Estimating relative abundance from catch and effort data, using neural networks

Maunder, Mark N. and Hinton, Michael G. (2006) Estimating relative abundance from catch and effort data, using neural networks. La Jolla, CA, Inter-American Tropical Tuna Commission, 22pp. (Inter-American Tropical Tuna Commission Special Report, 15)

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Abstract

We develop and test a method to estimate relative abundance from catch and effort data using neural networks. Most stock assessment models use time series of relative abundance as their major source of information on abundance levels. These time series of relative abundance are frequently derived from catch-per-unit-of-effort (CPUE) data, using general linearized models (GLMs). GLMs are used to attempt to remove variation in CPUE that is not related to the abundance of the population. However, GLMs are restricted in the types of relationships between the CPUE and the explanatory variables. An alternative approach is to use structural models based on scientific understanding to develop complex non-linear relationships between CPUE and the explanatory variables. Unfortunately, the scientific understanding required to develop these models may not be available. In contrast to structural models, neural networks uses the data to estimate the structure of the non-linear relationship between CPUE and the explanatory variables. Therefore neural networks may provide a better alternative when the structure of the relationship is uncertain. We use simulated data based on a habitat based-method to test the neural network approach and to compare it to the GLM approach. Cross validation and simulation tests show that the neural network performed better than nominal effort and the GLM approach. However, the improvement over GLMs is not substantial. We applied the neural network model to CPUE data for bigeye tuna (Thunnus obesus) in the Pacific Ocean.

Item Type: Monograph or Serial Issue
Title: Estimating relative abundance from catch and effort data, using neural networks
Personal Creator/Author:
CreatorsEmail
Maunder, Mark N.
Hinton, Michael G.
Series Name: Inter-American Tropical Tuna Commission Special Report
Number: 15
Number of Pages: 22
Date: 2006
Publisher: Inter-American Tropical Tuna Commission
Place of Publication: La Jolla, CA
Issuing Agency: Inter-American Tropical Tuna Commission
Subjects: Fisheries
Item ID: 6778
Depositing User: Joan Parker
Date Deposited: 20 Sep 2011 09:00
Last Modified: 29 Sep 2011 13:08
URI: http://aquaticcommons.org/id/eprint/6778

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