不同环境因子权重对东海鲐鱼栖息地模型的影响研究

易炜; 郭爱; 陈新军

doi:10.3969/j.issn.0253-4193.2017.12.009

不同环境因子权重对东海鲐鱼栖息地模型的影响研究

doi: 10.3969/j.issn.0253-4193.2017.12.009

1.
上海海洋大学海洋科学学院, 上海 201306
2.
上海海洋大学海洋科学学院, 上海 201306;浙江海洋水产研究所, 浙江舟山 316021;农业部大洋渔业开发重点实验室, 上海 201306;国家远洋渔业工程技术研究中心, 上海 201306;大洋渔业资源可持续开发教育部重点实验室, 上海 201306

基金项目: 海洋局公益性行业专项（20155014）；上海市科技创新计划（15DZ1202200）。

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出版历程
- 收稿日期: 2017-04-19
- 修回日期: 2017-07-06

A study on influence of different environmental factors weights on the habitat model for Scomber japonicus

1.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;Marine Fisheries Research of Zhejiang, Zhoushang 316021, China;Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture, Shanghai 201306, China;National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China;Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China

摘要

摘要: 鲐鱼（Scomber japonicus）是栖息在西太平洋沿岸的中上层鱼类，了解其栖息地分布及其与海洋环境因子的关系有助于合理开发和管理该资源。本文根据2003-2011年7-9月中国东海鲐鱼的生产数据，采用正态分布函数分别构建海表面温度（sea surface temperature，SST）、海表温梯度（gradient of sea surface temperature，GSST）和海表面高度（sea surface height，SSH）与作业次数的适应性指数（suitability index，SI），基于不同权重的算术平均法（arithmetic weighted model，AWM）分别建立栖息地指数（habitat suitability index，HSI）模型，并用2012年7-9月生产数据进行验证。结果显示，7、8、9月各月最佳HSI模型的SST、STG和SSH的权重分别为0.5、0.25、0.25，0.8、0.1、0.1和0、1.0、0，利用2012年7-9月生产数据与环境数据对各月份最佳权重HSI模型进行验证，在HSI>0.6的海域，7、8、9月各月作业次数比重和产量比重分别为85.87%和92.55%，76.74%和86.69%，51.83%和56.11%。研究表明，不同月份的环境因子对鲐鱼渔场分布的影响程度不同，本研究为更好地预测鲐鱼栖息地奠定了基础。
- 鲐鱼 /
- 栖息地适应性指数 /
- 海洋环境因子 /
- 基于权重的算术平均法
Abstract: Scomber japonicus is a pelagic fish that inhabits the western Pacific Ocean. Understanding the distribution of its fishery and the relationship with marine environmental factors could help us to make reasonable use of the fishery stock. In this study, based on the production data of S.japonicus from July to September, 2003-2011, as well as sea surface temperature (SST), gradient of sea surface temperature (GSST),sea surface height (SSH) and fishing effort to establish the suitability index (SI) through using normal distribution function. This study used different weights to establish habitat suitability index (HSI) through using arithmetic weighted model (AWM), and using production data of July to September in 2012 to verify. The results show that the monthly suitable weights of SST, STG and SSH from July to September is 0.5, 0.25, 0.25; 0.8, 0.1, 0.1, and 0, 1.0, 0. According to the data during July to September in 2012, we found that the main fishing ground is distributed in the waters with HSI greater than 0.6, and the monthly proportion of fishing effort and catch from July to September was 85.87% and 92.55%, 76.74% and 86.69%, 51.83% and 56.11%. It is concluded that in different months different environmental factors have different effects on the distribution of S.japonicus fishery. This study laid the foundation for better predicting the fishing grounds of S.japonicus.
- Scomber japonicus /
- habitat suitability index /
- oceanic environmental factor /
- arithmetic weighted mean model

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