Spontaneous quantity discrimination in the Australian sleepy lizard (Tiliqua rugosa)

Author:

Szabo Birgit1ORCID,Holmes Madeleine L2ORCID,Ashton Benjamin J2ORCID,Whiting Martin J2ORCID

Affiliation:

1. Division of Behavioural Ecology, Institute of Ecology and Evolution, University of Bern , Wohlenstrasse 50a, 3032, Bern , Switzerland

2. School of Natural Sciences, Macquarie University , 205B Culloden Road, Sydney, NSW 2109 , Australia

Abstract

Abstract Animals employ quantitative abilities to gauge crucial aspects of their environment, such as food or predator density in a given area or the number of eggs in a nest. These quantitative skills hold ecological implications and can impact an animal’s fitness. However, our comprehension of how these abilities intersect with environmental challenges remains limited. We tested for spontaneous quantity discrimination in the sleepy lizard (Tiliqua rugosa), a long-lived species known for forming life-long pair bonds in which pairs come together for the breeding season. We subjected lizards to a Y-maze experiment presenting both discrete (comparisons involving two vs. four, two vs. six, two vs. eight, four vs. six, four vs. eight, and six vs. eight pieces) and equivalent continuous combinations (single pieces differing in size) of pumpkin pieces. Our findings revealed that sleepy lizards exhibited spontaneous quantity discrimination, favoring the larger quantity in three discrete comparisons (eight vs. two, two vs. six, four vs. six) and two continuous comparisons (eight vs. two, eight vs. four). However, low accuracy may be attributable to difficulty in visual acuity exacerbated by difficulty discriminating quantities at small ratios. Furthermore, we found no evidence for a speed-accuracy trade-off in their decision-making process. Our results suggest that sleepy lizards likely employ multiple cues to estimate quantity accurately. Considering these results in the context of previous studies on various lizard species, it becomes apparent that lizards, as a group, offer a valuable model for unraveling the evolution of cognition, given their diverse ecology and sociobiology.

Funder

Macquarie University Research Fellowship

Publisher

Oxford University Press (OUP)

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

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