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How does the miami cave crayfish see?

The miami cave crayfish (Procambarus milleri) is a crustacean in the order Decapoda. Its eyes belong to the vision type Crustacean (mantis shrimp, crab).

Measured in this species: colour. 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 miami cave crayfish (Procambarus milleri), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
1 receptor class: 522 nm (MWS (green))
measured in this species
Measured[1][2]
SharpnessAcuity
0.37 cycles per degree
median of 1 relatives in genus Procambarus: Procambarus clarkii
Estimated[3]
Angle between facets
1.6°
median of 1 relatives in class Malacostraca: Phronima sedentaria
Group default[4]
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[5]
Rods vs cones
no rods (invertebrate photoreceptors)
Group default[5]
Motion (flicker fusion)Flicker fusion frequency
56 Hz
median of 1 relatives in family Cambaridae: Lacunicambarus diogenes
Estimated[6]

Other senses

Related animals

More crustaceans: all crustaceans with measured vision data.

Sources

  1. Porter ML et al. 2006 Table 1 (opsin accessions with lambda max; mostly cephalopod/arthropod) as extracted by VPOD. github.com/VisualPhysiologyDB/visual-physiology-opsin-db
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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

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