SPLAT CAM:利用生物发光的道路死亡绘制浮游生物分布

E. Widder
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引用次数: 6

摘要

浮游生物发光最常见的来源是鞭毛类、桡足类、棘足类、介形虫和胶状浮游动物。每一种都有非常独特的闪光特征,这使得它们很容易区分开来。利用安装在中水潜水器上的强化摄像机,我们开发了空间浮游生物分析技术(SPLAT),该技术可以识别和绘制生物发光浮游生物的三维微尺度分布模式。发光显示器独特的时间和空间特性允许识别许多物种水平的光源,并且自发光光源提供的特殊信噪比意味着即使是微生物,如50 /spl μ m /m的鞭毛藻,也可以在1米的视野内识别。最近,我们将SPLAT CAM用于部署在HIDEX-BP(高进气定义激发深度光度计)上。这种垂直剖面系统是为美国海军(海军海洋学办公室- navoceano)开发的,用于对海洋中的生物发光进行常规监测。该BP的高泵送速率(18l /s)确保了高统计显著性和水柱中生物发光电位的高分辨率剖面。通过将这种能力与SPLAT CAM提供的浮游生物识别相结合,这两个系统的效用大大增强。由此产生的数据将被证明具有广泛的应用价值,如定义鞭毛藻华的地理边界,跟踪生物发光垂直迁徙者的运动模式,监测食草动物丰度的时间变化,作为环境变量和初级生产的函数,评估商业上重要鱼类的主要营养来源的生产,并为新南威尔士州的临近预报和预测提供所需的数据。
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SPLAT CAM: mapping plankton distributions with bioluminescent road-kill
The most common sources of planktonic bioluminescence are dinoflagellates, copepods, euphausiids, ostracods and gelatinous zooplankton. Each of these has very distinctive flash characteristics that make them easy to distinguish from each other. Using an intensified video camera mounted on a mid-water submersible we have developed the Spatial Plankton Analysis Technique (SPLAT) that identifies and maps the 3-dimensional microscale distribution patterns of bioluminescent plankton. The unique temporal and spatial characteristics of luminescent displays permit identification of many sources to the species level, and the exceptional signal-to-noise ratio afforded by a self-luminous source means that even microscopic organisms, such as a 50 /spl mu/m dinoflagellate, can be identified in a field of view of 1 m. Recently we have adapted the SPLAT CAM for deployment on the HIDEX-BP (High Intake Defined Excitation BathyPhotometer). This vertical profiling system was developed for the U.S. Navy (Naval Oceanographic Office-NAVOCEANO) for routine monitoring of bioluminescence in the oceans. The high pumping rate of this BP (18 l/s) assures a high statistical significance and a high-resolution profile of bioluminescence potential in the water column. By combining this capability with the plankton identification afforded by the SPLAT CAM, the utility of both systems is greatly enhanced. The resulting data should prove valuable for a wide range of applications such as defining the geographical boundaries of dinoflagellate blooms, tracking movement patterns of bioluminescent vertical migrators, monitoring temporal changes in the abundance of grazers as a function of environmental variables and primary production, assessing the production of primary sources of nutrition for commercially important fish species and providing data needed for NSW nowcasts and forecasts.
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