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Article . 1995
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A simulation model of the dynamics of Peruvian anchoveta (Engraulis ringens)

Authors: Hertlein, W.;

A simulation model of the dynamics of Peruvian anchoveta (Engraulis ringens)

Abstract

The article describes the key elements of a model simulating the dynamics of the anchoveta (Engraulis ringens) in the Peruvian upwelling system (4 degrees to 14 degrees South). This model, based on coupled differential equations, is parametrized mainly using empirical data and functional relationships presented in two volumes issued by ICLARM in 1987 and 1989, and may thus be viewed as test of the hypotheses presented therein. Results to date suggest that present knowledge of mechanisms controlling the anchoveta stock is essentially consistent, and sufficient to build a model reflecting essential features of the stock biomass and recruitment dynamics.

Keywords

Fishery biology, Clupeoid fisheries, Population dynamics, Models, Fisheries, Engraulis ringens, Population dynamics, Simulation, Models, Stock assessment, Marine fisheries, Fishery biology, Clupeoid fisheries Engraulis ringens, Stock assessment, Marine fisheries, Simulation, jel: jel:Q00

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green