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Modeling of integrated marine ecosystem including the generation-tracing type scallop growth model

机译:包括世代追踪型扇贝生长模型在内的综合海洋生态系统建模

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The new numerical marine ecosystem model has been developed to establish an optimum management plans for sustainable aquaculture in estuaries. This model was applied to Lake Saroma, which is the third largest brackish lake and one of the major sources of aquacultured scallops in Japan. In this study, the pelagic ecosystem model, the benthic ecosystem model and the scallop growth model were integrated comprehensively This model is remarkable for two features. Firstly, the farming cycle in this area was considered in detail. This was achieved by dividing the aquacultured scallops into three compartments according to their age; each compartment having two state variables, biomass and number of individuals. This feature, called the Generation-tracing type model, made it possible to evaluate weight changes of scallops for each generation. Consequently, simulated results of scallop weights showed good accordance with the measurements. Secondly, the amount of released nutrients from the sediment was evaluated using a vertical diffusive equation with simultaneous mineralization processes in sediment. To evaluate the amount, the interaction between the pelagic and benthic systems, which is generally a very important factor in enclosed water, was modeled. This structure provided the model with an ability to predict future water quality and production of scallops with sediment changes. At the next stage of the study, we applied this model to compare scenarios for future management. Preliminary results showed that a larger number of cultured scallops would result in a smaller average scallop size and worse water quality because of sediment degradation due to the increased deposit of scallop feces. (C) 2007 Elsevier B.V. All rights reserved.
机译:已经开发了新的数字海洋生态系统模型,以建立河口可持续水产养殖的最佳管理计划。该模型已应用于萨洛玛湖,这是日本第三大咸淡湖,也是日本水产养殖扇贝的主要来源之一。本研究将中上层生态系统模型,底栖生态系统模型和扇贝生长模型进行了综合整合。该模型具有两个特点。首先,详细考虑了该地区的农作周期。这是通过根据年龄将水产扇贝分成三个部分来实现的。每个隔间具有两个状态变量,即生物量和个体数量。此功能称为世代追踪类型模型,可以评估每个世代的扇贝重量变化。因此,扇贝重量的模拟结果与测量结果显示出良好的一致性。其次,使用垂直扩散方程式同时评估沉积物中的矿化过程,评估了沉积物中释放的养分含量。为了评估数量,对上层和底栖系统之间的相互作用进行了建模,而这通常是封闭水中的一个非常重要的因素。这种结构为模型提供了预测未来水质和带有沉积物变化的扇贝产量的能力。在研究的下一阶段,我们应用此模型比较未来管理的方案。初步结果表明,由于扇贝粪便沉积物增加导致沉积物降解,养殖扇贝的数量将增加,扇贝平均尺寸减小,水质变差。 (C)2007 Elsevier B.V.保留所有权利。

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