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How fisher behavior can bias stock assessment: insights from an agent-based modeling approach
Canadian Journal of Fisheries and Aquatic Sciences ( IF 2.4 ) Pub Date : 2020-09-25 , DOI: 10.1139/cjfas-2019-0025
Steven Saul 1 , Elizabeth N. Brooks 2 , David Die 3
Affiliation  

Canadian Journal of Fisheries and Aquatic Sciences, Ahead of Print.
During stock assessment, fishery-dependent observations are often used to develop indices of abundance or biomass from catch per unit of effort (CPUE) and contribute catch at size or age information. However, fisher behavior, rather than scientific sampling protocols, determines the spatial and temporal locations of fishery-dependent observations. As a result, trends from fishery-dependent data may be a function of fishing activity rather than fish population changes. This study evaluates whether data collected from commercial fishing fleets in the Gulf of Mexico are representative of trends in fish population size. A coupled bioeconomic agent-based model was developed to generate simulated fishery data, which were used to populate an age-structured stock assessment. Comparison of stock assessment results with simulated fish population dynamics showed that management advice from assessment models based on fishery-dependent data could be biased. Assessment of fish with small home ranges harvested by fishing fleets that frequent the same fishing grounds could cause overestimation of fishing mortality. Not accounting for the spatial structure of the fishers or fish can cause biased estimates of population status.


中文翻译:

渔民的行为如何使种群评估产生偏差:基于代理的建模方法的见解

《加拿大渔业和水生科学杂志》,印刷前。
在种群评估期间,依赖渔业的观测常常被用来从每单位努力量(CPUE)的捕捞量中得出丰度或生物量指数,并提供有关捕捞量或年龄信息的捕捞量。但是,渔民的行为而不是科学的采样协议决定了依赖渔业的观测的时空位置。结果,来自依赖渔业的数据的趋势可能是捕捞活动的函数,而不是鱼类种群的变化。这项研究评估了从墨西哥湾的商业捕鱼船队收集的数据是否代表了鱼类种群规模的趋势。建立了一个基于生物经济因素的耦合模型,以生成模拟的渔业数据,这些数据用于填充年龄结构的种群评估。种群评估结果与模拟鱼类种群动态的比较表明,基于渔业相关数据的评估模型中的管理建议可能会产生偏差。对经常在同一渔场捕鱼的渔船队收获的小范围鱼的评估可能导致高估捕捞死亡率。不考虑渔民或鱼类的空间结构,可能导致人口状况的估计偏差。
更新日期:2020-10-07
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