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How does the valuable blunt-tail prawn see?

The valuable blunt-tail prawn (Gennadas valens) is a crustacean in the order Decapoda. Its eyes belong to the vision type Crustacean (mantis shrimp, crab).

Measured in this species: colour and sharpness. 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 valuable blunt-tail prawn (Gennadas valens), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
1 receptor class: 495 nm (MWS (green))
measured in this species
Measured[1]
SharpnessAcuity
0.17 cycles per degree
median of 1 compilation rows (method priority rule)
Measured[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
group default: mode of tier-A values in vision type V27 within phylum Arthropoda (1 species: Ligia exotica)
Group default[4]
Rods vs cones
no rods (invertebrate photoreceptors)
Group default[4]
Motion (flicker fusion)Flicker fusion frequency
22.5 Hz
median of 24 relatives in order Decapoda: Eugonatonotus crassus, Eumunida picta, Gastroptychus spinifer, Funchalia villosa, Janicella spinicauda, Oplophorus gracilirostris
Group default[5][6][7]

Other senses

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. AndrewPMeade/FabricTools, sciphy/data_utils/datasets/Arthropod.CompoundEyes.csv (acuity, body length, light, media for 281 arthropods; columns match Feller et al. 2021 Arthropod Struct Dev 60:101002). github.com/AndrewPMeade/FabricTools
  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. Haarlem CS, Hynes C, Jackson AL, Mitchell KJ, O'Connell RG, Healy K. 2026. Pace of ecology drives the tempo of visual perception across the animal kingdom. Nature Ecology & Evolution (doi:10.1038/s41559-026-02994-7). Figshare dataset 10.6084/m9.figshare.30556475. doi.org/10.6084/m9.figshare.30556475
  6. 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
  7. Lafitte A, Sordello R, Legrand M, Nicolas V, Obein G, Reyjol Y. 2022. A flashing light may not be that flashy: A systematic review on critical fusion frequencies. PLoS ONE 17(12): e0279718. S10 File (CFF database). doi.org/10.1371/journal.pone.0279718
  8. 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?