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首页> 外文期刊>Marine Mammal Science >Prenatal data impacts common bottlenose dolphin (Tursiops truncatus) growth parameters estimated by length-at-age curves.
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Prenatal data impacts common bottlenose dolphin (Tursiops truncatus) growth parameters estimated by length-at-age curves.

机译:产前数据会影响一般的宽吻海豚( Tursiops truncatus )的生长参数,这些参数通过年龄长度曲线估算。

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Compilation of marine mammal demographic data is central to management efforts. However, marine mammal length-at-age growth curves demonstrate limitations. Physiological growth parameters of terrestrial mammals are typically estimated using curvilinear models fit to size-at-age data along a time series from conception to senescence. The difficulty of collecting and aging prenatal cetaceans is addressed here, and growth parameters of common bottlenose dolphins (Tursiops truncatus) along coastal Texas were estimated using length-at-age information from a broader scope of age classes, including late-term fetuses. A Gompertz growth curve fit to pre- and postnatal data underestimated size parameters, but demonstrated similar growth rate constants (k) to an exclusively postnatal model. However, when growth parameters were broken out, the absolute growth rate (G) and rate of growth decay (g) decreased (0.44 from 0.27 and 0.55 from 0.39, respectively), which underscores the importance of reporting k in its expanded form (G/g). Although the Gompertz fits most age classes well, it cannot explain growth in all age classes. We argue that a novel sigmoidal model would be more useful for inference.Digital Object Identifier http://dx.doi.org/10.1111/j.1748-7692.2010.00394.x
机译:海洋哺乳动物人口统计数据的汇编对于管理工作至关重要。但是,海洋哺乳动物的年龄增长曲线显示出局限性。陆生哺乳动物的生理生长参数通常是使用曲线模型估算的,该模型适用于从受孕到衰老的时间序列中年龄大小的数据。这里解决了收集和老化产前鲸类动物的难题,并使用来自更广泛年龄段的年龄长度信息估算了得克萨斯州沿海地区的普通宽吻海豚( Tursiops truncatus )的生长参数,包括晚期胎儿。 Gompertz生长曲线适合于出生前和出生后的数据,该数据被低估了尺寸参数,但显示出与纯出生后模型相似的增长率常数( k )。但是,当突破了生长参数时,绝对增长率( G )和增长率衰减率( g )降低了(分别从0.27和0.45降低到0.39)。 ,强调了以扩展形式( G / g )报告 k 的重要性。尽管Gompertz非常适合大多数年龄段,但不能解释所有年龄段的增长情况。我们认为,一种新颖的S型模型将对推理更有用。数字对象标识符http://dx.doi.org/10.1111/j.1748-7692.2010.00394.x

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