Detection of potential fishing zone for Pacific saury (Cololabis saira) using generalized additive model and remotely sensed data

3rd International Symposium on LAPAN-IPB Satellite For Food Security and Environmental Monitoring 2016

地球科学;轻工业;生态环境科学

Syah, Achmad Fachruddin^1 ; Saitoh, Sei-Ichi^2 ; Alabia, Irene D.^2 ; Hirawake, Toru^3

Department of Marine Science, University of Trunojoyo Madura, Jalan Raya Telang, Kamal, Bangkalan-Madura, Indonesia^1

Arctic Research Center, Hokkaido University, N21-W11, Kita-ku, Sapporo

001-0021, Japan^2

Laboratory of Marine Environment and Resource Sensing, Faculty of Fisheries Sciences, Hokkaido University, 3-1-1 Minato-cho, Hakodate

041-8611, Japan^3

关键词: Akaike's information criterions;    Defense Meteorological Satellite Programs;    Generalized additive model;    Oceanographic conditions;    Oceanographic informations;    Significant variables;    Species-habitat models;    Western North Pacific;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/54/1/012074/pdf
DOI  :  10.1088/1755-1315/54/1/012074

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To evaluate the effects of oceanographic conditions on the formation of the potential fishing zones for Pacific saury in western North Pacific, fishing locations of Pacific saury from Defense Meteorological Satellite Program/Operating Linescan System (DMSP/OLS) and satellite-based oceanographic information were used to construct species habitat models. A 2-level slicing method was used to identify the bright regions as actual fishing areas from OLS images, collected during the peak fishing season of Pacific saury in the North Pacific. Statistical metrics, including the significance of model terms, and reduction in the Akaike's Information Criterion (AIC) were used as the bases for model selection. The selected model was then used to visualize the basin scale distributions of the Pacific saury habitat. The predicted potential fishing zones exhibited spatial correspondence with the fishing locations. The results from generalized additive model revealed that the Pacific saury habitat selection was significantly influenced by the SST ranges from 13-18°C, SSC ranges from 0.5-1.8 mg.m-3, SSHA ranges from 5-17 cm and EKE ranges from 700-1200 cm2s-2. Moreover, among the set of oceanographic factors examined, SST explained the smallest AIC and is thus, considered to be the most significant variable in the geographic distribution of Pacific saury.