Laughlin, S. B. The metabolic cost of information—a fundamental factor in visual ecology. In Ecology of Sensing (eds Barth, F. G. & Schmid, A.) 169–185 (Springer, 2001); https://doi.org/10.1007/978-3-662-22644-5_9

Land, M. F. & Nilsson, D.-E. Animal Eyes (Oxford Univ. Press, 2012).

von Uexküll, J. in Instinctive Behavior 5–80 (International Univ. Press, 1934).

Donner, K. Temporal vision: measures, mechanisms and meaning. J. Exp. Biol. 224, jeb222679 (2021).

Reeves, A. in Handbook of Perception and Action (eds Prinz, W. & Bridgeman, B.) Vol. 1, 11–24 (Academic, 1996).

Brozek, J. & Keys, A. Changes in flicker-fusion frequency with age. J. Consult. Psychol. 9, 87–90 (1945).

Article 

Google Scholar
 

Misiak, H. Age and sex differences in critical flicker frequency. J. Exp. Psychol. 37, 318–332 (1947).

Article 
CAS 
PubMed 

Google Scholar
 

Chatterjee, P., Mohan, U., Krishnan, A. & Sane, S. P. Evolutionary constraints on flicker fusion frequency in Lepidoptera. J. Comp. Physiol. A 206, 671–681 (2020).

Article 

Google Scholar
 

Inger, R., Bennie, J., Davies, T. W. & Gaston, K. J. Potential biological and ecological effects of flickering artificial light. PLoS ONE 9, 98631 (2014).

Article 

Google Scholar
 

Petie, R., Hall, M. R., Hyldahl, M. & Garm, A. Visual orientation by the crown-of-thorns starfish (Acanthaster planci). Coral Reefs 35, 1139–1150 (2016).

Article 

Google Scholar
 

Kelly, D. H. Visual responses to time-dependent stimuli. I. Amplitude sensitivity measurements. J. Opt. Soc. Am. 51, 422–429 (1961).

Article 
CAS 
PubMed 

Google Scholar
 

Rider, A. T., Bruce Henning, G. & Stockman, A. Light adaptation controls visual sensitivity by adjusting the speed and gain of the response to light. PLoS ONE 14, e0220358 (2019).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar
 

Autrum, H. The electrophysiological analysis of the visual system in insects. Exp. Cell Res. 14, 429–439 (1958).


Google Scholar
 

Boström, J. E. et al. Ultra-rapid vision in birds. PLoS ONE 11, 3–9 (2016).

Article 

Google Scholar
 

Potier, S., Lieuvin, M., Pfaff, M. & Kelber, A. How fast can raptors see?. J. Exp. Biol. 223, jeb209031 (2020).

PubMed 

Google Scholar
 

Frank, T. M., Johnsen, S. & Cronin, T. W. Light and vision in the deep-sea benthos: II. Vision in deep-sea crustaceans. J. Exp. Biol. 215, 3344–3353 (2012).

Article 
PubMed 

Google Scholar
 

Healy, K., McNally, L., Ruxton, G. D., Cooper, N. & Jackson, A. L. Metabolic rate and body size are linked with perception of temporal information. Anim. Behav. 86, 685–696 (2013).

Article 
PubMed 
PubMed Central 

Google Scholar
 

D’Eath, R. B. Can video images imitate real stimuli in animal behaviour experiments?. Biol. Rev. 73, 267–292 (1998).

Article 

Google Scholar
 

Howard, J., Dubs, A. & Payne, R. The dynamics of phototransduction in insects—a comparative study. J. Comp. Physiol. 154, 707–718 (1984).

Article 

Google Scholar
 

Mebourou, E. K., Bernáth, B., Schenker, D. & Guerin, P. M. Vision and the genesis of survival strategies in tsetse flies: a laboratory study. J. Insect Physiol. 107, 212–223 (2018).

Article 
CAS 
PubMed 

Google Scholar
 

Bobkova, M. V., Tartakovskaya, O. S., Borissenko, S. L., Zhukov, V. V. & Meyer-Rochow, V. B. Restoration of morphological and functional integrity in the regenerating eye of the giant African land snail Achatina fulica. Acta Zool. 85, 1–14 (2004).

Article 

Google Scholar
 

Fritsches, K. A., Brill, R. W. & Warrant, E. J. Warm eyes provide superior vision in swordfishes. Curr. Biol. 15, 55–58 (2005).

Article 
CAS 
PubMed 

Google Scholar
 

Weihs, D. Stability versus maneuverability in aquatic locomotion. Integr. Comp. Biol. 42, 127–134 (2002).

Article 
PubMed 

Google Scholar
 

Nabawy, M. R. A., Sivalingam, G., Garwood, R. J., Crowther, W. J. & Sellers, W. I. Energy and time optimal trajectories in exploratory jumps of the spider Phidippus regius. Sci. Rep. 8, 7142 (2018).

Article 
PubMed 
PubMed Central 

Google Scholar
 

Van Leeuwen, J. L., De Groot, J. H. & Kier, W. M. Evolutionary mechanics of protrusible tentacles and tongues. Neth. J. Zool. 50, 113–139 (2000).

Article 

Google Scholar
 

Gilbert, C. Visual control of cursorial prey pursuit by tiger beetles (Cicindelidae). J. Comp. Physiol. 181, 217–230 (1997).

Article 

Google Scholar
 

Fleming, S. M. & Michel, M. Sensory horizons and the functions of conscious vision. Behav. Brain Sci. https://doi.org/10.1017/S0140525X25000068 (2025).

McComb, D. M., Frank, T. M., Hueter, R. E. & Kajiura, S. M. Temporal resolution and spectral sensitivity of the visual system of three coastal shark species from different light environments. Physiol. Biochem. Zool. 83, 299–307 (2010).

Article 
PubMed 

Google Scholar
 

Haarlem, C. S., O’Connell, R. G., Mitchell, K. J. & Jackson, A. L. The speed of sight: individual variation in critical flicker fusion thresholds. PLoS ONE 19, 1–13 (2024).

Article 

Google Scholar
 

Umino, Y. et al. The relationship between slow photoresponse recovery rate and temporal resolution of vision. J. Neurosci. 32, 14364–14373 (2012).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar
 

Hellmer, C. B., Bohl, J. M., Hall, L. M., Koehler, C. C. & Ichinose, T. Dopaminergic modulation of signal processing in a subset of retinal bipolar cells. Front. Cell. Neurosci. 14, 253 (2020).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar
 

Nagy, J., Ebbinghaus, B., Hoon, M. & Sinha, R. GABAA presynaptic inhibition regulates the gain and kinetics of retinal output neurons. eLife 10, e60994 (2021).

Samaha, J. & Postle, B. R. The speed of alpha-band oscillations predicts the temporal resolution of visual perception. Curr. Biol. 25, 2985–2990 (2015).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar
 

Haarlem, C. S., Mitchell, K. J., Jackson, A. L. & Connell, R. G. O. Individual peak alpha frequency correlates with visual temporal resolution, but only under specific task conditions. Eur. J. Neurosci. 60, 5591–5604 (2024).

Article 
CAS 
PubMed 

Google Scholar
 

Greenwood, V. J. et al. Does the flicker frequency of fluorescent lighting affect the welfare of captive European starlings? Appl. Anim. Behav. Sci. 86, 145–159 (2004).

Article 

Google Scholar
 

Harrison, S. E. & Gray, S. M. Effects of light pollution on bluegill foraging behavior. Trans. Am. Fish. Soc. 153, 152–162 (2024).

Article 
CAS 

Google Scholar
 

Lafitte, A. et al. Does a flashing artificial light have more or conversely less impacts on animals than a continuous one? A systematic review. Nat. Conserv. 54, 149–177 (2023).

Article 

Google Scholar
 

Lafitte, A. et al. A flashing light may not be that flashy: a systematic review on critical fusion frequencies. PLoS ONE 17, e0279718 (2022).

Article 
PubMed 
PubMed Central 

Google Scholar
 

de Souza, J. M. & Ventura, D. F. Comparative study of temporal summation and response form in hymenopteran photoreceptors. J. Comp. Physiol.165, 237–245 (1989).

Article 

Google Scholar
 

Myhrvold, N. P. et al. An amniote life-history database to perform comparative analyses with birds, mammals, and reptiles. Ecology 96, 3109–3109 (2015).

Article 

Google Scholar
 

Froese, R. & Pauly, D. (eds.) FishBase 2000: Concepts, Design and Data Sources (ICLARM, 2000).

Palomares, M. L. D. & Pauly, D. (eds) SeaLifeBase www.sealifebase.org (accessed 23 December 2024).

Ortega Hidalgo, M. M., Iparraguirre Bolaños, E. & Brea San-Nicolás, C. Biomass assessment in annelids: a photogrammetric method suitable for hatchlings and adults developed for Eisenia andrei. Span. J. Soil Sci. 7, 1–16 (2017).

Article 

Google Scholar
 

Nowak, R. Walker’s Mammals of the World (Johns Hopkins Univ. Press, 1999).

Handbook of the Birds of the World (Lynx Nature Books, 1992).

Parham, J. F. et al. Best practices for justifying fossil calibrations. Syst. Biol. 61, 346–359 (2012).

Article 
PubMed 

Google Scholar
 

Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).

Article 
CAS 
PubMed 

Google Scholar
 

Kuhn, T. S., Mooers, A. & Thomas, G. H. A simple polytomy resolver for dated phylogenies. Methods Ecol. Evol. 2, 427–436 (2011).

Article 

Google Scholar
 

Pyron, R. A. & Burbrink, F. T. Early origin of viviparity and multiple reversions to oviparity in squamate reptiles. Ecol. Lett. 17, 13–21 (2014).

Article 
PubMed 

Google Scholar
 

Thomson, R. C., Spinks, P. Q. & Bradley Shaffer, H. A global phylogeny of turtles reveals a burst of climate-associated diversification on continental margins. Proc. Natl Acad. Sci. USA 118, e2012215118 (2021).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar
 

Alexander Pyron, R. & Wiens, J. J. A large-scale phylogeny of Amphibia including over 2800 species, and a revised classification of extant frogs, salamanders, and caecilians. Mol. Phylogenet. Evol. 61, 543–583 (2011).

Article 
PubMed 

Google Scholar
 

Betancur-R, R. et al. The tree of life and a new classification of bony fishes. PLoS Curr. https://doi.org/10.1371/currents.tol.53ba26640df0ccaee75bb165c8c26288 (2013).

Stein, R. W. et al. Global priorities for conserving the evolutionary history of sharks, rays and chimaeras. Nat. Ecol. Evol. 2, 288–298 (2018).

Article 
PubMed 

Google Scholar
 

Benjamin Redelings, B. et al. Open tree of life synthetic tree. Version ott 3.7.2. Zenodo https://doi.org/10.5281/zenodo.3937741 (2019).

Hadfield, J. D. MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R package. J. Stat. Softw. 33, 1–22 (2010).

Article 

Google Scholar
 

R: a language and environment for statistical computing (R Foundation, 2025); https://www.r-project.org/

Hammer, D. X., Schmitz, H., Schmitz, A., Grady Rylander, H. & Welch, A. J. Sensitivity threshold and response characteristics of infrared detection in the beetle Melanophila acuminata (Coleoptera: Buprestidae). Comp. Biochem. Physiol. A 128, 805–819 (2001).

Article 
CAS 

Google Scholar
 

Hadfield, J. D. & Nakagawa, S. General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi-trait models for continuous and categorical characters. J. Evol. Biol. 23, 494–508 (2010).

Article 
CAS 
PubMed 

Google Scholar
 

Guillerme, T. & Healy, K. mulTree: a package for running MCMCglmm analysis on multiple trees. Zenodo https://doi.org/10.5281/zenodo.12902 (2014).

Gelman, A. & Rubin, D. B. Inference from iterative simulation using multiple sequences. Stat. Sci. 7, 457–511 (1992).

Article 

Google Scholar
 

Haarlem, C.S. Supplementary files for “pace of ecology drives the tempo of visual perception across the Animal Kingdom”. figshare https://doi.org/10.6084/m9.figshare.30556475 (2025).