Abstract
Brown shrimp (Penaeus subtilis) trawling in the northern coastal waters of Brazil is an industrial fishing activity with a share in the international market and an important resource in the fishery market. Due to the scarcity of updated information on this practice and owing to its complexity, it is difficult to have a measurement of all dimensions of the development of this fishery, whether they are ecological, economic, or social-institutional. The present paper uses an assessment tool focused on data-poor fishery systems, the Fishery Performance Indicators (FPIs), to assess the multidimensional conditions of this fishery. The indicators were assessed between 2019 and 2020, and the metrics were based on public official data, scientific publications, in loco consultations with production agents, and databases of research projects. Results showed that the critical points of this activity are primarily related to the ecological indicator (1.75), which obtained a lower score compared to other fisheries assessed using the same methodology. This is due to its low selectivity, which results in high by-catch volumes and discards. The limited participation of productive chain actors also restrains the efficacy of management measures, which hampers successful resource management. This issue maximizes other setbacks throughout the productive chain, such as economic and social factors.
Highlights
The industrial modality of marine trawling has been increasing in several countries over time, standing out as an important and lucrative commercial activity (Pauly and Zeller, 2016)
The southern brown-shrimp – P. subtilis – is the most important species for the industrial trawling fleet that operates on the Amazon Continental Shelf (ACS), in northern Brazil (Martins et al, 2015)
The present study aims to use the Fishery Performance Indicators (FPIs) tools for industrial brown-shrimp fisheries on the northern coast of Brazil
Summary
The industrial modality of marine trawling has been increasing in several countries over time, standing out as an important and lucrative commercial activity (Pauly and Zeller, 2016). Fishery Performance Indicator tools allow evaluating the stock status, environmental conditions of the fishery area, the performance of catch and post-harvest sectors, as well as market and resource management aspects (Anderson et al, 2015) This methodology can be applied to data-poor fishery systems, which are common in developing countries. This fishery has been chosen based on its social-economic relevance to this region, as it generates employment and income, as well as significant revenue for the country. Fishery Performance Indicators are used as an attempt to tackle the lack of information on this activity through a holistic assessment, considering its environmental, economic, and community aspects, providing an opportunity to compare it with other fishery systems around the world and providing a broad view of the current fishery status, helping to design and provide recommendations for management measures
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