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渔业资源动态的综合时序模型

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  • 1. 宁波大学 生命科学与生物工程学院,浙江 宁波 315211;
    2. "应用海洋生物技术"教育部重点实验室,浙江 宁波 315211
倪海儿(1958- ),女,浙江舟山人,教授,主要从事渔业资源研究。

收稿日期: 2010-05-02

  修回日期: 2010-12-19

  网络出版日期: 2011-06-20

基金资助

浙江省自然科学基金(Y306163)。

Combined Time Series Models for the Dynamic Analysis of the Fisheries Resources

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  • 1. Faculty of Life Science and Technology, Ningbo University, Ningbo 315211, China;
    2. Key Laboratory of Applied Marine Biotechnology, Ministry of Education, Ningbo 315211, China

Received date: 2010-05-02

  Revised date: 2010-12-19

  Online published: 2011-06-20

摘要

渔业资源的变动是一个随机过程,它既有确定性趋势,又有随机波动的特性。论文把灰色系统方法和时序分析相结合,用灰色GM(1,1)模型提取渔业资源变动中的确定性趋势,用时序模型描写它的随机波动,从而建立渔业资源动态的灰色时序模型。考虑到渔业资源的变化受到捕捞强度的影响,同时建立渔获量和单位捕捞努力量的渔获量(CPUE)关于捕捞努力量的二元时序模型。利用灰色时序模型和多元时序模型,对舟山渔场渔业资源的动态变化进行分析和预测,结果表明灰色时序模型和多元时序模型能很好地拟合渔业资源的变动过程,精确地预测渔业资源未来的状况。

本文引用格式

倪海儿, 周瑞娟 . 渔业资源动态的综合时序模型[J]. 自然资源学报, 2011 , 26(6) : 992 -1000 . DOI: 10.11849/zrzyxb.2011.06.010

Abstract

The variation of fisheries resources is a random process. They vary with not only inherent tendency, but also random fluctuation. Combining grey system theory with time series analysis, the grey time series models were built. The varying tendency of fisheries resources was pick-up by GM(1,1), then the random fluctuation was characterized by time series models. In order to eliminate the effect of fishing effort on the variation of fisheries resources, the multivariable time series models were built relating catch to fishing effort and catch per unit effort (CPUE) to fishing effort. Using the grey time series models and multivariable time series models the dynamic analysis and prediction of the fisheries resources in Zhoushan Fishing Ground were made. It was showed that the grey time series models and multivariable time series models can accurately fit the varying process and predict the coming state of fisheries resources.

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