Les concentrations de navires dans la pêcherie des senneurs de Java : étude de leur structure à travers une approche spatiale.

Potier, Michel; Elguero, Eric; Petit, Didier

doi:10.1016/s0990-7440(00)00141-8

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…In 2017, the fishing production of trawlers accounted for 41% of the total fishing production in the South China Sea, gillnetters accounted for 38% and seiners accounted for 15%. These three fishing techniques are mature and stable with a long history and have been adopted by most countries around the world, especially in Southeast Asia [35][36][37][38][39]. So, this work focuses on the identification of these three fishing vessel types.…”

Section: Sample Setmentioning

confidence: 99%

Identification of Fishing Vessel Types and Analysis of Seasonal Activities in the Northern South China Sea Based on AIS Data: A Case Study of 2018

Guan

Zhang

et al. 2021

Remote Sensing

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In recent years, concern has increased about the depletion of marine resources caused by the overexploitation of fisheries and the degradation of ecosystems. The Automatic Identification System (AIS) is a powerful tool increasingly used for monitoring marine fishing activity. In this paper, identification of the type of fishing vessel (trawlers, gillnetters and seiners) was carried out using 150 million AIS tracking points in April, June and September 2018 in the northern South China Sea (SCS). The vessels’ spatial and temporal distribution, duration of fishing time and other activity patterns were analyzed in different seasons. An identification model for fishing vessel types was developed using a Light Gradient Boosting Machine (LightGBM) approach with three categories with a total of 60 features: speed and heading, location changes, and speed and displacement in multiple states. The accuracy of this model reached 95.68%, which was higher than other advanced algorithms such as XGBoost. It was found that the activity hotspots of Chinese fishing vessels, especially trawlers, showed a tendency to move northward through the year in the northern SCS. Furthermore, Chinese fishing vessels showed low fishing intensity during the fishing moratorium months and traditional Chinese holidays. This research work indicates the value of AIS data in providing decision-making assistance for the development of fishery resources and marine safety management in the northern SCS.

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Section: Sample Setmentioning

confidence: 99%

Identification of Fishing Vessel Types and Analysis of Seasonal Activities in the Northern South China Sea Based on AIS Data: A Case Study of 2018

Guan

Zhang

et al. 2021

Remote Sensing

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“…Terdapat keterkaitan yang sangat erat antara fitoplankton, zooplankton, dan ichthyoplankton dalam suatu jaring-jaring makanan di laut (Romimohtarto et al, 1998). Potier (1988) menyatakan stok ikan pelagis sangat peka terhadap perubahan penyebaran spasial salinitas yang diakibatkan oleh angin muson. Laevastu & Hayes (1980) menyatakan perubahan suhu perairan yang sangat kecil (±0,02 0 C) dapat menyebabkan perubahan densitas populasi ikan.…”

Section: Pendahuluanunclassified

Sebaran Larva Ikan Dan Kaitannya Dengan Kondisi Oseanografi Laut Sulawesi

Amri

Mutoharoh

Ernaningsih

2015

JURNAL PENELITIAN PERIKANAN INDONESIA

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Laut Sulawesi diketahui sebagai daerah penangkapan ikan yang potensial sekaligus diduga sebagai lokasi pemijahan. Berbagai jenis larva ikan pelagis maupun demersal ditemukan di perairan ini. Kelimpahan dan sebaran larva ikan di suatu perairan sangat dipengaruhi oleh kondisi oseanografi seperti temperatur, salinitas dan sejumlah parameter lainnya termasuk ketersediaan pakan. Untuk mengetahui pengaruh parameter oseanografi terhadap kelimpahan dan sebaran spasial larva ikan di Laut Sulawesi, telah dilakukan penelitian menggunakan kapal riset KR Baruna Jaya VII pada Oktober 2012. Parameter oseanografi yaitu temperatur dan salinitas diukur menggunakan iCTD dan sampling larva menggunakan bonggo net pada 18 stasiun pengukuran. Analisa hubungan kondisi oseanografi dengan sebaran larva dilakukan secara deskriptif dan pemetaan sebarannya dilakukan secara spasial. Hasil menunjukan keterkaitan sejumlah parameter oseanografi dengan kelimpahan dan sebaran spasial larva ikan. Sebaran larva famili Scombroidae dominan berada pada perairan bersalinitas tinggi karena merupakan jenis ikan oseanik. Larva ikan demersal banyak ditemukan di perairan sekitar Kep.Sangihe Talaud. Kelimpahan larva tertinggi ditemukan di perairan bagian utara dan barat lokasi penelitian dimana kelimpahan plankton tinggi ditemukan. Celebes Sea is known as a potential fishing and spawning grounds for several pelagic fish species. Abundance and distribution of fish larvae are allegedly linked to oceanographic conditions such as temperature, salinity and others oceanographic parameters including food availablity. To see the effect of oceanographic on the abundance and spatial distribution of fish larvae in the Celebes Sea, has conducted a research in October 2012using the research vessel KR Baruna Jaya VII. The measurement of oceanographic parameters including temperature and salinity and larval sampling were done respectively by using iCTD and Bonggo net at 18 measuring stations. The analysis of data was carried out for dertemining the effect of oceanographic condition to the fish larvae distribution and distribution mapping spatially of larvae abundance. Results show that there were a connection between fish larvae abundance and spatial distribution with oceanographic parameters. Scombridae larvae distribution was dominant at waters with high salinity condition because they are oceanic. Demersal fish larvae are mostly found in waters around Sangihe-Talaud islands. Highest abundance of fish larvae was found at northern and western part of research locations where the higher plankton concentration was found.

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From subsidy evaluation to effort estimation: Advancing the function of voyage data recorders for offshore trawl fishery management

Chang

2016

Marine Policy

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Les concentrations de navires dans la pêcherie des senneurs de Java : étude de leur structure à travers une approche spatiale.

Cited by 4 publications

References 1 publication

Identification of Fishing Vessel Types and Analysis of Seasonal Activities in the Northern South China Sea Based on AIS Data: A Case Study of 2018

Identification of Fishing Vessel Types and Analysis of Seasonal Activities in the Northern South China Sea Based on AIS Data: A Case Study of 2018

Sebaran Larva Ikan Dan Kaitannya Dengan Kondisi Oseanografi Laut Sulawesi

From subsidy evaluation to effort estimation: Advancing the function of voyage data recorders for offshore trawl fishery management

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