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利用声学遥测技术估算大西洋蓝鳍金枪鱼的自然死亡率。

Estimating Natural Mortality of Atlantic Bluefin Tuna Using Acoustic Telemetry.

机构信息

Hopkins Marine Station, Stanford University, Pacific Grove, California, 93950, USA.

Tuna Research and Conservation Center, Stanford University, Hopkins Marine Station, Pacific Grove, California, 93950, USA.

出版信息

Sci Rep. 2019 Mar 20;9(1):4918. doi: 10.1038/s41598-019-40065-z.

Abstract

Atlantic bluefin tuna (Thunnus thynnus) are highly migratory fish with a contemporary range spanning the North Atlantic Ocean. Bluefin tuna populations have undergone severe decline and the status of the fish within each population remains uncertain. Improved biological knowledge, particularly of natural mortality and rates of mixing of the western (GOM) and eastern (Mediterranean) populations, is key to resolving the current status of the Atlantic bluefin tuna. We evaluated the potential for acoustic tags to yield empirical estimates of mortality and migration rates for long-lived, highly migratory species such as Atlantic bluefin tuna. Bluefin tuna tagged in the Gulf of St. Lawrence (GSL) foraging ground (2009-2016) exhibited high detection rates post release, with 91% crossing receiver lines one year post tagging, 61% detected after year two at large, with detections up to ~1700 days post deployment. Acoustic detections per individual fish ranged from 3 to 4759 receptions. A spatially-structured Bayesian mark recapture model was applied to the acoustic detection data for Atlantic bluefin tuna electronically tagged in the GSL to estimate the rate of instantaneous annual natural mortality. We report a median estimate of 0.10 yr for this experiment. Our results demonstrate that acoustic tags can provide vital fisheries independent estimates for life history parameters critical for improving stock assessment models.

摘要

大西洋金枪鱼(Thunnus thynnus)是一种高度洄游的鱼类,其当代分布范围横跨北大西洋。金枪鱼种群数量已经严重减少,每个种群的鱼类状况仍然不确定。改善生物学知识,特别是西部(GOM)和东部(地中海)种群的自然死亡率和混合率,是解决大西洋金枪鱼当前状况的关键。我们评估了声学标签对寿命长、洄游性强的物种(如大西洋金枪鱼)的死亡率和迁移率进行经验估计的潜力。在圣劳伦斯湾(GSL)觅食区(2009-2016 年)标记的金枪鱼在释放后表现出高检测率,91%的金枪鱼在标记后一年穿过接收器线,61%的金枪鱼在两年后被检测到,检测时间最长可达~1700 天。每条鱼的声学检测次数从 3 次到 4759 次不等。我们应用了一种空间结构贝叶斯标记重捕模型,对在 GSL 中电子标记的大西洋金枪鱼的声学检测数据进行了分析,以估计瞬时年自然死亡率的速率。我们报告了这个实验的中值估计值为 0.10 年。我们的研究结果表明,声学标签可以提供渔业独立的重要生命史参数估计,这对于改进种群评估模型至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e33/6426944/ee88d5612f64/41598_2019_40065_Fig1_HTML.jpg

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