Faculty of Biosciences, Fisheries and Economics, UiT - The Arctic University of Norway, Breivika, 9037, Tromsø, Norway.
NOFIMA, 9291, Tromsø, Norway.
Ambio. 2017 Dec;46(Suppl 3):387-399. doi: 10.1007/s13280-017-0955-1.
Climate change is expected to influence spatial and temporal distributions of fish stocks. The aim of this paper is to compare climate change impact on a fishery with other factors impacting the performance of fishing fleets. The fishery in question is the Northeast Arctic cod fishery, a well-documented fishery where data on spatial and temporal distributions are available. A cellular automata model is developed for the purpose of mimicking possible distributional patterns and different management alternatives are studied under varying assumptions on the fleets' fishing aptitude. Fisheries management and fishing aptitude, also including technological development and local knowledge, turn out to have the greatest impact on the spatial distribution of the fishing effort, when comparing the IPCC's SRES A1B scenario with repeated sequences of the current environmental situation over a period of 45 years. In both cases, the highest profits in the simulation period of 45 years are obtained at low exploitation levels and moderate fishing aptitude.
预计气候变化将影响鱼类种群的时空分布。本文旨在比较气候变化对渔业的影响与影响捕捞船队表现的其他因素。研究的渔业是东北北极鳕鱼渔业,这是一个记录良好的渔业,有关其时空分布的数据是可用的。为了模拟可能的分布模式,开发了一个元胞自动机模型,并在对船队捕捞能力的不同假设下研究了不同的管理方案。在将 IPCC 的 SRES A1B 情景与当前环境状况的重复序列进行比较时,渔业管理和捕捞能力(包括技术发展和本地知识)对捕捞努力的空间分布产生了最大的影响,为期 45 年。在这两种情况下,在 45 年的模拟期间,低开发水平和适度捕捞能力都能获得最高的利润。