Open the tool

How does the indo-Pacific gecko see?

The indo-Pacific gecko (Hemidactylus garnotii) is a reptile in the order not recorded. Its eyes belong to the vision type Colour or navigation at night.

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.

See your photo as the indo-Pacific geckoThis species is part of the full catalogue in the tool (full unlock). Your photo stays on your device.

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 indo-Pacific gecko (Hemidactylus garnotii), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
3 receptor classes: 363 nm (UVS), 464 nm (SWS (blue)), 521 nm (MWS (green))
measured in this species
Measured[1][2]
Ultraviolet
yes: at least one receptor peaks in the ultraviolet
Measured
SharpnessNo value in the catalogue.
Field of viewNo value in the catalogue.
Sharp zones (foveas)Number of foveas
2
mode of species-v1 relatives in class Squamata: Anolis carolinensis, Furcifer pardalis
Group default[3][4]
Fovea type
central fovea, temporal
Group default[3][4]
Night visionActivity pattern
nocturnal
mode of 3 rows (of 3 rows): Nocturnal; cathemeral; nocturnal
Measured (not re-verified)[1][5][6]
Rods vs cones
rod-dominated
nocturnal -> rod-dominated; crepuscular / cathemeral / mixed -> mixed; diurnal -> cone-dominated
Derived[1][5][6]
Motion (flicker fusion)Flicker fusion frequency
20.5 Hz
median of 1 relatives in family Gekkonidae: Gekko gecko
Estimated[7][8]

Related animals

More reptiles: all reptiles 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. VPOD in-vivo (MSP / single-cell) lambda max compendium, file scp_cleaned.csv, VPOD GitHub (Frazer et al. 2025 bioRxiv 10.1101/2025.08.22.671864). github.com/VisualPhysiologyDB/visual-physiology-opsin-db/tree/main/scripts_n_notebooks/vpod_ML_workflows/mine_n_match/data_sources/lmax/vpod
  3. species_v1:Fleishman et al. 1988 / Makaretz & Levine 1980
  4. species_v1:Ott & Schaeffel 1995
  5. Meiri 2024. SquamBase: a database of squamate (Reptilia: Squamata) traits. Global Ecol Biogeogr (data Zenodo 10602503).. doi.org/10.5281/zenodo.10602503
  6. 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
  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. 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
  9. 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?