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基于气候和环境因子的近海鲐鱼资源评估

张良成 郭爱 陈新军

广东海洋大学学报2018,Vol.38Issue(1):32-38,7.
广东海洋大学学报2018,Vol.38Issue(1):32-38,7.DOI:10.3969/j.issn.1673-9159.2018.01.005

基于气候和环境因子的近海鲐鱼资源评估

Stock Assessment of Chub Mackerel (Scomber japonicus) Based on Environmental and Climatic Factors

张良成 1郭爱 1陈新军2

作者信息

  • 1. 上海海洋大学海洋科学学院
  • 2. 浙江海洋水产研究所,舟山 316021
  • 折叠

摘要

Abstract

[Objectives] To study the effect of environmental and climatic factors on the growth,reproduction and recruitment of chub mackerel (Scomber japonicus).[Method] According to the catch and fishing effort of the purse seine fishery with lights (PSFL),the authors have developed a surplus production model and tried to optimize the model by using monthly sea surface temperature (SST) at 127°30′E and 29°30′N of the spawning ground in June from 2000 to 2011,sea surface temperature anomaly (Nino-SSTA) of Nino 3.4 area,Pacific decadal oscillation (PDO) index and southern oscillation index (SOI) from 1990-2011.The impacts of SST,Nino-SSTA,PDO and SOI on the chub mackerel stock and its maximum sustainable yield were analyzed.[Result] According to the Pearson correlation analysis,the authors observed that there was no correlation between PDO and the residual CPUE (Catch Per Unit Effort),but the relationships between SST,Nino-SSTA,SOI and the residual CPUE were significant.The optimized models by using the most correlated two factors,i.e.SST and SSTA,were better than that with non-environmental factors.[Conclusion] Therefore,it is concluded that the SST at 127°30′E and 29°30rN of the spawning ground in June,and Nino-SSTA have greatly affected the stock resources of Chub mackerel.It is also suggested that we should consider the environmental factors of each year in developing management strategies.

关键词

鲐鱼/剩余产量模型/海表面温度/Nino 3.4区海表温度距平值/产卵场

Key words

Scomber japonicus/surplus production model/sea surface temperature/sea surface temperature anomaly in the Nino3.4 area/spawning ground

分类

管理科学

引用本文复制引用

张良成,郭爱,陈新军..基于气候和环境因子的近海鲐鱼资源评估[J].广东海洋大学学报,2018,38(1):32-38,7.

基金项目

海洋局公益性行业专项(20155014),上海市科技创新行动计划(14DZ1205000)资助 (20155014)

广东海洋大学学报

OACHSSCDCSTPCD

1673-9159

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