Aggregation and Metabolism in Northern Boreal Euphausiids

中文（简体） 该项目采取了一种新的方法来观察和理解浮游动物斑块动态，在理论和仪器的最新发展的支持。 本研究项目的物种是北方北方的Euphasiids Thysanoessa raschii，T. inermis和Meganyctiphanes norvegica。 这些是本研究的理想受试生物，因为关于它们的基本生理学和生态学已经有很多了解。 强烈的昼夜和季节性变化的生理活动，预计提供可测量的差异，在代谢和聚集行为。 测量这种显著差异的能力很重要，因为这项研究强调使用生物声学技术的新应用观察新陈代谢。 本项目将探索声学多普勒海流剖面仪（ADCP）的新应用，利用多普勒频谱展宽的测量来量化这些euphasiids在原地的运动活动。 运动和呼吸代谢之间的关系，这是很好地建立了其他euphasiid物种，将测量的三个物种在拟议的研究领域的Balsfjorden，挪威北方。 这项研究将提供一个新的，非侵入性的方法来测量大型浮游动物的原位代谢状态的评估。 结果将导致更好地了解运动行为本身如何影响斑块形成、维持和消散的模式。 这些发现将解释的一个新的模型，描述斑块动力学过程中的统计力学的框架内。 预计新的基础知识将被添加到三种在北极生态系统中发挥核心作用的euphasiids的聚集行为的理解。

Abstract OPP-9423329 This project takes a novel approach to observing and understanding zooplankton patch dynamics, supported by recent developments in both theory and instrumentation. The species for this research project are the northern boreal euphasiids Thysanoessa raschii, T. inermis and Meganyctiphanes norvegica. These are ideal subject organisms for this study, because much is already known regarding their basic physiology and ecology. Strong diel and seasonal changes in their physiological activity are expected to provide measurable differences in both metabolism and aggregation behavior. The ability to measure such significant differences is important, because the research emphasizes observations of metabolism, using a novel application of bioacoustic technology. This project will explore a new application of the acoustic Doppler current profiler (ADCP), using measurements of Doppler spectral broadening to quantify locomotory activities of these euphasiids in situ. The relationship between locomotion and respiratory metabolism, which is well established for other euphasiid species, will be measured for the three species in the proposed study area of Balsfjorden, northern Norway. This research will provide an assessment of a new, non-invasive method for measuring the in situ metabolic state of macrozooplankton. The results will lead to a better understanding of how locomotory behavior, per se, influences patterns of patch formation, maintenance and dissipation. These findings will be interpreted within the framework of a mew model that describes patch dynamical processes in terms of statistical mechanics. It is expected that new basic knowledge will be added to the understanding of aggregation behavior of the three species of euphasiids that play a central role in Arctic ecosystems.