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首页> 外文期刊>Aquaculture Research >FOAM, a new simple benthic degradative module for the LAMP3D model: an application to a Mediterranean fish farm
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FOAM, a new simple benthic degradative module for the LAMP3D model: an application to a Mediterranean fish farm

机译:FOAM,一种用于LAMP3D模型的新的简单底栖降解模块:在地中海养鱼场中的应用

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The modelling framework already introduced by Doglioli, Magaldi, Vezzulli and Tucci to predict the potential impact of a marine fish farm is improved following different directions, namely (1) real historic current-metre data are used to force the simulations, (2) settling velocity values specifically targeting Mediterranean fish species are used, and (3) a new benthic degradative module, the Finite Organic Accumulation Module, is added to the modelling framework. The Finite Organic Accumulation Module uses the output of the other functional units of the modelling framework to calculate the organic load on the seabed. The Finite Organic Accumulation Module considers the natural capability of the seafloor in absorbing part of the organic load. Different remineralization rates reflect the sediment stress level according to the work of Findlay and Watling. Organic degradation for both uneaten feed and faeces is evaluated by changing the release modality (continuous and periodical) and by varying the settling velocities. It is found that the maximum impact on the benthic community is observed either for quickly sinking uneaten feed released twice a day, or for less intense near-bottom current conditions. If both the above-mentioned scenarios coexist, a high stress level is established in the sediment. The model also suggests that the use of self-feeders in cages can reduce farm impacts significantly. These results show how the new and more complete modelling framework presented here is able to improve the objectivity in the decision-making processes and how it may be successfully used for planning and monitoring purposes.
机译:Doglioli,Magaldi,Vezzulli和Tucci已经引入了用于预测海洋鱼类养殖场的潜在影响的建模框架,该框架在不同的方向上得到了改进,即(1)使用实际的历史当前米数据来强制进行模拟,(2)解决使用专门针对地中海鱼类的速度值,并且(3)在建模框架中添加了新的底栖生物降解模块,即有限有机蓄积模块。有限有机物累积模块使用建模框架其他功能单元的输出来计算海底有机物负荷。有限有机物累积模块考虑了海床吸收部分有机物负荷的自然能力。根据Findlay和Watling的工作,不同的再矿化率反映了沉积物的应力水平。通过改变释放方式(连续的和周期性的)和改变沉降速度来评估未进食的饲料和粪便的有机降解。结果发现,对每天下水两次的未食用饲料迅速下沉,或对强度较低的近底电流条件,都可以观察到对底栖动物群落的最大影响。如果上述两种情况同时存在,则沉积物中会形成高应力水平。该模型还表明,在网箱中使用自动喂食器可以显着减少农场的影响。这些结果表明,此处介绍的新的和更完整的建模框架如何能够提高决策过程的客观性,以及如何将其成功地用于计划和监视目的。

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