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首页> 外文期刊>ICES Journal of Marine Science >Data from fur seal scats reveal when Namibian Merluccius capensis are hatched and how fast they grow
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Data from fur seal scats reveal when Namibian Merluccius capensis are hatched and how fast they grow

机译：来自海狗粪便的数据揭示了何时孵化纳米比亚水貂及其生长速度

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Scat samples were collected regularly at several breeding colonies of Cape fur seals along the Namibian coast. Merluccius capensis otoliths were obtained from these samples, identified, and measured. Cohorts were easily distinguishable using otolith length measurements converted to fish total length. Growth rates of 2- to 21-month-old hake and hatch dates for each of 15 cohorts were estimated from September 1994 to October 2009 (1994- 2008 cohorts) using a Schnute growth function and a non-linear mixed-effects model. The function describing growth of these young hake was length L_t (cm) at age t (years) L_t = 3.17 + (25.0 - 3.17) × [1 - e~(-0665) × (t-0.140)]/[1 - e~(-0665)×(1.74-0.140)]. Cohort-specific random effects showed a population hatch date estimate of 31 July (austral winter), varying by 94 days among cohorts, from 31 May (1996 cohort) to 1 September (2004 cohort). The mean growth rate from ages 6 to 12 months was 1.26 cm month~(-1) for the population, ranging between 0.97 cm month~(-1) (1996 cohort) and 1.38 cm month~(-1) (2004 cohort). As this rate is almost double the previously estimated value, which is currently used in the stock assessment models, this result may have major implications for the current stock assessment results and the management of the stock. Re-examination of growth rates needs to be extended to older fish.
机译：在纳米比亚沿海的海角海狗的几个繁殖地定期采集粪便样本。从这些样品中获得了墨西哥海耳石，进行了鉴定和测量。使用耳石长度测量值转换为鱼类总长度，可以轻松地区分同类群。使用Schnute生长函数和非线性混合效应模型，从1994年9月至2009年10月（1994-2008年队列）估算了15个队列中每个队列2到21个月大的孵化日期。描述这些年轻无须鳕的生长的函数是t岁时的长度L_t（cm）（年）L_t = 3.17 +（25.0-3.17）×[1- e〜（-0665）×（t-0.140）] / [1- e〜（-0665）×（1.74-0.140）]。特定于队列的随机效应显示，从5月31日（1996年队列）到9月1日（2004年队列），种群孵化日期估计为7月31日（冬季），队列之间的间隔为94天。人口从6到12个月的平均增长率为1.26 cm month〜（-1），介于0.97 cm month〜（-1）（1996年队列）和1.38 cm month〜（-1）（2004年队列）之间。 。由于该比率几乎是当前库存评估模型中使用的先前估计值的两倍，因此该结果可能对当前库存评估结果和库存管理产生重大影响。增长速度的重新检查需要扩大到较老的鱼类。

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