Artificial light can be used to deter unwanted non‐target catch (bycatch) from fishing gear, which is thought to be achieved by repelling bycatch, or highlighting escape routes on nets. To select for responses in bycatch species, light should (1) cause the bycatch species to avoid capture, and (2) not invoke the same reaction in target species. One way to maximise the chance of a bycatch species responding to light is to ensure the light colour used is more visible to bycatch species. Some studies have considered the visual sensitivity of certain species to address this. In particular, the wavebands of light that a species is sensitive to. However, using this measurement alone is incomplete as it does not consider other factors that affect visibility, such as the ambient light spectrum, and wavelength‐dependant light attenuation in different water types and depths. To account for these variables, and to more accurately predict how both target and bycatch species view light colours in a fishing context, we used a model of the vision of commercially relevant species in fisheries across the world. From this, we show whether a light colour is more visible to a bycatch species compared to a target species in a particular depth and water type, and how modelling can be used to make informed assessments of the selection of relevant light colours in fishing. We also discuss the limitations of using vision models alone and the need for corresponding behaviour and/or fishing trials with lights.

中文翻译：

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使用视觉建模来设计利用光的兼捕减少装置

人造光可用于阻止渔具不必要的非目标捕获物（兼捕物），这被认为是通过击退兼捕物或在网上突出显示逃生路线来实现的。为了选择兼捕物种的反应，光应该（1）使兼捕物种避免捕获，并且（2）不会在目标物种中引起相同的反应。最大限度地提高兼捕物种对光做出反应的机会的一种方法是确保所使用的光颜色对于兼捕物种来说更明显。一些研究考虑了某些物种的视觉敏感性来解决这个问题。特别是物种敏感的光波段。然而，单独使用这种测量是不完整的，因为它没有考虑影响能见度的其他因素，例如环境光谱以及不同水类型和深度中与波长相关的光衰减。为了解释这些变量，并更准确地预测目标物种和兼捕物种在捕捞环境中如何看待光色，我们使用了世界各地渔业中商业相关物种的视觉模型。由此，我们展示了在特定深度和水类型中，与目标物种相比，副渔获物物种的浅色是否更明显，以及如何使用建模来对捕捞中相关浅色的选择进行明智的评估。我们还讨论了单独使用视觉模型的局限性以及相应行为和/或灯光钓鱼试验的需要。