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Updated: Feb 1, 2026

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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Developing a frame of reference for fisheries management and conservation interventions
Annabelle Jade Bladon1, Essam Yassin Mohammed2, Liaquat Ali3
1Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire, UK.
Summary
Effective fisheries management, especially in data-poor situations, requires understanding historical context and likely outcomes without intervention. This study develops a
Area of Science:
- Fisheries Science
- Ecology
- Socio-economics
Background:
- Fisheries management interventions often face challenges due to uncertainty, particularly in small-scale and developing nations.
- Evaluating intervention effectiveness necessitates understanding the historical, socio-ecological context, including baseline status and counterfactual scenarios.
Purpose of the Study:
- To develop a 'frame of reference' for fisheries management in data-poor environments.
- To demonstrate a method for creating a baseline and qualitative counterfactual for effective decision-making.
- To guide management planning by identifying key uncertainties and information needs.
Main Methods:
- Qualitative and quantitative analyses of secondary datasets for the Bangladesh hilsa (Tenualosa ilisha) fishery.
- Exploration of ecological trends and socio-economic, institutional, and physical changes over ~50 years.
- Compilation of data on hilsa abundance, distribution, and stock status to inform baseline and counterfactual development.
Main Results:
- A systematic approach to understanding drivers of change and their interactions in fisheries was developed.
- A qualitative counterfactual for the hilsa fishery was constructed, aiding in decision-making.
- Key areas of uncertainty and information needs for fisheries management were identified.
Conclusions:
- A 'frame of reference' approach can reduce unexpected management outcomes by systematically analyzing potential drivers of change.
- This method provides a structured way to incorporate uncertainty and information needs into fisheries management planning.
- The case study of the hilsa fishery demonstrates the utility of this approach in data-poor contexts.
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