Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

October 21, 2022


Pages

2551-2566


DOI

Article

The impact of global warming on the small Scottish Fishing Company

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Authors

Lixiu Ma Affiliation:
School of Electrical and Electronic Engineering, Shandong University of Technology, Shandong 255049, China
, Haozheng Gu Affiliation:
School of Electrical and Electronic Engineering, Shandong University of Technology, Shandong 255049, China
, Guy M. Bernard Affiliation:
Department of Chemistry, University of Alberta, Alberta, T6G 2G2, Canada
and Xiaochuan Ma Affiliation:
School of Physics and Technology, Wuhan University, Hubei 430072, China


Abstract

Global warming has a complex impact on the Scottish fishery. This research studies this impact using reported data and proposes appropriate solutions to minimise its impact. First, climate models are used to predict temperature changes over the next 50 years based on past data; from the known living temperatures for fish such as mackerel and herring, their future migration routes are predicted. Researchers note that this model is probably overly conservative, and our predictions should be considered a best-case scenario: the impact of climate change will be worse if, as expected, the pace of climate change continues to accelerate. Second, building a model to determine when fishery vessels will no longer be able to locate fish under different circumstances. Third, building economic models to determine the relationships between profits, the distances fishery vessels must travel and project these to the future. This research projects that small Scottish fishing companies will go bankrupt during the next 50 years if they do not change their business strategy.


Keywords

Mackerel, herring, sea water temperature, quantification, prediction, fishery vessel


Citation

Ma, L., Gu, H., Bernard, G. M., & Ma, X. (2021). The impact of global warming on the small scottish fishing company. Applied Mathematics and Nonlinear Sciences, 6(2), 2551–2566. https://doi.org/10.2478/amns.2021.2.00127
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