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A statistical assessment of the density of Antarctic krill based on "chaotic" acoustic data collected by a commercial fishing vessel

文献类型： 外文期刊

作者： Zhao, Yunxia 1 ; Wang, Xinliang 1 ; Zhao, Xianyong 1 ; Ying, Yiping 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Key Lab Sustainable Dev Polar Fisheries, Minist Agr & Rural Affairs, Qingdao, Peoples R China

2.Pilot Natl Lab Marine Sci & Technol Qingdao, Joint Lab Open Sea Fishery Engn, Qingdao, Peoples R China

关键词： Antarctic krill; acoustic data; Regional Gridding; Extended delta-distribution model; fishing vessel

期刊名称：FRONTIERS IN MARINE SCIENCE （ 影响因子：5.247； 五年影响因子：5.72 ）

ISSN：

年卷期： 2022 年 9 卷

页码：

收录情况： SCI

摘要： With the development of acoustic data processing technology, it is possible to make full use of the "chaotic" acoustic data obtained by fishing vessels. The purpose of this study is to explore a feasible statistical approach to assess the Antarctic krill density rationally and scientifically based on the acoustic data collected during routine fishing operations. The acoustic data used in this work were collected from the surveys conducted by the Chinese krill fishing vessel F/V Fu Rong Hai since the 2015/16 fishing season in the Bransfield Strait. We first processed acoustic data into small units of 0.1 nm, then selected the location of the central fishing ground for grid processing. Because of many zero and low values, we established a Regional Gridding and Extended Delta-distribution (RGED) model to evaluate the acoustic density of the krill. We defined the selection coefficient of grid size by using the coefficient of variation (CV) of the mean density and the weight of the effective covered area of the grids. Through the comparison of selection indexes, cells of 5'S x 10'W were selected as a computational grid and applied to the hotspot in the Bransfield Strait. Acoustic data reveal the distribution of krill density to be spatially heterogeneous. The CV of the mean density for 4 months converges at similar to 15% for cells of 5'S x 10'W. Simulations estimate krill resource densities in February to be similar to 1990 m(2) nm(-2) and to increase to similar to 8760 m(2) nm(-2) in May (4.4 times higher). We deem the RGED model to be useful to explore dynamic changes in krill resources in the hotspot. It is not only of great significance for guiding krill fishery, but it also provides krill density data for studying the formation mechanism of the resource hotspots.

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