Evidence map›Paper›PMID 35946234›Full record

ArticleBiology letters2022

The ecological importance of the accuracy of environmental temperature measurements.

Melissa N Staines, David T Booth, Jacques-Oliver Laloë, Ian R Tibbetts, Graeme C Hays

Abstract read
In one paragraph

Article in Biology letters, 2022. 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. Article
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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

5 authors.

Melissa N StainesSchool of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0001-6449-5426
David T BoothSchool of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0002-3801-0488
Jacques-Oliver LaloëSchool of Life and Environmental Sciences, Deakin University, Geelong, Victoria 3216, Australia.ORCID 0000-0002-1437-1959
Ian R TibbettsSchool of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0002-1481-238X
Graeme C HaysSchool of Life and Environmental Sciences, Deakin University, Geelong, Victoria 3216, Australia.ORCID 0000-0002-3314-8189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implications of logger accuracy and precision are rarely considered prior to their application in many ecological studies. We assessed the accuracy and precision of three temperature data loggers widely used in ecological studies (Hobo®, iButton® and TinyTag®). Accuracy was highest in TinyTags (95% of readings were within 0.23°C of the true temperature) and lowest in HOBOs and iButtons (95% of were readings within 0.43°C and 0.49°C of the true temperature, respectively). The precision (standard deviation of the repeat measurements) was greatest in TinyTags (0.04°C), followed by iButtons (0.17°C) and then HOBOs (0.22°C). As a case study, we then considered how modelled estimates of sea turtle hatchling sex ratios (derived from temperature), could vary as a function of logger accuracy. For example, at 29°C when the mean sex ratio derived was 0.47 female, the sex ratio estimate from a single logger could vary between 0.40 and 0.50 for TinyTags and 0.29 and 0.56 for both HOBOs and iButtons. Our results suggest that these temperature loggers can provide reliable descriptions of sand temperature if they are not over-interpreted. Logger accuracy must be considered in future ecological studies in which temperature thresholds are important.

Indexed as

Sex RatioTurtlesAnimalsFemaleMaleTemperatureclimate warmingdata loggerssea turtlessex ratiostemperature-dependent sex determination

Identifiers

PMID35946234
PMCPMC9364146

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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.