Evaluating the impacts of environmental and fishery variability on the distribution of bigeye tuna in the Pacific Ocean

Climate change-induced variabilities in the environment and fishing pressure affect the distribution and abundance of bigeye tuna in the Pacific Ocean. Understanding the causal relationships among these factors is complicated and challenging. We constructed a multi-output neural network model based on data from four types of bigeye tuna fisheries (longline and purse seine in the west-central and eastern Pacific Ocean, respectively) and marine environmental data, aiming to analyse the response of bigeye tuna to natural and anthropogenic factors from 1995 to 2019 in the Pacific Ocean. The input layer weights were used to explore the importance of environmental variable, while the output layer weights evaluated the contribution of fishing operations. These factors determined the final spatiotemporal distribution and abundance dynamics for bigeye tuna. The optimal model predicted a strong correlation between the locations of major habitats and El Nino southern Oscillation (ENSO) events, indicating that bigeye tuna abundance dynamics respond to the intensity of climate variability. During El Nino events, suitable conditions lead to an expansion of the main habitats east of 170 degrees W, while during La Nina events, the strengthening of the westward advection leads to the contraction of major habitats west of 170 degrees W. Furthermore, the resource abundance of bigeye tuna is predicted to be higher during moderate to weak El Nino events than during strong El Nino events. The abundances in purse seine and longline-dependent fisheries demonstrate significant different distribution patterns under different ENSO events, reflecting the unique environmental preferences at different life stages of bigeye tuna. Given the increasing frequency of climate variability and escalating fishing pressures, our findings provide beneficial insights for the sustainable development of bigeye tuna resource in the Pacific Ocean.

Automated summary

Climate change and fishing pressure have impacts on the distribution and abundance of bigeye tuna in the Pacific Ocean. Researchers constructed a multi-output neural network model to analyze the response of bigeye tuna to natural and anthropogenic factors. The study found that environmental variables and fishing operations are key factors determining the spatiotemporal distribution and abundance dynamics of bigeye tuna. The research also revealed the influence of El Nino events on the locations of major habitats and the resource abundance of bigeye tuna, as well as the different distribution patterns of bigeye tuna under different fishing methods.