Social-ecological system network connectivity model on potential areas of other effective area-based conservation measures for fisheries in Kolono Bay

This study aims to map the components of the social-ecological system (SES) in Kolono Bay based on the criteria of Other Effective Area-based Conservation Measures (OECM) Fisheries and identify key connectivity in its management. The approach used is SES with the Russian Doll framework, and social-ecological network analysis using RStudio. The results of field research and literature review indicate that area-based fisheries management in Kolono Bay meets the four criteria of Fisheries OECM, so this area has the potential to become a Fisheries OECM area. A total of 46 SES elements were successfully identified and classified into four main categories, namely resources systems, resources units, resources actors, and resources governance. Network analysis revealed that the Fisheries Area Access Management (PAAP) node had the highest degree centrality value (14), indicating its central role in the network. The correlation between centrality values also showed a strong and significant relationship (r = 0.77). The connectivity model shows that the existence of PAAP greatly influences fishing activities, monitoring and wellbeing of fisher in the potential Fisheries OECM area of Kolono Bay. These findings emphasize the importance of strengthening the role of PAAP in sustainable fisheries management in Kolono Bay.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-12
DOI
https://doi.org/10.1051/bioconf/202518809004/pdf
Primary Topic
Marine and Coastal Ecosystems
Type
article
Field-Weighted Citation Impact
0.00
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article

Social-ecological system network connectivity model on potential areas of other effective area-based conservation measures for fisheries in Kolono Bay

Nurul Auliyah, Rahmat Kurnia, Luky Adrianto, Zairion et al.
Springer Link (Chiba Institute of Technology)
Marine and Coastal Ecosystems
article

Social-ecological system network connectivity model on potential areas of other effective area-based conservation measures for fisheries in Kolono Bay

Nurul Auliyah, Rahmat Kurnia, Luky Adrianto, Zairion, Mohammad Mukhlis Kamal
article en

Abstract

This study aims to map the components of the social-ecological system (SES) in Kolono Bay based on the criteria of Other Effective Area-based Conservation Measures (OECM) Fisheries and identify key connectivity in its management. The approach used is SES with the Russian Doll framework, and social-ecological network analysis using RStudio. The results of field research and literature review indicate that area-based fisheries management in Kolono Bay meets the four criteria of Fisheries OECM, so this area has the potential to become a Fisheries OECM area. A total of 46 SES elements were successfully identified and classified into four main categories, namely resources systems, resources units, resources actors, and resources governance. Network analysis revealed that the Fisheries Area Access Management (PAAP) node had the highest degree centrality value (14), indicating its central role in the network. The correlation between centrality values also showed a strong and significant relationship (r = 0.77). The connectivity model shows that the existence of PAAP greatly influences fishing activities, monitoring and wellbeing of fisher in the potential Fisheries OECM area of Kolono Bay. These findings emphasize the importance of strengthening the role of PAAP in sustainable fisheries management in Kolono Bay.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 24%
Marine and Coastal Ecosystems
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