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首页> 外文期刊>Current zoology >Characterizing adaptive morphological patterns related to diet in Bovidae (Mammalia, Artiodactyla))(In English)
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Characterizing adaptive morphological patterns related to diet in Bovidae (Mammalia, Artiodactyla))(In English)

机译:鉴定与牛科饮食相关的适应性形态学模式(哺乳动物,木偶藻)(英语)

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Morphological patterns in the craniodental structure of extant bovids indicative of ecological adaptations for feeding behavior were identified by stepwise discriminant analysis (SCDA). The analyses were carried out using 28 craniodental measurements from 72 extant bovid species. The discriminant functions obtained allow the characterization of six different types of dietary adaptations: general grazers, fresh-grass grazers, mixed-feeders from open habitat, browsers, mixed-feeders from closed habitat, and frugivores. The predictive ability of the algorithms was tested with 1063 specimens, most of them lacking one or more measurements. The mean predictive ability of the discriminant functions over these specimens (94%) is only slightly lower than over the species used to obtain them (98%). Given that the algorithms involve small sets of craniodental measurements, they can also be applied to non-complete specimens from archaeological assemblages. These algorithms , combined with those obtained using postcranial measurements for estimating adaptations related to locomotor performance and habitat choice, are useful for deriving inferences on the autecology of ancient bovids and may be used in paleoenvironmental reconstruction [ Acta Zoologica Sinica 52( 6 ): 988–1008, 2006].
机译:通过逐步判别分析(SCDA)鉴定了现存牛的颅齿结构中的形态学模式,表明其生态适应采食行为。使用来自72个现存牛科物种的28个颅齿测量数据进行了分析。所获得的判别函数可以表征六种不同类型的饮食适应:普通食草者,新鲜草食者,来自开放栖息地的混合饲养者,浏览器,来自封闭栖息地的混合饲养者和食肉动物。该算法的预测能力用1063个样本进行了测试,其中大多数样本缺乏一项或多项测量。这些样本的判别功能的平均预测能力(94%)仅略低于用于获取它们的物种的判别能力(98%)。由于该算法涉及少量的颅齿测量,因此它们也可以应用于考古组合中的不完整标本。这些算法与使用颅后测量法估算的与运动能力和栖息地选择相关的适应性算法相结合,可用于推论古代牛科动物的自律性,可用于古环境重建[动物学报52(6):988– 1008,2006]。

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