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首页> 外文期刊>The anatomical record: advances in integrative anatomy and evolutionary biology >2D or Not 2D? Testing the Utility of 2D Vs. 3D Landmark Data in Geometric Morphometrics of the Sculpin Subfamily Oligocottinae (Pisces; Cottoidea)
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2D or Not 2D? Testing the Utility of 2D Vs. 3D Landmark Data in Geometric Morphometrics of the Sculpin Subfamily Oligocottinae (Pisces; Cottoidea)

机译:2D或不是2D? 测试2D对VS的实用程序 三维地标数据在Sculpin subfamily oligcotinae(双鱼座; cottoidea)的几何形态化学

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ABSTRACT We contrast 2D vs. 3D landmark‐based geometric morphometrics in the fish subfamily Oligocottinae by using 3D landmarks from CT‐generated models and comparing the morphospace of the 3D landmarks to one based on 2D landmarks from images. The 2D and 3D shape variables capture common patterns across taxa, such that the pairwise Procrustes distances among taxa correspond and the trends captured by principal component analysis are similar in the xy plane. We use the two sets of landmarks to test several ecomorphological hypotheses from the literature. Both 2D and 3D data reject the hypothesis that head shape correlates significantly with the depth at which a species is commonly found. However, in taxa where shape variation in the z ‐axis is high, the 2D shape variables show sufficiently strong distortion to influence the outcome of the hypothesis tests regarding the relationship between mouth size and feeding ecology. Only the 3D data support previous studies which showed that large mouth sizes correlate positively with high percentages of elusive prey in the diet. When used to test for morphological divergence, 3D data show no evidence of divergence, while 2D data show that one clade of oligocottines has diverged from all others. This clade shows the greatest degree of z ‐axis body depth within Oligocottinae, and we conclude that the inability of the 2D approach to capture this lateral body depth causes the incongruence between 2D and 3D analyses. Anat Rec, 301:806–818, 2018. ? 2017 Wiley Periodicals, Inc.
机译:摘要通过CT-Sengted模型的3D地标比对比为3D与3D地图基于地图的几何形态化学识别器,并根据图像的2D地标比较了3D地标的形态学。 2D和3D形变量捕获跨分类群的共同模式,使得分类群之间的成对汇率对应,并且主成分分析捕获的趋势在XY平面中类似。我们使用两套地标来测试文献中的几个生态孤独假设。 2D和3D数据均拒绝具有常用物种的深度的头部形状显着相关的假设。然而,在Z-XAXIS的形状变化高的速度中,2D形变量显示出足够强烈的变形,以影响关于口腔尺寸和喂养生态学之间关系的假设试验的结果。只有3D数据支持以前的研究,该研究表明,大口尺寸在饮食中具有高百分比的难以置信的猎物率呈正相关。当用于测试形态分歧时,3D数据显示没有发散的证据,而2D数据显示一滴过的oligocottines从其他人分歧。该思工显示oligocottinae内最大程度的Z轴体深度,我们得出结论,捕获该横向体深度的2D方法不能导致2D和3D分析之间的不协调。 ANAT REC,301:806-818,2018。 2017年Wiley期刊,Inc。

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