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Towards Sustainable Fisheries Management in Tunisian Reservoirs: A Stock Assessment Approach
Research Article June 30, 2026

Towards Sustainable Fisheries Management in Tunisian Reservoirs: A Stock Assessment Approach

Stabilization and Valorization of Plant Polyphenols: From Biosynthesis Regulation to Processing and Application
Systematic Review June 03, 2026

Stabilization and Valorization of Plant Polyphenols: From Biosynthesis Regulation to Processing and Application

Deep Learning-Based Prediction of Nepal Stock Exchange Movements from Financial News Headlines
Research Article June 18, 2026

Deep Learning-Based Prediction of Nepal Stock Exchange Movements from Financial News Headlines

Audio Signal Classification Using Deep Learning
Research Article June 19, 2026

Audio Signal Classification Using Deep Learning

Machine Learning-Driven Discovery of Novel Lithium-Based Battery Materials
Review Article June 22, 2026

Machine Learning-Driven Discovery of Novel Lithium-Based Battery Materials

Intelligent Moisture Control of Biogas in Renewable Energy Systems
Original Article June 29, 2026

Intelligent Moisture Control of Biogas in Renewable Energy Systems

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Published: June 30, 2026 (129d) publication certificate
Towards Sustainable Fisheries Management in Tunisian Reservoirs: A Stock Assessment Approach Research Article

Towards Sustainable Fisheries Management in Tunisian Reservoirs: A Stock Assessment Approach

Sami Mili*1,2Rym Ennouri3,4, Siwar Agrebi1, Tahani Chargui5 and Houcine Laouar6

Although assessing fish stocks is essential for sustainable management, quantitative, multi-species evaluations that integrate fishing effort and biological production are scarce in Tunisian reservoirs. This study provides the first comprehensive, standardised assessment of six key species (Cyprinus carpio, Chelon ramada, Luciobarbus callensis, Sander lucioperca, Scardinius erythrophthalmus, and Rutilus rubilio) across eight major reservoirs. It combines multi-mesh gillnet sampling (2013-2016) with yield-per-recruit (Y/R) modelling using VIT software and cohort analysis using FISAT II.
The results reveal a general state of under-exploitation, yet highlight significant differences between species and between reservoirs. Exploitation rates (E) ranged from severe under-exploitation of mullets (E = 0.09) to near-optimal levels of carp in Sidi Saad (E = 0.48). Although fishing mortality exceeded 60% of total mortality for barbel and pikeperch, Y/R analysis confirmed their under-exploited status. This is supported by high biomass per recruit (up to 2,769 g for barbel in Sidi Barrak) and rapid stock renewal rates (over 79% for pikeperch). Notably, estimated surplus production indicates that current landings could be substantially increased without compromising stock sustainability.
We conclude that Tunisian reservoirs have significant untapped fishery potential. However, rather than increasing effort uniformly, we recommend making targeted, site- and species-specific adjustments, coupled with reinforced monitoring of population structure and exploitation rates, in order to prevent any shift towards overfishing. This integrated diagnostic approach provides a replicable scientific baseline for the future adaptive management of North African inland fisheries.