An individual‐based model for the direct conversion of otolith into somatic growth rates

An individual‐based model for the direct conversion of otolith into somatic growth rates
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将耳石直接转化为体细胞生长率的个体模型

DOI:
10.1111/j.1365-2419.2007.00425.x
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发表时间:
2007
影响因子:
2.6
通讯作者:
Clemmesen C
Clemmesen C
中科院分区:
农林科学2区
文献类型:
--
作者:
Hinrichsen HH;Buehler V;Clemmesen C

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利用耳石增长宽度和仔鱼数据(长度和体重)建立了一个基于个体的模型(IBM),用于描述1990-1998年在ICES Iva地区进行的国际鲱鱼幼体调查期间捕获的北海鲱鱼(Clupea Harengus)幼体(秋季产卵者)的日分辨增长率。该模型结合了矢状面耳石读数(岩心和个体增量测量)、幼虫标准长度和体重数据,并使用最小二乘残差法求解了所有参数的超定线性系统方程组。该模型由一个描述119条幼虫增量宽度形成的矩阵、一个包含其长度/重量测量的向量和一个描述残差的向量组成。该溶液载体产生的鲱鱼幼虫的最大体细胞生长率与年龄有关,最高可达41 日龄,大小从10到25 mm不等。观察到的幼虫栖息的环境温度相对均匀。因此,测量的增量宽度被单独用来确定单个幼虫在最佳摄食条件下的日生长量与其潜在的最大生长量之间的关系。根据幼虫发生的空间和时间变异性对结果进行了讨论。最后,对幼虫生长特性的误差估计进行了分析。
Otolith increment width and larval fish data (length and weight) were used to develop an individual‐based model (IBM) to describe daily resolved growth rates of North Sea herring (Clupea harengus) larvae (Autumn Spawners) caught during International Herring Larvae Surveys in the ICES area IVa from 1990 to 1998. The model combines sagittal otolith readings (core and individual increment measurements), larval standard length and weight data, and solves an over‐determined set of linear system equations for all parameters using the method of least square residuals. The model consists of a matrix, which describes the increment width formation of 119 larvae, a vector containing their length/weight measurements, and a vector describing residuals. The solution vector yields age‐dependent maximum somatic growth rates of herring larvae up to an age of 41 days with sizes ranging from 10 to 25 mm. The observed environmental temperature in which larvae dwelled was relatively uniform. Therefore, measured increment width was individually used to determine daily growth from any single larva in relation to their potential maximum growth under optimal feeding conditions. The results are discussed with respect to the spatial and temporal variability of larval occurrence. Finally, an analysis of error estimation of the larval growth characteristics is presented.
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