Japanese and Taiwanese pelagic longline fleet dynamics and the impacts of climate change in the southern Indian Ocean
Michael, PE and Wilcox, C and Tuck, GN and Hobday, AJ and Strutton, PG, Japanese and Taiwanese pelagic longline fleet dynamics and the impacts of climate change in the southern Indian Ocean, Deep-Sea Research. Part 2, 140 pp. 242-250. ISSN 0967-0645 (2017) [Refereed Article]
Copyright 2016 Crown copyright. Published by Elsevier Ltd.
Climate change is projected to continue shifting the distribution of marine species, leading to changes in local assemblages and different interactions with human activities. With regard to fisheries, understanding the relationship between fishing fleets, target species catch per unit effort (CPUE), and the environment enhances our ability to anticipate fisher response and is an essential step towards proactive management. Here, we explore the potential impact of climate change in the southern Indian Ocean by modelling Japanese and Taiwanese pelagic longline fleet dynamics. We quantify the mean and variability of target species CPUE and the relative value and cost of fishing in different areas. Using linear mixed models, we identify fleet-specific effort allocation strategies most related to observed effort and predict the future distribution of effort and tuna catch under climate change for 2063–2068. The Japanese fleet's strategy targets high-value species and minimizes the variability in CPUE of the primary target species. Conversely, the Taiwanese strategy indicated flexible targeting of a broad range of species, fishing in areas of high and low variability in catch, and minimizing costs. The projected future mean and variability in CPUE across species suggest a slight increase in CPUE in currently high CPUE areas for most species. The corresponding effort projections suggest a slight increase in Japanese effort in the western and eastern study area, and Taiwanese effort increasing east of Madagascar. This approach provides a useful method for managers to explore the impacts of different fishing and fleet management strategies for the future.
longline fleet, climate change, Indian Ocean, fisheries, tunas, linear mixed model, Gaussian location-scale model