Despite decades of investment in monitoring, control, and surveillance (MCS), Indonesia's commercial fisheries management remains hindered by weak integration of monitoring outputs into policy processes. Persistent expansion of commercial fleets—both domestically and into transboundary waters—reflects systemic gaps in governance, compounded by fragmented and inconsistent fisheries data. This study applies a rapid assessment framework that combines community‐based knowledge, vessel monitoring technologies, and secondary data sources. Analytical methods include social–ecological network analysis, principal component analysis, self‐organizing maps, and geographic information systems (GIS), with spatial data overlays used to qualitatively infer decision‐making opportunities. The findings reveal pronounced differentiation between industrial‐oriented and community‐based fisheries, alongside a gradual, unregulated shift of traditional fishers into commercial operations. Scientific research uptake remains limited, and socio‐economic disparities between capital owners and fishing crews persist. Current management priorities are disproportionately focused on small‐scale fisheries, while the industrial‐commercial sector operates with minimal strategic oversight. Moreover, policy approaches tend to apply uniform regulations across disparate fishery types, undermining adaptive responses. We propose the establishment of a specialized governance authority for integrated, scale‐sensitive management of both industrial‐commercial and community‐based fisheries, underpinned by adaptive, evidence‐driven, and socially inclusive policy frameworks.
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Aprian et al. (2025) studied this question.
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