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Covariates of release mortality and tag loss in large-scale tuna tagging experiments

机译:大规模金枪鱼标记实验中释放死亡率和标记损失的协变量

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The data from tag-recapture experiments, which are used to help understand animal behaviour and dynamics, and to provide input data for population models such as stock assessments, are affected by mortality associated with tagging and by tag shedding. These processes introduce bias and uncertainty into parameters estimated in population models such as tuna stock assessments. The causes and magnitudes of tag shedding and post-release mortality in tuna tagging experiments are not well understood. We analysed data from tuna tagging experiments in the Western Pacific (330,000 releases) and Indian Oceans (168,000 releases) to investigate factors affecting post-release mortality and tag shedding. Tag return rates were modelled as functions of the tagger identity, tagger experience, tagging assistant, tagging station, treatment of the fish, use of oxytetracycline, Ulna species, and size at release. The release event was included in models as a fixed effect, so that differences in recapture rate among release events did not affect other parameter estimates. We found differences in tag return rates among taggers and tagging assistants, with tagger experience, and between tagging stations. Substantially lower return rates were associated with some types of damage to fish and with internally implanted tags, and when oxytetracycline was injected. Return rates varied with tuna size and species. In the Western Pacific yellowfin and bigeye return rates were more affected by some covariates than were skipjack, while differences were not observed in the Indian Ocean, where sample sizes were smaller. Results suggest that tagging mortality may be quite high, and that more care and better recording of fish treatment would increase the reliability of assessment inputs. We provide new effective release numbers that have been adjusted to allow for estimated tagging mortality and tag shedding. (C) 2014 Elsevier B.V. All rights reserved.
机译:标签捕获实验的数据用于帮助理解动物的行为和动态,并为种群模型(例如种群评估)提供输入数据,这些数据受与标签相关的死亡率和标签脱落的影响。这些过程将偏差和不确定性引入了诸如金枪鱼种群评估之类的人口模型估计参数中。金枪鱼标签实验中标签脱落和释放后死亡率的原因和程度尚不十分清楚。我们分析了来自西太平洋(330,000个释放)和印度洋(168,000个释放)的金枪鱼标记实验的数据,以研究影响释放后死亡率和标记脱落的因素。标签返还率根据标签身份,标签经验,标签助手,标签工位,鱼的处理,土霉素的使用,尺骨种类和释放时的大小来建模。释放事件作为固定效应包含在模型中,因此释放事件之间的重新捕获率差异不会影响其他参数估计。我们发现,在加标签者和加标签助手之间,具有加标签者经验的地方以及加标签站之间,标签返回率存在差异。较低的返还率与某些类型的鱼类损害以及内部植入的标签以及注射土霉素有关。回报率随金枪鱼的大小和种类而变化。在西太平洋,黄鳍金枪鱼和大眼鲷的返回率受一些协变量的影响要比skip鱼更大,而在印度洋,样本量较小,没有观察到差异。结果表明,标记死亡率可能很高,更多的照料和更好地记录鱼的处理将增加评估输入的可靠性。我们提供了经过调整的新有效释放号,以实现估计的标记死亡率和标记脱落。 (C)2014 Elsevier B.V.保留所有权利。

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