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Model for growth and survival of mussels Mytilus edulis reared in Prince Edward Island, Canada

机译:在加拿大爱德华王子岛饲养的贻贝贻贝的生长和存活模型

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摘要

Mathematical models of commercially important species enable one to integrate the diversity of information on these species, understand mechanisms responsible for observed population dynamics, and assess management scenarios. We present a population model for blue mussels Mytilus edulis grown in suspended culture in 2 bays in Prince Edward Island, Canada. The model incorporates a number of ecological processes, namely allometric growth of individual mussels, temperature-dependent growth rates (based on the Lassiter-Kearns equation), and survival of mussels based on self-thinning. Analysis of our model suggests that the optimal temperature for mussel growth is 15.8℃. Also, survival does not depend on site or year, indicating that self-thinning is probably due to competition for space rather than food or other site-specific conditions. Based on sensitivity analyses, growth predictions are robust to changes in parameter values, while survival predictions are quite sensitive to changes in the strength of the effect of initial mussel density and of self-thinning. Evaluation of management scenarios over one grow-out period indicates that date of deployment strongly affects time for seeds to reach commercial size. Optimal initial mussel density depends on whether one wants to maximise the proportion of mussels surviving to harvest or the number of mussels available at harvest; this decision depends on whether seed availability or lease area is limiting.
机译:具有商业意义的物种的数学模型使人们能够整合有关这些物种的信息的多样性,了解负责观察到的种群动态的机制以及评估管理方案。我们介绍了加拿大爱德华王子岛2个海湾中悬浮培养的蓝贻贝贻贝的种群模型。该模型包含许多生态过程,即单个贻贝的异速生长,依赖温度的增长率(基于Lassiter-Kearns方程)以及基于自我变薄的贻贝存活率。对模型的分析表明,贻贝生长的最佳温度为15.8℃。另外,生存时间不取决于地点或年份,这表明自我瘦身可能是由于对空间的竞争而不是食物或其他地点特定条件的竞争。根据敏感性分析,生长预测对参数值的变化具有鲁棒性,而生存预测对初始贻贝密度和自我变薄的强度变化非常敏感。在一个成长期内评估管理方案表明,部署日期严重影响种子达到商业规模的时间。最佳贻贝初始密度取决于是否要最大化生存到收获期的贻贝比例或收获时可用的贻贝数量;该决定取决于种子的可用性或租赁面积是否受到限制。

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