当前位置: X-MOL 学术Prog. Oceanogr. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Three-dimensional cross-shelf zooplankton distributions off the Central Oregon Coast during anomalous oceanographic conditions
Progress in Oceanography ( IF 4.1 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.pocean.2020.102436
Christian Briseño-Avena , Moritz S. Schmid , Kelsey Swieca , Su Sponaugle , Richard D. Brodeur , Robert K. Cowen

Abstract The Northern California Current (NCC) is a complex, dynamic system experiencing distinctly different levels of upwelling and downwelling, ranging from intermittent upwelling in summer to downwelling in winter. In recent years, warm water anomalies along the Oregon coast have had significant effects on coastal plankton assemblages. To resolve some of the fine-scale responses to these conditions, we used a towed, undulating underwater imaging system to investigate fine-scale (1 m vertical) zoo- and ichthyoplankton distributions along a 57-km section parallel to the Newport Hydrographic Line encompassing the shelf, shelf break, and slope off the central coast of Oregon. A sparse Convolutional Neural Network was used to automate the identification of 52 million plankton images of 64 plankton taxa, ranging from protists to copepods, larval fishes, and gelatinous organisms. Taxa distributions were interpolated over the whole transect, providing unprecedented insight into their horizontal and vertical distributions and revealing seven broad patterns of distribution. Additional fine-scale distribution data enable examination of some of the physical and biological processes underlying these fine-scale distribution patterns, building upon the historical time series data that exists for this region and advancing our knowledge of planktonic processes in this productive region of the NCC.

中文翻译:

异常海洋条件下俄勒冈州中部海岸的三维跨架浮游动物分布

摘要 北加州洋流 (NCC) 是一个复杂的动态系统,经历了明显不同程度的上升流和下降流,范围从夏季间歇性上升流到冬季下降流。近年来,俄勒冈州沿岸的暖水异常对沿海浮游生物组合产生了重大影响。为了解决对这些条件的一些精细尺度响应,我们使用拖曳的、起伏的水下成像系统来研究沿与纽波特水道测量线平行的 57 公里部分的精细尺度(1 m 垂直)浮游动物和鱼类分布。俄勒冈州中部海岸的大陆架、大陆架断裂和斜坡。使用稀疏卷积神经网络自动识别 64 个浮游生物分类群的 5200 万张浮游生物图像,范围从原生生物到桡足类,幼鱼和胶状生物。分类群分布在整个横断面内插,提供了对它们的水平和垂直分布的前所未有的洞察力,并揭示了七种广泛的分布模式。额外的精细分布数据可以检查这些精细分布模式背后的一些物理和生物过程,以该地区存在的历史时间序列数据为基础,并提高我们对 NCC 生产区浮游过程的了解.
更新日期:2020-10-01
down
wechat
bug