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

作　　者：WANG Rui ZHU Guoping 

机构地区：[1]College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China [2]Polar Marine Ecosystem Group, Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China [3]National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China

出　　处：《Journal of Ocean University of China》2019年第4期939-946,共8页中国海洋大学学报（英文版）

基　　金：sponsored partly by the National Key R&D Program of China (No. 2018YFC1406801);the National Natural Science Foundation of China (No. 41776185);the Key Course Construction Program of the Shanghai Municipal Education Commission (Biological Oceanography) (No. A1-0201-00-1204)

摘　　要：Each type of fishery has its own characteristic behavior, and understanding this condition is an important part of devel- oping 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. Fur- thermore, 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.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 heavytailed 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.

关 键 词：Lévy random WALK Antarctic KRILL FISHERY FISHING pattern CCAMLR 

分 类 号：P[天文地球]