耳石的傅立叶变换近红外光谱与深度学习相结合,提高了长寿北岩鱼的年龄预测能力

IF 2.2 2区 农林科学 Q2 FISHERIES Fisheries Research Pub Date : 2024-07-19 DOI:10.1016/j.fishres.2024.107116
Irina M. Benson , Thomas E. Helser , Beverly K. Barnett
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引用次数: 0

摘要

北石首鱼(Sebastes polyspinis)是一种经济价值高、寿命长的鱼种,分布在北太平洋大陆架上。该物种的年龄可超过 80 岁,是种群状况评估模型的重要组成部分,对渔业管理至关重要。传统的基于显微镜的耳石年龄估算方法耗时长,且易受读数变化的影响。我们探索了傅立叶变换近红外(FT-NIR)光谱与多模态卷积神经网络(MMCNN)在年龄预测中的应用。我们的研究包括 2013-2019 年间 2613 次傅立叶变换近红外光谱扫描和相关年龄的北方岩鱼耳石,年龄范围为 3 至 66 岁。最佳 MMCNN 模型表现出很强的性能,训练集的 R2 为 0.92,RMSE 为 3.38,测试集的 R2 为 0.89,RMSE 为 3.74。11,500 到 4000 cm-¹ 波长范围内的光谱信息、耳石重量和其他生物/地理空间数据有助于预测年龄,预测结果与传统的年龄估计相当。尽管存在挑战,傅立叶变换近红外光谱仪与 MMCNN 联用仍不失为长寿物种年龄估计的一种有前途的替代方法。这种方法在北部石首鱼身上显示出有效性的同时,也可以成为多种鱼类的宝贵工具,为可持续渔业实践和种群监测提供支持。
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Fourier transform near infrared spectroscopy of otoliths coupled with deep learning improves age prediction for long-lived northern rockfish

The northern rockfish (Sebastes polyspinis) is an economically valuable, long-lived species distributed over the continental shelf of the North Pacific Ocean. Ages for this species which can be in excess of 80 years comprise an essential component of models for assessing population status and are crucial for fisheries management. Traditional microscope-based methods of estimating age using otoliths can be time-intensive and prone to reader variability. We explored the application of Fourier transform near infrared (FT-NIR) spectroscopy coupled with multimodal convolutional neural networks (MMCNN) for age prediction. Our study included 2613 FT-NIR scans and associated ages of northern rockfish otoliths from years 2013–2019, with ages ranging from 3 to 66 years. The optimal MMCNN model demonstrated strong performance, yielding an R2 of 0.92 and an RMSE of 3.38 for the training set and an R2 of 0.89 and an RMSE of 3.74 for the test set. Spectral information in the 11,500 to 4000 cm⁻¹ wavenumber range, otolith weight, and other biological/geospatial data contributed to age predictions that were comparable to traditional age estimates. Despite challenges, FT-NIR spectroscopy coupled with MMCNN emerged as a promising alternative for age estimation in long-lived species. This approach, while demonstrating effectiveness for northern rockfish, could be a valuable tool for diverse fish species, supporting sustainable fisheries practices and population monitoring.

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来源期刊
Fisheries Research
Fisheries Research 农林科学-渔业
CiteScore
4.50
自引率
16.70%
发文量
294
审稿时长
15 weeks
期刊介绍: This journal provides an international forum for the publication of papers in the areas of fisheries science, fishing technology, fisheries management and relevant socio-economics. The scope covers fisheries in salt, brackish and freshwater systems, and all aspects of associated ecology, environmental aspects of fisheries, and economics. Both theoretical and practical papers are acceptable, including laboratory and field experimental studies relevant to fisheries. Papers on the conservation of exploitable living resources are welcome. Review and Viewpoint articles are also published. As the specified areas inevitably impinge on and interrelate with each other, the approach of the journal is multidisciplinary, and authors are encouraged to emphasise the relevance of their own work to that of other disciplines. The journal is intended for fisheries scientists, biological oceanographers, gear technologists, economists, managers, administrators, policy makers and legislators.
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