Inferring Behavior of Chinese Krill Fishing Vessel Using a Simple Walk Model

Abstract

Each type of fishery has its own characteristic behavior, and understanding this condition is an important part of developing and managing fishing operations comprehensively. Based on the random walk model, the relationship between distance and frequency distribution of adjacent fishing positions was analyzed by the Commission for Conservation of Antarctic Marine Living Resources (CCAMLR) Subareas 48.1, 48.2, and 48.3. The frequency of distances between consecutive hauls demonstrated a heavy- tailed distribution, which could be used to estimate the value of parameter μ in the power function F( l) ~ l ^{− μ} of a random walk model to determine the type of random walk patterns that characterize Chinese krill fishery. Results indicated that the fishing pattern of the Chinese krill fishery is consistent with the Lévy random walk model, with which the step-length is applied to analyze the walking pattern. When a defined walk in a space of dimension is greater than one, the steps made are in isotropic random directions. Furthermore, a strong and positive correlation between fishing behavior (using the parameter μ as an indicator) and catch per unit effort of the Chinese krill fishery was observed.

Journal

Journal ID (publisher-id): JOUC

Title: Journal of Ocean University of China

Publisher: Science Press and Springer (China )

ISSN (Electronic): 1672-5182

Publication date (Electronic): 06 July 2019

Publication date (Print): 01 October 2019

Volume: 18

Issue: 4

Pages: 939-946

Affiliations

¹College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

²Polar Marine Ecosystem Group, Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China

³National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China

Author notes

*Corresponding author: ZHU Guoping

Article

Publisher ID: s11802-019-3976-5

DOI: 10.1007/s11802-019-3976-5

Copyright statement: Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2019.

License:

The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

Product

Self URI (journal-page): https://www.springer.com/journal/11802