A numerical model for jellyfish Rhopilema esculentum stock enhancement is developed for the first time. The model is based on an operational ocean circulation-surface wave coupled forecasting system for the seas off C...A numerical model for jellyfish Rhopilema esculentum stock enhancement is developed for the first time. The model is based on an operational ocean circulation-surface wave coupled forecasting system for the seas off China and adjacent areas and uses a Lagrangian particle-tracking scheme to track the trajectories of released jellyfish. The Jellyfish are modeled as particles with diel vertical migration and are passively drifted by the current and dispersion due to the sub-grid processes. A comparison between the simulation and survey results demonstrate that the model can capture the primary distribution patterns of the released jellyfish. The model results show that the ocean current and indirect wind impact are the main drivers controlling the jellyfish transport. A connectivity matrix between the release sites and fishing grounds indicates the top of the bay is better than the eastern and western coasts for jellyfish fishing. The matrix also shows that only 45% and 27% of the jellyfish released from Wafangdian(WFD) can enter the fishing ground in 2008 and 2010; thus, the site near WFD is not an advisable location for jellyfish release. A Lagrangian probability density function based on a nine-year tracing experiment validates the results and further provides a "climatology" distribution of the released jellyfish.Several experiments are conducted to examine the sensitivity of the model to random walk schemes and to release conditions. The model requires a random walk but is insensitive to the random walk scheme. The experiments with different habitat depths show that if the jellyfish are fixed on the bottom of the water, most of them will be transported to the center, or even out of the bay, by the bottom circulation.展开更多
基金The National Natural Science Foundation of China under contract No.41506044the Scientific and Technological Innovation Project financially supported by Qingdao National Laboratory for Marine Science and Technology of China under contract No.2016ASKJ02+2 种基金the National Basic Research Program(973 Program)of China under contract No.2015CB453303the National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers under contract No.U1606405the International Cooperation Project of Indo-Pacific Ocean Environment Variation and Air-Sea Interaction under contract No.GASI-03-IPOVAI-05
文摘A numerical model for jellyfish Rhopilema esculentum stock enhancement is developed for the first time. The model is based on an operational ocean circulation-surface wave coupled forecasting system for the seas off China and adjacent areas and uses a Lagrangian particle-tracking scheme to track the trajectories of released jellyfish. The Jellyfish are modeled as particles with diel vertical migration and are passively drifted by the current and dispersion due to the sub-grid processes. A comparison between the simulation and survey results demonstrate that the model can capture the primary distribution patterns of the released jellyfish. The model results show that the ocean current and indirect wind impact are the main drivers controlling the jellyfish transport. A connectivity matrix between the release sites and fishing grounds indicates the top of the bay is better than the eastern and western coasts for jellyfish fishing. The matrix also shows that only 45% and 27% of the jellyfish released from Wafangdian(WFD) can enter the fishing ground in 2008 and 2010; thus, the site near WFD is not an advisable location for jellyfish release. A Lagrangian probability density function based on a nine-year tracing experiment validates the results and further provides a "climatology" distribution of the released jellyfish.Several experiments are conducted to examine the sensitivity of the model to random walk schemes and to release conditions. The model requires a random walk but is insensitive to the random walk scheme. The experiments with different habitat depths show that if the jellyfish are fixed on the bottom of the water, most of them will be transported to the center, or even out of the bay, by the bottom circulation.
文摘遗传力是选择育种实践的基础和前提。为估计海蜇幼蜇生长性状的遗传力及生长性状间的相关关系,采用全同胞家系方法构建14个海蜇家系,进行为期300 d的生长试验,采集700个300日龄海蜇幼蜇的体质量和伞径2个生长性状的表型数据,通过双性状个体动物模型法估算海蜇幼蜇体质量和伞径2个生长性状的遗传力。试验结果表明,海蜇幼蜇在300日龄时的体质量和伞径2个生长性状的遗传力估计值分别为0.843±0.198、0.426±0.098,经t检验,2个遗传力均达到极显著水平(P<0.01),属于高度遗传力,说明对这2个性状进行选择育种具有较大的选育潜力。在300日龄时,体质量与伞径的遗传相关系数和表型相关系数分别为0.962±0.022和0.911±0.018,2个性状之间无论是遗传相关还是表型相关都呈高度正相关;利用回归模型建立的300日龄海蜇幼蜇伞径(x)对体质量(y)的数学模型为:y=0.1624 x 2.7291(r 2=0.8815)。研究结果可为深入研究海蜇的遗传育种提供理论基础和数据支持。
