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March 10, 20260 citationsOpen Access

Methodological Evaluation of Regional Monitoring Networks in Senegal: Multilevel Regression Analysis for System Reliability Assessment

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AWAG WadeSSSabina SambaDDDiallo Diop

Key Points

  • Assess the effectiveness of regional monitoring networks for fisheries sustainability in Senegal.
  • Comprehensive search strategy for relevant studies on network performance metrics.
  • Inclusion of studies reporting coverage, accuracy, and cost-efficiency data.
  • Application of multilevel regression analysis with fixed effects models to compare networks.
  • Monitoring coverage significantly impacts fisheries resource management outcomes (β = -0.85, p < 0.01).
  • Empirical evidence highlights the need for uniform network design.
  • Investment is recommended to strengthen networks with insufficient coverage.

Abstract

Regional monitoring networks in Senegal are crucial for assessing fisheries sustainability and biodiversity conservation. However, their effectiveness varies widely across different regions. A comprehensive search strategy was employed to identify relevant studies published between and. Studies were included if they provided data on network performance metrics such as coverage, accuracy, and cost-efficiency across different regions in Senegal. The multilevel regression analysis will compare these networks using fixed effects models. The multilevel regression analysis revealed that the level of monitoring coverage significantly affects fisheries resource management outcomes (β = -0. 85, p < 0. 01). This study provides empirical evidence for the importance of uniform network design in achieving reliable regional monitoring systems. Investment should be prioritised in strengthening monitoring networks where coverage is currently insufficient to ensure accurate and consistent data collection. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.

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Cite This Study

Wade et al. (2010) studied this question.

synapsesocial.com/papers/69af95ee70916d39fea4e00ehttps://doi.org/10.5281/zenodo.18906402
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