利用视觉建模技术确定磷光网箱的光强度和雪蟹(Chionoecetes opilio)的可见度

IF 2.1 3区 农林科学 Q2 FISHERIES Fishes Pub Date : 2024-05-17 DOI:10.3390/fishes9050185
Colin Frank, S. M. Bayse, Rioghnach Steiner, Pierre-Paul Bitton
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引用次数: 0

摘要

这项研究利用视觉建模技术探索了磷光网箱对雪蟹(Chionoecetes opilio)的可见度。此类网箱发出的光可提高单位努力量的捕获量,但人们对提高捕获率的驱动因素知之甚少。在这项研究中,我们测量了锅的光辐射和雪蟹的视觉敏锐度。结合这些数据以及文献中对其他生物和非生物因素的估计,我们建立了雪蟹视力与锅的关系模型。利用这些因素和环境条件,我们得出了锅具光线与环境光线的对比度。研究结果表明,200 米深处的锅灯能见度主要取决于太阳角度(一天中的时间)和部署后的时间。影响锅灯可见度的其他因素还包括水体质量和底栖边界层浊度。这项研究首次建立了雪蟹视觉生态模型,并首次估算了雪蟹的视觉敏锐度。对雪蟹视觉生态学的这些见解有可能改进捕捞技术,提高捕捞效率和可持续性,并有助于为渔业科学领域的视觉生态学研究提供前进的道路。
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Light Intensity of Phosphorescent-Netting Pots and Determining Their Visibility to Snow Crab (Chionoecetes opilio) Using Visual Modeling Techniques
This study explores the visibility of phosphorescent-netting pots to snow crab (Chionoecetes opilio) using visual modeling techniques. Light emitted from such pots increases catch per unit effort, yet little is understood about the factors driving these higher catch rates. In this study, we measure pot light emission and snow crab visual acuity. Combining these data with estimates obtained in the literature for other biotic and abiotic factors, we model snow crab vision in relation to the pots. Utilizing these factors and environmental conditions, we derive a contrast ratio between the pot light and the ambient light. Findings reveal that the visibility of pot lights at 200-m depth depends primarily on solar angle (time of day) and time elapsed post-deployment. Additional factors influencing the vision of the pots include water column quality and benthic boundary layer turbidity. This study is the first to model the visual ecology of snow crab and the first to estimate snow crab visual acuity. These insights into snow crab visual ecology can potentially enhance fishing techniques, promote catch efficiency and sustainability, and help provide a path forward for visual ecology research in the fisheries science field.
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来源期刊
Fishes
Fishes Multiple-
CiteScore
1.90
自引率
8.70%
发文量
311
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