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How many color metrics do we need? Evaluating how different color-scoring procedures explain carotenoid pigment content in avian bare-part and plumage ornaments

机译:我们需要多少个颜色指标?评估不同的颜色评分程序如何解释禽类裸露和羽毛装饰物中类胡萝卜素的含量

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For a variety of technical and conceptual reasons, biologists have come to use several different methods to quantify the colors of animals. However, the relative abilities of these different color-scoring procedures to capture variation in the actual color-generating mechanisms—pigment or structural composition of the integument—have never been tested systematically. Here, we examined which commonly employed color metrics predict carotenoid content of ornaments in three avian species (house finch Carpodacus mexicanus, mallard duck Anas platyrhynchos, and zebra finch Taeniopygia guttata). We used spectrophotometry to measure reflectance spectra from beak and feather tissue, calculated numerous color metrics (e.g., hue, chroma, brightness, principal components, and tetrahedral color space position) from these spectra, and determined carotenoid content at the site of color measurement with high-performance liquid chromatography. We found that several principal component, tristimulus, and avian visual model metrics significantly correlated with carotenoid content of house finch feathers and duck beaks. Carotenoid content of mallard beaks was most closely correlated with brightness and saturation metrics, whereas in house finch feathers, carotenoid concentration was best captured by hue and saturation metrics. According to tristimulus scores and visual models, we found that the ultraviolet portion of the spectrum was not an essential predictor of variation in carotenoid content. Also, visual model chromatic contrasts generally were not significant predictors of carotenoid content, although some achromatic contrasts and tetrahedral color space vector parameters were. Our results indicate that numerous methods, especially tristimulus scores, are suitable for capturing pigment-based color variation in two carotenoid-containing ornaments, and we discuss the merits and shortcomings of these different approaches. In contrast, there were no significant relationships between any color metrics and the carotenoid content of zebra finch beaks, suggesting that other color-generating mechanisms besides carotenoids may contribute to color variability in this species.
机译:由于各种技术和概念上的原因,生物学家开始使用几种不同的方法来量化动物的颜色。然而,从未系统地测试过这些不同的颜色评分程序捕获实际颜色生成机制(外皮的颜料或结构成分)中的变化的相对能力。在这里,我们检查了常用的颜色指标来预测三种禽类(室内雀科Carpodacus mexicanus,野鸭鸭Anas platyrhynchos和斑马雀科Taeniopygia guttata)中类胡萝卜素的含量。我们使用分光光度法测量了喙和羽毛组织的反射光谱,从这些光谱中计算出许多颜色指标(例如,色相,色度,亮度,主成分和四面体颜色空间位置),并在颜色测量位置确定类胡萝卜素含量高效液相色谱。我们发现,几个主要成分,三刺激和鸟类视觉模型指标与室内雀科羽毛和鸭嘴的类胡萝卜素含量显着相关。绿头鸭喙中的类胡萝卜素含量与亮度和饱和度指标最密切相关,而在雀科羽毛中,色相和饱和度指标最能捕获类胡萝卜素浓度。根据三刺激评分和视觉模型,我们发现光谱的紫外线部分不是类胡萝卜素含量变化的必要预测因子。此外,尽管有些消色差对比度和四面体颜色空间矢量参数是可观的,但视觉模型色差通常不是类胡萝卜素含量的重要预测指标。我们的结果表明,许多方法(尤其是三刺激评分)都适用于捕获两种含类胡萝卜素的装饰品中基于颜料的颜色变化,并且我们讨论了这些不同方法的优缺点。相比之下,斑马雀科喙的任何颜色指标与类胡萝卜素含量之间都没有显着的关系,这表明除类胡萝卜素外,其他颜色生成机制也可能导致该物种的颜色变异。

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