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Environmental constraints, biological growth and fleet dynamics of a developing fishery: A model study of the Barents Sea snow crab (Chionoecetes opilio, Majidae) fishery
Fish and Fisheries ( IF 6.7 ) Pub Date : 2021-11-07 , DOI: 10.1111/faf.12618
Egil Hogrenning 1 , Arne Eide 2
Affiliation  

The snow crab (Chionoecetes opilio, Majidae) has recently entered the Barents Sea, and a crab fishery is developing. Information on how the crab appeared and where it is moving is limited. We study how the characteristics of the fleet may affect the further development of the fishery. A spatial model is constructed as a grid of cells given a carrying capacity for crab determined by environmental data, assumed to reflect crabs' preferences. The biological dynamics are modelled using cellular automata, describing the growth and movements of the crabs. The fleet dynamics is represented by scenarios of fleet behaviour and aptitude, using standard theories of harvest production and economics. Pattern-oriented modelling is used to calibrate the model. The fishery started in the Loophole, but is anticipated to expand as the crabs populate adjacent areas. We use simulations to explore a potential geographical expansion of the fishery. The fleet is assumed to continually expand the current fishing area by initiating fishing in adjacent areas, relying only on their own judgement to locate promising fishing grounds. We find an inability to successfully quantify the amount of crabs in the areas subject to exploration and the willingness to take risks to be two forces contributing to a long-term utilization of the stock. Both forces appear to make the fishers explore non-lucrative grounds, potentially leading them to lucrative grounds. However, information from other sources indicating the presence of crabs at various locations appears to be necessary to ensure a more complete exploration of the fishery.

中文翻译:

发展中渔业的环境限制、生物生长和船队动态:巴伦支海雪蟹(Chionoecetes opilio,Majidae)渔业的模型研究

雪蟹(Chionoecetes opilio, Majidae) 最近进入巴伦支海,正在发展捕蟹业。关于螃蟹如何出现以及它移动到哪里的信息是有限的。我们研究船队的特点如何影响渔业的进一步发展。一个空间模型被构建为一个网格,给定由环境数据确定的螃蟹承载能力,假设反映了螃蟹的偏好。使用元胞自动机对生物动力学进行建模,描述螃蟹的生长和运动。使用收获生产和经济学的标准理论,船队动态由船队行为和能力的情景表示。面向模式的建模用于校准模型。渔业从漏洞开始,但预计随着螃蟹在邻近地区的繁殖而扩大。我们使用模拟来探索渔业的潜在地理扩张。假设船队通过在邻近区域开始捕捞来不断扩大当前捕捞区域,仅依靠自己的判断来定位有希望的渔场。我们发现无法成功量化待勘探区域的螃蟹数量和冒险意愿是有助于长期利用种群的两种力量。这两种力量似乎都使渔民探索不赚钱的地方,有可能将他们引向有利可图的地方。然而,来自其他来源的信息表明在不同地点存在螃蟹似乎是必要的,以确保对渔业进行更完整的探索。假设船队通过在邻近区域开始捕捞来不断扩大当前捕捞区域,仅依靠自己的判断来定位有希望的渔场。我们发现无法成功量化待勘探区域的螃蟹数量和冒险意愿是有助于长期利用种群的两种力量。这两种力量似乎都使渔民探索不赚钱的地方,有可能将他们引向有利可图的地方。然而,来自其他来源的信息表明在不同地点存在螃蟹似乎是必要的,以确保对渔业进行更完整的探索。假设船队通过在邻近区域开始捕捞来不断扩大当前捕捞区域,仅依靠自己的判断来定位有希望的渔场。我们发现无法成功量化待勘探区域的螃蟹数量和冒险意愿是有助于长期利用种群的两种力量。这两种力量似乎都使渔民探索不赚钱的地方,有可能将他们引向有利可图的地方。然而,来自其他来源的信息表明在不同地点存在螃蟹似乎是必要的,以确保对渔业进行更完整的探索。我们发现无法成功量化待勘探区域的螃蟹数量和冒险意愿是有助于长期利用种群的两种力量。这两种力量似乎都使渔民探索不赚钱的地方,有可能将他们引向有利可图的地方。然而,来自其他来源的信息表明在不同地点存在螃蟹似乎是必要的,以确保对渔业进行更完整的探索。我们发现无法成功量化待勘探区域的螃蟹数量和冒险意愿是有助于长期利用种群的两种力量。这两种力量似乎都使渔民探索不赚钱的地方,有可能将他们引向有利可图的地方。然而,来自其他来源的信息表明在不同地点存在螃蟹似乎是必要的,以确保对渔业进行更完整的探索。
更新日期:2021-11-07
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