Mental models of aquaculture governance in Indonesia DOI Creative Commons
Ben Nagel, Eva Anggraini, Nurliah Buhari

et al.

Sustainability Science, Journal Year: 2024, Volume and Issue: 19(6), P. 1825 - 1845

Published: Aug. 16, 2024

Abstract Aquaculture stakeholders have mental models, which are the internal cognitive representations of how they understand and prioritize different features their aquaculture systems. Individuals stakeholder groups likely to with implications for making cooperative governance work guiding rapidly emerging sector’s sustainable development. We apply a participatory approach called fuzzy mapping capture compare models community-based coastal pond in Indonesia, including farmers, government managers, researchers who need together govern expanding sector faces critical sustainability challenges. To conceptually structure our comparison, we use Elinor Ostrom’s social–ecological systems framework. Our results highlight important differences between group represent potential conflicts interest barriers collaborative governance. Fish farmer emphasize resource system challenges relating production instability risk, while managers increasing intensity meet sectoral growth targets. Researchers, contrast, tend focus on waste treatment water quality management. Governance attributes were consistently perceived as less frequent influential compared other dimensions, reflecting perceptions weak sector. identify programs aimed at strengthening community-level institutional arrangements governing shared resources, technical knowledge capacity, managing financial risk. By merging all into single “community” model, key consensus action situations across three focal points development may serve starting point actors context-appropriate solutions these

Language: Английский

Sustainable Intensification of Small-Scale Aquaculture Systems Depends on the Local Context and Characteristics of Producers DOI
Sonja Radosavljevic, Ezio Venturino, Francesca Acotto

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
A benchmark dataset and ensemble YOLO method for enhanced underwater fish detection DOI Creative Commons

Vijayalakshmi Mohankumar,

Sasithradevi Anbalagan

ETRI Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Abstract Fish monitoring is crucial for the aquaculture industry as it addresses economic losses and productivity challenges. Existing manual fish detecting methods are difficult time consuming, limiting their application in real‐time monitoring. To alleviate this challenge, there growing interest intelligent systems vision‐based health analysis. In study, we introduce DePondFi, a novel dataset designed various computer vision tasks underwater pond environments. The comprises images from different habitats South Indian ponds, with corresponding bounding box annotations. Our experiments analyze characteristics of evaluate performance single‐stage object detection models. YOLOv8 demonstrates highest effectiveness, achieving mean average precision (mAP@50) 0.92. By aggregating predictions applying non‐maximum suppression, our ensemble method improves robustness compared to individual models, an mAP@50 0.94. DePondFi serves valuable benchmark domain

Language: Английский

Citations

0
Understanding water governance based on the social-ecological system framework integrating stakeholder perspective: A case study of aquaculture pollution governance in Taihu Lake, China DOI Creative Commons
Liting Xu, Shuang Chen, Zheng Guo

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107951 - 107951

Published: April 22, 2025

Language: Английский

Citations

0
Archetypes of aquaculture development across 150 countries DOI Creative Commons
Stefan Partelow, Ben Nagel, Rebecca R. Gentry

et al.

Aquaculture, Journal Year: 2024, Volume and Issue: 595, P. 741484 - 741484

Published: Aug. 14, 2024

Language: Английский

Citations

3
Mental models of aquaculture governance in Indonesia DOI Creative Commons
Ben Nagel, Eva Anggraini, Nurliah Buhari

et al.

Sustainability Science, Journal Year: 2024, Volume and Issue: 19(6), P. 1825 - 1845

Published: Aug. 16, 2024

Abstract Aquaculture stakeholders have mental models, which are the internal cognitive representations of how they understand and prioritize different features their aquaculture systems. Individuals stakeholder groups likely to with implications for making cooperative governance work guiding rapidly emerging sector’s sustainable development. We apply a participatory approach called fuzzy mapping capture compare models community-based coastal pond in Indonesia, including farmers, government managers, researchers who need together govern expanding sector faces critical sustainability challenges. To conceptually structure our comparison, we use Elinor Ostrom’s social–ecological systems framework. Our results highlight important differences between group represent potential conflicts interest barriers collaborative governance. Fish farmer emphasize resource system challenges relating production instability risk, while managers increasing intensity meet sectoral growth targets. Researchers, contrast, tend focus on waste treatment water quality management. Governance attributes were consistently perceived as less frequent influential compared other dimensions, reflecting perceptions weak sector. identify programs aimed at strengthening community-level institutional arrangements governing shared resources, technical knowledge capacity, managing financial risk. By merging all into single “community” model, key consensus action situations across three focal points development may serve starting point actors context-appropriate solutions these

Language: Английский

Citations

0