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首页> 外文期刊>Journal of sea research >Use of dynamic energy budget and individual based models to simulate the dynamics of cultivated oyster populations
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Use of dynamic energy budget and individual based models to simulate the dynamics of cultivated oyster populations

机译:使用动态能量收支和基于个体的模型来模拟牡蛎养殖种群的动态

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摘要

We successfully tested a Dynamic Energy Budget (DEB) model of the oyster Crassostrea gigas using published environmental data and growth data collected in Thau lagoon (France). Estimates of most DEB parameters were based on independent datasets and only two parameters were calibrated using our datasets: the shape parameter, which was used to convert body volume into shell length, and the half-saturation coefficient, which controlled the functional response of assimilation to food concentration, represented by chlorophyll-a concentration. The DEB model proved to be robust and generic: it was able to reproduce oyster growth in Thau lagoon and other ecosystems. We also assessed population dynamics by coupling DEB equations and an Individual Based Model (IBM) of cultivated oyster populations. The results were compared with previously published simulations of harvested production and standing stock based on an empirical growth equation and a partial differential equation of population dynamics. Differences between the two studies were explained by the difference between the predictions of oyster growth with the empirical and the DEB models. We also accounted for growth variability between individuals and showed that IBM offers a powerful alternative to continuous equations when several physiological variables are involved.
机译:我们使用在Thau泻湖(法国)收集的已发布环境数据和生长数据,成功测试了牡蛎Crassostrea gigas的动态能量预算(DEB)模型。大多数DEB参数的估计均基于独立的数据集,使用我们的数据集仅校准了两个参数:形状参数(用于将体体积转换为壳长)和半饱和系数(用于控制同化作用对分子的响应)食物浓度,以叶绿素a浓度表示。 DEB模型被证明是健壮且通用的:它能够重现Thau泻湖和其他生态系统中的牡蛎生长。我们还通过耦合DEB方程和养殖牡蛎种群的基于个体的模型(IBM)来评估种群动态。将结果与先前发布的基于经验增长方程和种群动态的偏微分方程的收获产品和常规种群的模拟进行比较。两次研究之间的差异是通过经验模型和DEB模型对牡蛎生长的预测之间的差异来解释的。我们还考虑了个体之间的生长变异性,并表明当涉及多个生理变量时,IBM提供了一种强大的替代连续方程式的方法。

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