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模拟不同 surfperch(雀鲷科)栖息地实测发散度下亮度和色度检测性能的差异。

Modelling divergence in luminance and chromatic detection performance across measured divergence in surfperch (Embiotocidae) habitats.

作者信息

Cummings Molly E

机构信息

Department of Ecology, Evolution and Marine Biology, University of California at Santa Barbara, Santa Barbara, CA 93106, USA.

出版信息

Vision Res. 2004 May;44(11):1127-45. doi: 10.1016/j.visres.2003.12.013.

Abstract

This study predicts target detection performance in species-specific habitats for six surfperch (Embiotocidae) living in optically variable California kelp forests. Using species-specific measurements of habitat irradiance and photoreceptor absorbance in a simple dichromatic model for luminance and chromatic detection, the estimated performance of species' measured photopigments was compared to the theoretical maximum for each habitat. Modelling results suggest that changes in peak photoreceptor absorbance (lambda(max)), photoreceptor optical density, and photic environment may affect detection performance. Estimated performances for luminance detection were consistently high, while chromatic detection varied by habitat and demonstrated substantial improvements with increasing optical density differences between cone classes.

摘要

本研究预测了生活在光学特性多变的加利福尼亚海带森林中的六种海鲫(Embiotocidae)在特定物种栖息地的目标检测性能。在一个用于亮度和颜色检测的简单双色模型中,利用特定物种对栖息地辐照度和光感受器吸光度的测量数据,将物种测量的光色素的估计性能与每个栖息地的理论最大值进行了比较。建模结果表明,峰值光感受器吸光度(λ(max))、光感受器光密度和光环境的变化可能会影响检测性能。亮度检测的估计性能一直很高,而颜色检测则因栖息地而异,并且随着锥体细胞类别之间光密度差异的增加而有显著改善。

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