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首页> 外文期刊>Aquaculture International >Biophysical models for Japanese scallop, Mizuhopecten yessoensis, aquaculture site selection in Funka Bay, Hokkaido, Japan, using remotely sensed data and geographic information system
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Biophysical models for Japanese scallop, Mizuhopecten yessoensis, aquaculture site selection in Funka Bay, Hokkaido, Japan, using remotely sensed data and geographic information system

机译：日本北海道Funka湾扇贝，日本水扇贝，水产养殖地点选择的生物物理模型，使用遥感数据和地理信息系统

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摘要

Scallop aquaculture has grown to become the most successful marine shellfish farming venture in Japan. To ensure long-term sustainability of scallop production, suitable sites need to be selected. This study was conducted to identify the most suitable sites for hanging culture of Japanese scallop (Mizuhopecten yessoensis) based on measured biophysical parameters and modeled using geographic information system (GIS) models. Four biophysical parameters that influence Japanese scallop aquaculture in Funka Bay were selected: sea temperature, food availability (chlorophyll-a), suspended solid, and bathymetry. The SeaWiFS and MODIS images were used to extract most of these parameters. A series of GIS models was developed to identify suitable sites for scallop culture using a multi-criteria evaluation (MCE) known as weighted linear combination. Suitability scores were ranked on a scale from 1 (least suitable) to 8 (most suitable), and about 83% of the total potential area with bottom depths less than 60 m had scores of 7 and 8. The final model outputs were compared with field verification data and found to be consistent. Local sensitivity analysis was used to test the robustness of the model output. Based on this analysis, the order of importance of the variables affecting the model was as follows: suspended solid > chlorophyll-a > sea temperature.
机译：扇贝养殖已发展成为日本最成功的海洋贝类养殖企业。为了确保扇贝生产的长期可持续性，需要选择合适的场所。进行了这项研究，以根据测得的生物物理参数并使用地理信息系统（GIS）进行建模，确定最适合悬挂日本扇贝（Mizuhopecten yessoensis）的养殖场所。选择了影响日本在丰卡湾扇贝养殖的四个生物物理参数：海水温度，食物供应量（叶绿素-a），悬浮固体和测深法。 SeaWiFS和MODIS图像用于提取大多数这些参数。开发了一系列GIS模型，以使用称为加权线性组合的多标准评估（MCE）来识别扇贝养殖的合适地点。适宜性评分的等级从1（最不适合）到8（最不适合），在底部深度小于60 m的总潜在区域中，约有83％的评分为7和8。现场验证数据，发现是一致的。局部灵敏度分析用于测试模型输出的鲁棒性。基于此分析，影响模型的变量的重要性顺序如下：悬浮固体>叶绿素-a>海水温度。

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  • 来源
    《Aquaculture International》 |2009年第5期|403-419|共17页
  • 作者

    I Nyoman Radiarta; Sei-Ichi Saitoh;

  • 作者单位

    Laboratory of Marine Bioresource and Environment Sensing Graduate School of Fisheries Sciences Hokkaido University 3-1-1 Minato-cho Hakodate Hokkaido 041-8611 Japan;

    Laboratory of Marine Bioresource and Environment Sensing Graduate School of Fisheries Sciences Hokkaido University 3-1-1 Minato-cho Hakodate Hokkaido 041-8611 Japan;

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  • 正文语种 eng
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  • 关键词

    Aquaculture; Biophysical; Funka Bay; GIS; Remote sensing; Scallop; Site selection;

    机译：水产养殖;生物物理;Funka Bay;GIS;遥感;扇贝;选址;

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