International Journal of Marine Science, 2024, Vol.14, No.1, 1-5 http://www.aquapublisher.com/index.php/ijms 1 Academic Commentary Open Access Interpretation of Ensemble Forecasting Study on the Response of Fish Distribution in the Yellow and Bohai Seas of China to Climate Change JinniWu Cuixi Academy of Biotechnology, Zhuji, 311800, China Corresponding author email: 2314548193@qq.com International Journal of Marine Science, 2024, Vol.14, No.1, doi: 10.5376/ijms.2024.14.0001 Received: 10 Nov., 2023 Accepted: 15 Dec., 2023 Published: 10 Jan., 2024 Copyright © 2024 Wu, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Wu J.N., 2024, Interpretation of ensemble forecasting study on the response of fish distribution in the Yellow and Bohai Seas of China to climate change, International Journal of Marine Science, 14(1): 1-5 (doi: 10.5376/ijms.2024.14.0001) Abstract This article provides an academic review of the research titled "Ensemble projections of fish distribution in response to climate changes in the Yellow and Bohai Seas, China" Ensemble prediction of fish distribution in response to climate change in the Yellow and Bohai Seas. In order to determine the geographical distribution pattern and potential suitable habitats for fish in the Yellow and Bohai Seas, this study established a spatial distribution set model for 22 important fish species using 3185 valid distribution records extracted from multiple databases and 9 environmental variables. The research results provide a theoretical basis for predicting climate driven changes in the range of fish activity in one of the most severely affected marine ecosystems in the world, and can be extended to developing climate adaptive management strategies. This review mainly summarizes the main contents and innovations of the study, puts forward academic suggestions for the future research direction of the study, and quantifies the impact of climate change on marine Species distribution. Keywords Climate change; Fish distribution; Ensemble model Climate change has become one of the important driving forces that pose the greatest long-term threat to marine ecosystems in this century. The global fishery resources are facing challenges such as overfishing, habitat degradation, and pollution, and the physiological and chemical changes in water conditions further exacerbate this problem. Therefore, studying the impact of climate change on fish resources, especially on fish distribution, is crucial for effective fisheries management. Climate change has a wide and profound impact on the distribution of marine fish. The rise in ocean temperature, the increase in ocean acidification, changes in ocean circulation, and disturbances in marine ecosystems all have direct and indirect impacts on the habitat and survival status of fish. These impacts involve habitat selection, migration patterns, success rate of reproduction, and population size of fish. Understanding these impacts is of great significance for developing effective fisheries management and protection measures, as well as strategies to adapt to climate change. Further research and monitoring will help to better understand the impact of climate change on the distribution of marine fish, and take corresponding management and protection measures to ensure the sustainable use of fish resources and the health of marine ecosystems. This review interprets the research content and main findings of the article “Ensemble projections of fish distribution in response to climate changes in the Yellow and Bohai Seas, China”.This study aims to predict the impact of climate change on the distribution of 22 important fish species in the Yellow Sea and Bohai Sea regions by constructing an integrated model (Figure 1), in order to provide scientific basis and management strategies (Barnett et al., 2019). The research results indicate that climate change has a significant impact on the distribution of fish, and the geographical distribution of fish will undergo significant changes in the future (Albouy et al., 2012). The integrated method of species distribution models (SDMs) was adopted, combining information from multiple models to predict the spatial distribution of 22 important fish species in the Yellow Sea and Bohai Sea regions. This study constructed an integrated model using 3185 valid distribution records and 9 environmental variables from multiple databases. The study evaluated the accuracy of the model and analyzed the main environmental factors affecting fish distribution.
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