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How does the king penguin see?

The king penguin (Aptenodytes patagonicus) is a bird in the order Sphenisciformes. Its eyes belong to the vision type Penguin (underwater-tuned bird).

Measured in this species: sharpness 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 king penguin (Aptenodytes patagonicus), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
3 receptor classes: 403 nm (VS/SWS (violet)), 450 nm (SWS (blue)), 543 nm (LWS (long))
receptor set of nearest measured relative Spheniscus humboldti (same family Spheniscidae)
Estimated[1]
SharpnessAcuity
20.4 cycles per degree
median of 1 anatomical-ganglion rows (method priority rule)
Measured[2]
Field of viewBinocular overlap
27.5°
median of 133 relatives in class Aves: Accipiter cooperii, Spatula clypeata, Mareca penelope, Anas platyrhynchos, Ardeola ralloides, Baeolophus bicolor
Group default[3][4][5][6][7][8][9][10][11]
Total field of view
282°
median species-v1 total field of family Spheniscidae: Spheniscus humboldti
Estimated[12]
Sharp zones (foveas)Number of foveas
1
median of 48 relatives in class Aves: Branta canadensis, Cardinalis cardinalis, Passerina cyanea, Zenaida macroura, Cyanocitta cristata, Junco hyemalis
Group default[13][14][15]
Fovea type
single central fovea (displaced dorso-temporally from retinal centre)		Group default[13][14][15]
Night visionActivity pattern
diurnal
mode of 3 rows (of 3 rows): diurnal; not_nocturnal; photopic
Measured (not re-verified)[16][17][18]
Rods vs cones
cone-dominated
nocturnal -> rod-dominated; crepuscular / cathemeral / mixed -> mixed; diurnal -> cone-dominated
Derived[16][17][18]
Motion (flicker fusion)Flicker fusion frequency
88.5 Hz
median of 17 relatives in class Aves: Bubo virginianus, Melopsittacus undulatus, Passer domesticus, Taeniopygia guttata, Columba livia, Calypte anna
Group default[19][20][21][22][23]

Related animals

More birds: all birds with measured vision data.

Sources

  1. 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
  2. Caves EM, Brandley NC, Johnsen S (2018) Visual acuity and the evolution of signals. Trends Ecol Evol 33:358-372. Supplementary Tables S1-S3.. doi.org/10.1016/j.tree.2018.03.001
  3. Cantlay JC, Martin GR, McClelland SC, Potier S, O'Brien MF, Fernandez-Juricic E, Bond AL, Portugal SJ 2023. Binocular vision and foraging in ducks, geese and swans (Anatidae). Proc R Soc B 290: 20231213. ESM full data set (figshare collection 6781097).. doi.org/10.1098/rspb.2023.1213
  4. Lucas EA, Martin GR, Rocamora G, Portugal SJ. 2024. A seabird's eye view: visual fields of some seabirds (Laridae and Procellariidae) from tropical latitudes. The Science of Nature (Naturwissenschaften) 111. ESM 1.. doi.org/10.1007/s00114-024-01926-4
  5. Vision and foraging in structurally complex habitats: common moorhens (Gallinula chloropus). Ecology and Evolution 2026, e74060.. doi.org/10.1002/ece3.74060
  6. Pecsics T, Csorgo T. 2023. Ornis Hungarica 31(2):110-124. doi.org/10.2478/orhu-2023-0023
  7. Portugal SJ, Ozturk R, Murn CP, Potier S, Martin GR. 2023. Current Biology 33:R1142-R1143. doi.org/10.1016/j.cub.2023.09.016
  8. Potier S, Duriez O, Cunningham GB, et al. 2018. J Exp Biol 221:jeb177295. doi.org/10.1242/jeb.177295
  9. Potier S, Roulin A, Martin GR, Portugal SJ, Bonhomme V, Bouchet T, de Romans R, Meyrier E, Kelber A. 2023. Binocular field configuration in owls: the role of foraging ecology. Proc R Soc B 290: 20230664. Data figshare.. doi.org/10.1098/rspb.2023.0664
  10. Tyrrell LP, Moore BA, Loftis C, Fernandez-Juricic E 2017 (data 2017). The hawk-eyed songbird: retinal morphology, eye shape, and visual fields of an aerial insectivore. Am Nat 189(6). Dryad doi:10.5061/dryad.n7140.. doi.org/10.1086/691404
  11. Tyrrell LP, Fernandez-Juricic E 2017. Avian binocular vision: it's not just about what birds can see, it's also about what they can't. PLoS ONE 12(3): e0173235. S1 Table.. doi.org/10.1371/journal.pone.0173235
  12. species_v1:Hadden & Zhang 2023 (Table 1, primary ref [47])
  13. Moore BA, Tyrrell LP, Pita D, Bininda-Emonds ORP, Fernandez-Juricic E 2017. Does retinal configuration make the head and eyes of foveate birds move? Sci Rep 7: 38406. Appendix 1.. doi.org/10.1038/srep38406
  14. Potier S, Mitkus M, Bonadonna F, Duriez O, Isard P-F, Dulaurent T, Mentek M, Kelber A 2017. Eye size, fovea, and foraging ecology in accipitriform raptors. Brain Behav Evol 90: 232-242. Supplementary material (Tables S1, S2).. doi.org/10.1159/000479783
  15. Rodrigues T, Matter MM, Chiodini A, et al. 2026. Foveal vision in fast-flying birds hunting on the wing. bioRxiv 2026.06.05.730304. doi.org/10.64898/2026.06.05.730304
  16. Wilman H, Belmaker J, Simpson J, de la Rosa C, Rivadeneira MM, Jetz W. 2014. EltonTraits 1.0: species-level foraging attributes of the world's birds and mammals. Ecology 95:2027. BirdFuncDat.txt. doi.org/10.6084/m9.figshare.3559887.v1
  17. Schmitz L, Motani R. 2011. Science 332:705-708, SOM. doi.org/10.1126/science.1200043
  18. Moura et al. 2024. A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases. PLoS Biol 22:e3002658. TetrapodTraits v3.0.1.. doi.org/10.5281/zenodo.22536349
  19. Boström JE, Dimitrova M, Canton C, Håstad O, Qvarnström A, Ödeen A. 2016. Ultra-rapid vision in birds. PLoS ONE 11(3): e0151099. S1 Table. doi.org/10.1371/journal.pone.0151099
  20. 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
  21. 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
  22. 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
  23. 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

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