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首页> 外文期刊>ICES Journal of Marine Science >Development of a three-dimensional growth prediction model for the Japanese scallop in Funka Bay, Japan, using OGCM and MODIS
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Development of a three-dimensional growth prediction model for the Japanese scallop in Funka Bay, Japan, using OGCM and MODIS

机译：使用OGCM和MODIS开发日本丰卡湾扇贝的三维生长预测模型

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摘要

The Japanese scallop (Patinopecten (Mizuhopecten) yessoensis) is an important commercial species in Funka Bay, Japan, where it is farmed using the hanging culture method. Our study was based on 6 years (from 2006 to 2011) of monthly in situ observations of scallop growth at Yakumo station. To produce a basic spatial distribution dataset, we developed an interpolation solution for the shortage of Chl-a concentration data available from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite. Additionally, we integrated four-dimensional variational (4D-VAR) assimilation water temperature data from ocean general circulation models (OGCMs), with four vertical levels (6, 10, 14, and 18 m) from the sea surface. Statistical models, including generalized additive models (GAMs) and generalized linear models, were applied to in situ observation data, satellite data, and 4D-VARdata to identify the influence of environment factors (interpolated Chl-a, temperature, and depth) on the growth of scallops, and to develop a three-dimensional growth prediction model for the Japanese scallops in Funka Bay. We considered three methods to simulate the growth process of scallops (accumulation, summation, and product), and used them to select the most suitable model. All the interpolated Chl-a concentrations and 4D-VAR temperature data were verified by shipboard data. The results revealed that GAM, using an accumulation method that was based on a combination of integrated temperature, integrated log Chl-a, depth, and number of days, was best able to predict the vertical and spatial growth of the Japanese scallop. The predictions were verified by in situ observations from different depths (R-2 = 0.83-0.94). From the distribution of three-dimensional predicted scallop growth maps at each depth, it was suggested that the growth of the Japanese scallop was most favourable at 6 m and least favourable at 18 m, although variations occurred in each aquaculture region in different years. These variations were probably due to the ocean environment and climate variation.
机译：日本扇贝（Patinopecten（Mizuhopecten）yessoensis）是日本Funka湾的重要商业树种，采用悬挂式养殖方法进行养殖。我们的研究基于6年（从2006年至2011年）每月在八云站进行的扇贝生长的每月原位观测。为了生成基本的空间分布数据集，我们针对中分辨率成像光谱仪（MODIS）卫星提供的Chl-a浓度数据不足开发了一种插值解决方案。此外，我们整合了来自海洋总环流模型（OGCM）的四维变化（4D-VAR）同化水温数据，并从海面获得了四个垂直水位（6、10、14和18 m）。包括广义加性模型（GAM）和广义线性模型在内的统计模型被应用于原位观测数据，卫星数据和4D-VAR数据，以识别环境因素（内插Chl-a，温度和深度）对地形的影响。扇贝的生长，并为丰卡湾的日本扇贝开发三维增长预测模型。我们考虑了三种方法来模拟扇贝的生长过程（累积，求和和乘积），并使用它们来选择最合适的模型。所有内插的Chl-a浓度和4D-VAR温度数据均由船上数据验证。结果显示，GAM使用基于综合温度，综合log Chl-a，深度和天数的组合的累积方法，最能预测日本扇贝的垂直和空间增长。通过从不同深度的原位观测（R-2 = 0.83-0.94）验证了这些预测。从每个深度的三维预测扇贝生长图的分布来看，日本扇贝的生长在6 m处最有利，而在18 m处则最不利，尽管每个年份的水产养殖区域不同。这些变化可能是由于海洋环境和气候变化造成的。

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  • 来源
    《ICES Journal of Marine Science》 |2015年第9期|2684-2699|共16页
  • 作者

    Liu Yang; Saitoh Sei-Ichi; Ihara Yu; Nakada Satoshi; Kanamori Makoto; Zhang Xun; Baba Katsuhisa; Ishikawa Yoichi; Hirawake Toru;

  • 作者单位

    Hokkaido Univ, Arctic Res Ctr, Kita Ku, Sapporo, Hokkaido 0010021, Japan;

    Hokkaido Univ, Arctic Res Ctr, Kita Ku, Sapporo, Hokkaido 0010021, Japan|Hokkaido Univ, Fac Fisheries Sci, Lab Marine Bioresource & Environm Sensing, Hakodate, Hokkaido 0418611, Japan;

    Univ Tokyo, Grad Sch Frontier Sci, Dept Human & Engn Environm Studies, Kashiwa, Chiba 2778563, Japan;

    Kobe Univ, Fac Maritime Sci, Higashinada Ku, Kobe, Hyogo 6580022, Japan;

    Hokkaido Res Org, Hakodate Fisheries Res Inst, Fisheries Res Dept, Hakodate, Hokkaido 0400051, Japan;

    Hokkaido Univ, Fac Fisheries Sci, Lab Marine Bioresource & Environm Sensing, Hakodate, Hokkaido 0418611, Japan;

    Hokkaido Res Org, Fisheries Res Dept, Yoichi, Hokkaido 0468555, Japan;

    Japan Agcy Marine Earth Sci & Technol JAMSTEC, Data Res Ctr Marine Earth Sci, Kanazawa, Kanagawa 2360001, Japan;

    Hokkaido Univ, Arctic Res Ctr, Kita Ku, Sapporo, Hokkaido 0010021, Japan|Hokkaido Univ, Fac Fisheries Sci, Lab Marine Bioresource & Environm Sensing, Hakodate, Hokkaido 0418611, Japan;

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  • 正文语种 eng
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  • 关键词

    Funka Bay; Japanese scallop; MODIS; OGCM; prediction growth model;

    机译：Funka Bay;日本扇贝;MODIS;OGCM;预测增长模型;

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