Evidence map›Paper›PMID 37043013›Full record

ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2023

Polarization vision in terrestrial hermit crabs.

Martin J How, Alasdair Robertson, Samuel P Smithers, David Wilby

Open access · hybridAbstract read
In one paragraph

Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Martin J HowSchool of Biological Sciences, University of Bristol, Bristol, UK. m.how@bristol.ac.uk.
Alasdair RobertsonSchool of Biological Sciences, University of Bristol, Bristol, UK.
Samuel P SmithersSchool of Biological Sciences, University of Bristol, Bristol, UK.
David WilbySchool of Biological Sciences, University of Bristol, Bristol, UK.
University of Bristol · GBNortheastern University · US

Funding

Engineering and Physical Sciences Research Council DSTLX-1000096651Royal Society UF140558
6 · The paper itself

Abstract

Polarization vision is used by a wide range of animals for navigating, orienting, and detecting objects or areas of interest. Shallow marine and semi-terrestrial crustaceans are particularly well known for their abilities to detect predator-like or conspecific-like objects based on their polarization properties. On land, some terrestrial invertebrates use polarization vision for detecting suitable habitats, oviposition sites or conspecifics, but examples of threat detection in the polarization domain are less well known. To test whether this also applies to crustaceans that have evolved to occupy terrestrial habitats, we determined the sensitivity of two species of land and one species of marine hermit crab to predator-like visual stimuli varying in the degree of polarization. All three species showed an ability to detect these cues based on polarization contrasts alone. One terrestrial species, Coenobita rugosus, showed an increased sensitivity to objects with a higher degree of polarization than the background. This is the inverse of most animals studied to date, suggesting that the ecological drivers for polarization vision may be different in the terrestrial environment.

Indexed as

AnomuraAnimalsEcosystemFemaleCrustaceanHermit crabPolarizationVisionVisual ecology

Identifiers

PMID37043013
PMCPMC10643299
OpenAlexW4365136172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.