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Geographical distribution of red and green Noctiluca scintillans 被引量:9
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作者 P. J. HARRISON k. FURUYA +8 位作者 P. M. GLIBERT J. Xu H. B. LIU k. yin J. H. W. LEE D. M. ANDERSON R. GOWEN A. R. AL-AZRI A. Y. T. HO 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2011年第4期807-831,共25页
The dinoflagellate Noctiluca scintillans is one of the most important and abundant red tide organisms and it is distributed world-wide. It occurs in two forms. Red Noctiluca is heterotrophic and fills the role of one ... The dinoflagellate Noctiluca scintillans is one of the most important and abundant red tide organisms and it is distributed world-wide. It occurs in two forms. Red Noctiluca is heterotrophic and fills the role of one of the microzooplankton grazers in the foodweb. In contrast, green Noctiluca contains a photosynthetic symbiont Pedinomonas noctilucae (a prasinophyte), but it also feeds on other plankton when the food supply is abundant. In this review, we document the global distribution of these two forms and include the first maps of their global distribution. Red Noctiluca occurs widely in the temperate to sub-tropical coastal regions of the world. It occurs over a wide temperature range of about 10°C to 25°C and at higher salinities (generally not in estuaries). It is particularly abundant in high productivity areas such as upwelling or eutrophic areas where diatoms dominate since they are its preferred food source. Green Noctiluca is much more restricted to a temperature range of 25°C-30°C and mainly occurs in tropical waters of Southeast Asia, Bay of Bengal (east coast of India), in the eastern, western and northern Arabian Sea, the Red Sea, and recently it has become very abundant in the Gulf of Oman. Red and green Noctiluca do overlap in their distribution in the eastern, northern and western Arabian Sea with a seasonal shift from green Noctiluca in the cooler winter convective mixing, higher productivity season, to red Noctiluca in the more oligotrophic warmer summer season. 展开更多
关键词 夜光藻 地理分布 微型浮游动物 温度范围 阿拉伯海 赤潮生物 食草动物 光合作用
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Global Optimization Using Diffusion Perturbations with Large Noise Intensity
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作者 G. yin k. yin 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2006年第4期529-542,共14页
这个工作为全球优化开发一个算法。算法上升坡度是类型和使用随机不安。与退火的类型过程相对照,不安噪音紧张大。我们证明由适当地改变噪音紧张,到全球最大值的近似能被完成。我们也证明到达全球最大值的吸引力的域的期望的时间,能... 这个工作为全球优化开发一个算法。算法上升坡度是类型和使用随机不安。与退火的类型过程相对照,不安噪音紧张大。我们证明由适当地改变噪音紧张,到全球最大值的近似能被完成。我们也证明到达全球最大值的吸引力的域的期望的时间,能被一个边界值问题的解决方案接近,是有限的。分离时间的算法被建议;有包含大噪音紧张的偶尔的不安的递归的算法被开发。数字例子被为说明提供。 展开更多
关键词 整体优化 随机干扰 扩散 退火
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