Moving beyond the mean: an analysis of faecal corticosterone metabolites shows substantial variability both within and across white-tailed deer populations.

Nicholas M Sutton, Cory Suski, Keegan Payne, James P O'Dwyer

Abstract read

In one paragraph

Article in Conservation physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicholas M SuttonDepartment of Biology, Grinnell College, 1116 8th Avenue, Grinnell, IA, 50112, USA.ORCID https://orcid.org/0000-0002-1878-5112

Cory SuskiDepartment of Natural Resources and Environmental Sciences, University of Illinois at Urbana- Champaign, 1102 S. Goodwin Avenue, Urbana, IL, 61801, USA.

Keegan PayneDepartment of Natural Resources and Environmental Sciences, University of Illinois at Urbana- Champaign, 1102 S. Goodwin Avenue, Urbana, IL, 61801, USA.

James P O'DwyerDepartment of Plant Biology, University of Illinois at Urbana-Champaign, 505 S. Goodwin Avenue, Urbana, IL, 61801, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucocorticoid (GC) levels have significant impacts on the health and behaviour of wildlife populations and are involved in many essential body functions including circadian rhythm, stress physiology and metabolism. However, studies of GCs in wildlife often focus on estimating mean hormone levels in populations, or a subset of a population, rather than on assessing the entire distribution of hormone levels within populations. Additionally, explorations of population GC data are limited due to the tradeoff between the number of individuals included in studies and the amount of data per individual that can be collected. In this study, we explore patterns of GC level distributions in three white-tailed deer (

Indexed as

Abbreviations: fCM, faecal corticosterone metabolite levelFaecal corticosteroneGC, glucocorticoidglucocorticoid modellingglucocorticoidshormone distributionsHPA, hypothalamic–pituitary–adrenal

Identifiers

PMID39252885

DOI10.1093/conphys/coae062

PMCPMC11381565

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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.