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首页> 外文期刊>Marine ecology progress series >Spawning behavior in Atlantic cod: analysis by use of data storage tags
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Spawning behavior in Atlantic cod: analysis by use of data storage tags

机译:大西洋鳕鱼的产卵行为:通过使用数据存储标签进行分析

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ABSTRACT: Electronic data storage tags (DSTs) were implanted into Atlantic cod captured in Icelandic waters from 2002 to 2007 and the depth profiles recovered from these tags (females: n = 31, males: n = 27) were used to identify patterns consistent with published descriptions of cod courtship and spawning behavior. The individual periods of time that males spent exhibiting behavior consistent with being present in a spawning aggregation—i.e. periods consisting of a clear tidal signature in the DST depth profile associated with an individual remaining on or near the substrate—were longer than those of females. Over the course of a spawning season, male cod spent approximately twice the amount of time in spawning aggregations than females, but female cod visited more aggregations per unit time. On average, males participated in approximately 57% more putative spawning events, i.e. vertical ascents potentially corresponding to gamete release, than did females. However, males 85 cm total length participated in the same number of putative spawning events as females of comparable size. In both sexes, larger individuals and/or individuals that spent a longer period of time within an aggregation participated in a larger number of putative spawning events. Although further validation and refinement is necessary, particularly in the identification of spawning events, the ability offered by DSTs to quantify cod spawning behavior may aid in the development of management and conservation plans.
机译:摘要:电子数据存储标签(DST)植入2002年至2007年在冰岛水域捕获的大西洋鳕鱼中,并从这些标签中回收的深度剖面图(女:n = 31,男:n = 27)被用来识别与发表了关于鳕鱼求偶和产卵行为的描述。雄性花费的各个时间段表现出与产卵集合中一致的行为,即在DST深度剖面中,由一个清晰的潮汐特征所组成的时期,与残留在基质上或附近的个体有关,比雌性要长。在产卵季节的过程中,公鳕鱼的产卵时间是雌鱼的两倍左右,但母鳕鱼每单位时间访问的聚集量更多。平均而言,雄性比雌性多参加了大约57%的推测产卵事件,即可能对应于配子释放的垂直上升。但是,总长度小于85 cm的雄性与大小相当的雌性参与了相同数量的推定产卵事件。在两个性别中,较大的个体和/或在聚集中花费较长时间的个体都参与了大量的推定产卵事件。尽管有必要进行进一步的验证和完善,尤其是在产卵事件的识别中,但DST提供的量化鳕鱼产卵行为的能力可能有助于制定管理和保护计划。

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