Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach

TL;DR

This paper uses complex network analysis to explore the fisheries dynamics in the Azores, revealing key associations and network structures that inform sustainable management of marine resources.

Contribution

It introduces a novel application of network analysis to Azores fisheries, uncovering relationships and key nodes that enhance understanding of the ecosystem.

Findings

Associations between Tunas and specific islands

Links among different fish classifications

Identification of pivotal nodes in the fishing network

Abstract

In the context of the global seafood industry, the Azores archipelago (Portugal) plays a pivotal role due to its vast maritime domain. This study employs complex network analysis techniques to investigate the dynamics of Azores fisheries, using time series data converted into networks. We uncover associations between Tunas and specific islands, consistent links among fish classifications, and identify other pivotal nodes within the fishing network. Remarkably, nodes with high degrees and a local clustering coefficient of one provide crucial insights into the fishing ecosystem. This study highlights the value of network analysis for understanding fisheries complexities and offers insights into sustainable management and the preservation of marine ecosystems. It also emphasizes the urgency for ongoing research and data collection to enrich our understanding of this multifaceted domain.