Birgit Szabo, Madeleine L Holmes, Benjamin J Ashton, Martin J Whiting
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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.","PeriodicalId":8840,"journal":{"name":"Behavioral Ecology","volume":"166 1","pages":"0"},"PeriodicalIF":2.5000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spontaneous quantity discrimination in the Australian sleepy lizard (<i>Tiliqua rugosa</i>)\",\"authors\":\"Birgit Szabo, Madeleine L Holmes, Benjamin J Ashton, Martin J Whiting\",\"doi\":\"10.1093/beheco/arad089\",\"DOIUrl\":null,\"url\":null,\"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. 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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.\",\"PeriodicalId\":8840,\"journal\":{\"name\":\"Behavioral Ecology\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral Ecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/beheco/arad089\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/beheco/arad089","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 1
摘要
动物运用定量能力来衡量其环境的关键方面,例如特定区域的食物或捕食者密度或巢中蛋的数量。这些定量技能具有生态学意义,可以影响动物的适应性。然而,我们对这些能力如何与环境挑战相结合的理解仍然有限。我们测试了昏昏欲睡的蜥蜴(Tiliqua rugosa)的自发数量辨别,这是一种长寿的物种,以形成终生的成对关系而闻名,在繁殖季节成对聚集在一起。我们对蜥蜴进行了y迷宫实验,展示了离散南瓜片(包括2块与4块、2块与6块、2块与8块、4块与6块、6块与8块的比较)和等效连续南瓜片组合(单个大小不同的南瓜片)。我们的研究结果表明,困倦的蜥蜴表现出自发的数量歧视,在三个离散比较(8 vs. 2、2 vs. 6、4 vs. 6)和两个连续比较(8 vs. 2、8 vs. 4)中偏好较大的数量。然而,低准确性可能是由于难以区分小比例的数量而加剧了视力的困难。此外,我们没有发现证据表明他们的决策过程中存在速度和准确性的权衡。我们的研究结果表明,困倦的蜥蜴可能会使用多种线索来准确估计数量。考虑到这些结果在之前对各种蜥蜴物种的研究背景下,很明显,蜥蜴作为一个群体,为揭示认知的进化提供了一个有价值的模型,考虑到它们多样化的生态和社会生物学。
Spontaneous quantity discrimination in the Australian sleepy lizard (Tiliqua rugosa)
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.
期刊介绍:
Studies on the whole range of behaving organisms, including plants, invertebrates, vertebrates, and humans, are included.
Behavioral Ecology construes the field in its broadest sense to include 1) the use of ecological and evolutionary processes to explain the occurrence and adaptive significance of behavior patterns; 2) the use of behavioral processes to predict ecological patterns, and 3) empirical, comparative analyses relating behavior to the environment in which it occurs.