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How does the American woodcock see?

The American woodcock (Scolopax minor) is a bird in the order Charadriiformes. Its eyes belong to the vision type Panoramic grain-eater and wader.

Measured in this species: foveas and night vision. One measured dial: a value other than colour or sharpness is measured in this species; colour and sharpness are not measured here. Every value below carries its evidence level and sources; nothing is typed by hand.

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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 American woodcock (Scolopax minor), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
1 receptor class: 568 nm (LWS (long))
receptor set of nearest measured relative Leucophaeus atricilla (same order Charadriiformes)
Group default[1]
SharpnessAcuity
12.67 cycles per degree
allometry (Aves): log10(acuity_cpd) = intercept + slope * log10(eye_axial_length_mm); slope 0.9017, intercept 0.1397, R2 0.453, n 99 (fitted in this script; fitted range [4.36, 39.81] mm); eye_axial_length_mm 11.7 mm
Estimated[2]
Field of viewBinocular overlap
27.1°
median of 7 relatives in order Charadriiformes: Pluvialis apricaria, Rynchops niger, Larosterna inca, Anous stolidus, Anous tenuirostris, Onychoprion fuscatus
Group default[3][4]
Total field of view
360°
species-v1.csv
Measured (not re-verified)[5]
Sharp zones (foveas)Number of foveas
0
species-v1.csv text: none recorded
Measured (not re-verified)[5]
Fovea type
none		Measured (not re-verified)[5]
Night visionActivity pattern
diurnal
mode of 4 rows (of 4 rows): cathemeral; crepuscular; diurnal; not_nocturnal
Measured (not re-verified)[6][7][8][9]
Rods vs cones
cone-dominated
nocturnal -> rod-dominated; crepuscular / cathemeral / mixed -> mixed; diurnal -> cone-dominated
Derived[6][7][8][9]
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[10][11][12][13][14]

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. Ausprey I.J. & Ritland S. 2024. Eye morphology contributes to the ecology and evolution of the avian tree of life [Dataset]. Dryad. Digitised Table 7 of Ritland S. 1982, The allometry of the vertebrate eye, PhD dissertation, University of Chicago. Paper: Ausprey 2024 J Anim Ecol doi:10.1111/1365-2656.14141. doi.org/10.5061/dryad.3xsj3txq7
  3. 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
  4. 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
  5. species_v1:Martin 1994
  6. Anderson SR, Wiens JJ. 2017. Out of the dark: 350 million years of conservatism and evolution in diel activity patterns in vertebrates. Evolution 71:1944-1959. Dryad doi:10.5061/dryad.fg700. doi.org/10.5061/dryad.fg700
  7. Light conditions and the evolution of the visual system in birds (figshare dataset, SupplementaryDataset1). doi.org/10.6084/m9.figshare.22116371.v3
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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?