Akkaynak Derya, Siemann Liese A, Barbosa Alexandra, Mäthger Lydia M
Marine Biological Laboratory, Bell Center, Woods Hole, MA 02543, USA; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Oceanography and Applied Ocean Science, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA.
Marine Biological Laboratory, Bell Center, Woods Hole, MA 02543, USA; Coonamessett Farm Foundation, 277 Hatchville Road, East Falmouth, MA 02536, USA.
R Soc Open Sci. 2017 Mar 8;4(3):160824. doi: 10.1098/rsos.160824. eCollection 2017 Mar.
Flounder change colour and pattern for camouflage. We used a spectrometer to measure reflectance spectra and a digital camera to capture body patterns of two flounder species camouflaged on four natural backgrounds of different spatial scale (sand, small gravel, large gravel and rocks). We quantified the degree of spectral match between flounder and background relative to the situation of in which flounder and background were assumed to have identical spectral distribution. Computations were carried out for three biologically relevant observers: monochromatic squid, dichromatic crab and trichromatic guitarfish. Our computations present a new approach to analysing datasets with multiple spectra that have large variance. Furthermore, to investigate the spatial match between flounder and background, images of flounder patterns were analysed using a custom program originally developed to study cuttlefish camouflage. Our results show that all flounder and background spectra fall within the same colour gamut and that, in terms of different observer visual systems, flounder matched most substrates in luminance and colour contrast. Flounder matched the spatial scales of all substrates except for rocks. We discuss findings in terms of flounder biology; furthermore, we discuss our methodology in light of hyperspectral technologies that combine high-resolution spectral and spatial imaging.
比目鱼会改变颜色和图案以进行伪装。我们使用光谱仪测量反射光谱,并使用数码相机捕捉两种比目鱼在四种不同空间尺度的自然背景(沙子、小砾石、大砾石和岩石)上伪装时的身体图案。我们相对于假设比目鱼和背景具有相同光谱分布的情况,量化了比目鱼与背景之间的光谱匹配程度。针对三种具有生物学相关性的观察者进行了计算:单色的鱿鱼、双色的螃蟹和三色的犁头鳐。我们的计算提出了一种分析具有大方差的多个光谱数据集的新方法。此外,为了研究比目鱼与背景之间的空间匹配,使用最初为研究乌贼伪装而开发的定制程序分析了比目鱼图案的图像。我们的结果表明,所有比目鱼和背景光谱都落在相同的色域内,并且就不同观察者视觉系统而言,比目鱼在亮度和颜色对比度方面与大多数底物相匹配。比目鱼与除岩石外的所有底物的空间尺度相匹配。我们根据比目鱼生物学讨论了研究结果;此外,我们根据结合了高分辨率光谱和空间成像的高光谱技术讨论了我们的方法。