Navy Region Southwest San Diego California USA.
Bryant ChesneyNOAA West Coast Regional Office Long Beach California USA.
Sheila V MadrakSan Diego Miramar College San Diego California USA.
Jeffrey A SeminoffNOAA Southwest Fisheries Science Center La Jolla California USA.ORCID https://orcid.org/0000-0002-3654-9957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitat-based approaches to animal conservation are bolstered by an understanding of resource selection, that is, use of resources (i.e., habitat features) relative to their availability in the environment. Quantifying resource selection is especially valuable when data characterizing animal space use are limited, as is often the case with mobile and/or cryptic species. Documenting associations with habitat features can better inform management in space in time, while also revealing key insight into movement ecology and behavior. Here, we evaluate resource selection by a megaomnivore whose highly mobile nature within marine habitats has resulted in an incomplete understanding of drivers of space use. We used satellite telemetry to track 29 green turtles (

Indexed as

Chelonia mydasFastlocresource selection functionsatellite telemetryseagrasssea turtle

Identifiers

PMID39944168
PMCPMC11815335

What OpenQuestion holds

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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.