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How does the wharf roach see?

The wharf roach (Ligia exotica) is a crustacean in the order Isopoda. Its eyes belong to the vision type Crustacean (mantis shrimp, crab).

Measured in this species: colour and night vision. Measured colour or sharpness: a measured receptor set or acuity in this species; other dials come from relatives or group defaults. Every value below carries its evidence level and sources; nothing is typed by hand.

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What stands out

The six dials

Evidence levels: how the tiers work. "Measured" means a value measured in this species; "Estimated" values come from a close relative or an eye-size formula.

Vision values for the wharf roach (Ligia exotica), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
3 receptor classes: 340 nm (UVS), 460 nm (SWS (blue)), 520 nm (MWS (green))
measured in this species
Measured[1]
Ultraviolet
yes: at least one receptor peaks in the ultraviolet
Measured
SharpnessAcuity
0.05 cycles per degree
median of 1 relatives in order Isopoda: Natatolana borealis
Group default[2]
Angle between facets
1.6°
median of 1 relatives in class Malacostraca: Phronima sedentaria
Group default[3]
Eye type
compound eye
Field of viewNo value in the catalogue.
Sharp zones (foveas)No value in the catalogue.
Night visionActivity pattern
nocturnal
mode of 1 rows (of 1 rows): nocturnal
Measured[4]
Rods vs cones
no rods (invertebrate photoreceptors)
nocturnal -> rod-dominated; crepuscular / cathemeral / mixed -> mixed; diurnal -> cone-dominated
Derived[4]
Motion (flicker fusion)Flicker fusion frequency
120 Hz
median of 1 relatives in genus Ligia: Ligia occidentalis
Estimated[5]

Related animals

More crustaceans: all crustaceans with measured vision data.

Sources

  1. Porter ML. Crustacean photoreceptor lambda max compilation, Table 1-1 (dissertation, "Porter_2005" in VPOD); extracted from PDF by VPOD with tabula. github.com/VisualPhysiologyDB/visual-physiology-opsin-db
  2. Feller KD, Sharkey CR, McDuffee-Altekruse A, Bracken-Grissom HD, Lord NP, Porter ML, Schweikert LE 2021. Surf and turf vision: patterns and predictors of visual acuity in compound eye evolution. Arthropod Structure & Development 60:101002. doi.org/10.1016/j.asd.2020.101002
  3. Bagheri Z, Jessop A, Partridge J et al. 2022. A new computational model illuminates the extraordinary eyes of Phronima. PLOS Computational Biology. doi.org/10.1371/journal.pcbi.1010545
  4. Longcore T. 2023. A compendium of photopigment peak sensitivities and visual spectral response curves of terrestrial wildlife to guide design of outdoor nighttime lighting. Basic Appl Ecol 73:40-50. doi:10.1016/j.baae.2023.09.002. doi.org/10.5281/zenodo.8432720
  5. Inger R, Bennie J, Davies TW, Gaston KJ. 2014. Potential biological and ecological effects of flickering artificial light. PLoS ONE 9(5): e98631. Table 3. doi.org/10.1371/journal.pone.0098631
  6. Healy K, McNally L, Ruxton GD, Cooper N, Jackson AL. 2013. Metabolic rate and body size are linked with perception of temporal information. Animal Behaviour 86:685-696. Table 1. doi.org/10.1016/j.anbehav.2013.06.018

Every value cites its sources (all sources). Data: catalogue-v1, built 2026-09-29. Accuracy notes: how accurate is this?