Satellite observed oceanographic drivers of Mobulidae fisheries catch in the Southeast Indian Ocean
Indonesian coastal waters include several marine megafauna biodiversity hotspots. Several fish populations of ecological and socio-economic importance, such as elasmobranchs (sharks and rays), have experienced rapid decline due to unsustainable human activities, primarily overfishing. Small-scale fisheries (SSF) are currently exempt from governmental fisheries management measures despite contributing a significant proportion of a total catch. The Generalised Additive Models were used to investigate the effect of variations in oceanographic parameters of the Teluk Penyu fishing ground, south of central Java, on the magnitude of Mobulidae ( Mobula spp.) catch based on its landings data over ten years (2009–2018) from one of Indonesia's largest ports, Cilacap, Central Java, Indonesia. Mobulidae catch from Teluk Penyu fishing ground was generally higher from June to November when the water exhibited relatively high sea surface salinity (sal >34.1 ‰), chlorophyll (0.32–0.45 mg/m 3 ), and nitrate (nit >0.0045 mg NO 3 /m 3 ), water speed (>0.29 m/s) and eddy kinetic energy (>0.04 m 3 /s 2 ) levels, and relatively low sea surface temperature (<28 °C), oxygen (<0.182 mg O 2 /m 3 ) and sea surface height (<0.9 m) levels than the other months of the year. This study reveals that satellite Earth Observation (EO) data provided a preliminary relationship between oceanographic conditions and the amount of catch for developing more effective management and conservation measures for endangered species like Mobulidae. Utilizing EO data may also be applied to help inform much-needed ecosystem-based management measures, including habitat protection and bycatch reduction for conserving endangered Mobulidae species in the Southeast Indian Ocean. The in-situ onboard ocean observation and temporal species-specific catch data will greatly complement the current work. • We examine the oceanographic conditions from satellite drivers the mobulidae catches in the southeast Indian Ocean off Java Indonesia. • Landings data for mobulidae derived from fishing port authority in Cilacap, Central Java, Indonesia. • Generalised Additive Models (GAMs) were used to investigate the relationship between Mobulidae landings (response variable) and the oceanographic parameters (predictor variables).
Authors
- Per Berggren (ORCID: https://orcid.org/0000-0001-8204-7256)
- Ankiq Taofiqurohman (ORCID: https://orcid.org/0000-0002-4722-6213)
- Alexander M. A. Khan (ORCID: https://orcid.org/0000-0002-4275-1529)
- Mochamad Rudyansyah Ismail (ORCID: https://orcid.org/0000-0001-5765-3027)
- Lantun Paradhita Dewanti (ORCID: https://orcid.org/0000-0001-9437-2873)
- Ellen Barrowclift (ORCID: https://orcid.org/0000-0003-0625-0919)
- Gi Hoon Hong (ORCID: https://orcid.org/0000-0001-5990-4408)
- Buntora Pasaribu (ORCID: https://orcid.org/0000-0002-9639-1506)
- Yi Xu (ORCID: https://orcid.org/0000-0002-3936-216X)
- Noir P. Purba (ORCID: https://orcid.org/0000-0003-0812-9629)
Institutions
- East China Normal University (CN)
- Newcastle University (GB)
- Padjadjaran University (ID)
Publication Details
- Journal
- Journal of Sea Research
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.seares.2024.102534
- Citations
- 2
- Primary Topic
- Coral and Marine Ecosystems Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.92
Funders
- Sight Research UK
- East China Normal University
- Universitas Padjadjaran
- Natural Environment Research Council