Fishing by numbers: Empowering Muara Kintap fisheries with data-driven fishing area forecast maps

Ahmadi -; Fajrianur -; Siti Aminah

doi:10.12714/egejfas.41.4.01

EN TR

Fishing by numbers: Empowering Muara Kintap fisheries with data-driven fishing area forecast maps

Abstract

The paper aims to enhance the fishing efficiency and sustainability of Muara Kintap fishers by using data-driven Fishing Area Forecast Maps (FAFM). This study makes significant contributions to the field of fisheries management by demonstrating the effective use of satellite data for local-scale fisheries management, bridging the gap between scientific research and practical applications, as well as promoting sustainable fishing practices and improving the fishers' livelihoods. The research ingeniously combined the wisdom of local fishers captured through the Fishing Points app with cutting-edge technology. Aqua MODIS satellite imagery captured detailed Muara Kintap waters condition, revealing sea surface temperature (SST) between 28.4 °C and 29.7 °C and chlorophyll-a (Chl-a) concentrations ranging from 0.38 to 6.27 mg/m³. The results strongly indicate that the distribution of Chl-a is a more influential predictor of fish catch than SST. This discovery underscores the intricate relationship between marine parameters and fish distribution. By providing FAFM, informed by Chl-a data, the fishers were able to make data-driven decisions, optimizing catches and promoting the long-term sustainability of their livelihoods. The study's impact transcends data analysis, highlighting the importance of collaboration and knowledge sharing among researchers, fishers, and policymakers in fostering sustainable fishing practices in Muara Kintap and beyond.

Keywords

Sayılarla balıkçılık: Muara Kintap balıkçılığını veri odaklı balıkçılık alanı tahmin haritalarıyla güçlendirmek

Öz

Bu çalışma veri odaklı Balıkçılık Alanı Tahmin Haritaları (FAFM) kullanarak Muara Kintap balıkçılarının balıkçılık verimliliğini ve sürdürülebilirliğini artırmayı amaçlamaktadır. Bu çalışma, yerel ölçekli balıkçılık yönetimi için uydu verilerinin etkili kullanımını göstererek, bilimsel araştırma ile pratik uygulamalar arasındaki boşluğu kapatarak, sürdürülebilir balıkçılık uygulamalarını teşvik ederek ve balıkçıların geçim kaynaklarını iyileştirerek balıkçılık yönetimi alanına önemli katkılarda bulunmaktadır. Araştırma, Fishing Points uygulaması aracılığıyla yerel balıkçıların bilgilerini son teknoloji ile ustaca birleştirdi. Aqua MODIS uydu görüntüleri ile Muara Kintap sularının ayrıntılı durumunu izlendi ve 28,4 °C ile 29,7 °C arasında deniz yüzey sıcaklığı (SST) ve 0,38 ila 6,27 mg/m³ arasında değişen klorofil-a (Chl-a) konsantrasyonları tespit edildi. Sonuçlar, Chl-a dağılımının SST’ye göre balık avının daha etkili bir öngörücüsü olduğunu güçlü bir şekilde göstermektedir. Bu bulgu, deniz parametreleri ile balık dağılımı arasındaki karmaşık ilişkiyi vurgulamaktadır. Chl-a verileriyle bilgilendirilen FAFM sağlanmasıyla, balıkçılar veri odaklı kararlar alabildi, avları optimize edebildi ve geçim kaynaklarının uzun vadeli sürdürülebilirliğini destekleyebildi. Çalışmanın etkisi veri analizinin ötesine geçerek, Muara Kintap ve ötesinde sürdürülebilir balıkçılık uygulamalarını teşvik etmede araştırmacılar, balıkçılar ve politikacılar arasındaki iş birliğinin ve bilgi paylaşımının önemini vurgulamaktadır.

Anahtar Kelimeler

Supporting Institution

Facilitating and communicating with relevant institutions and stakeholders

Project Number

There is no specific project number for this research

Ethical Statement

Ethics Committee approval certificate is not required for this study

Thanks

We are grateful to the Head of Food Security and Fisheries Services of Tanah Laut District and the fishermen group leaders for their invaluable support during this research

References

Ayuningsih, M.S., Hendrarto, B.I., & Purnomo, P.W. (2014). Distribution of phytoplankton abundance and chlorophyll-a in Sekumbu Bay, Jepara Regency: Its relationship with nitrate and phosphate contents in waters. Management of Aquatic Resources Journal, 3(2), 138-147.
Clinton, R., Gene Astawa Karang, I.W., & Widiastuti, W. (2022). Chlorophyll-a and sea surface temperature (SST) relationship to Lemuru sardinella catches in the Bali Strait using Aqua MODIS in 2018-2019. Journal of Marine Research and Technology, 5(1), 48 56. https://doi.org/10.24843/JMRT.2022.v05.i01.p08
Darmawan, M. (2011). Geographic Information System (GIS) and Thematic Mapping Standardization. BAKOSURTANAL Jakarta. 174 p.
Ferrer, E.M., Giron-Nava, A., & Aburto-Oropeza, O. (2022). Overfishing increases the carbon footprint of seafood production from small-scale fisheries. Frontiers in Marine Science, 9(2022), 768784. https://doi.org/10.3389/fmars.2022.768784
Giron-Nava, A., Lam, V.W.Y., Aburto-Oropeza, O., Cheung, W.W.L., Halpern, B.S., Sumaila, U.R., & Cisneros-Montemayor, A.M. (2021). Sustainable fisheries are essential but not enough to ensure well-being for the world’s fishers. Fish and Fisheries, 22(4), 812-821. https://doi.org/10.1111/faf.12552
Gower, J. (1972). Opportunities and problems in satellite measurement of the distribution of phytoplankton in eutrophic coastal waters. Australian Journal of Marine Freshwater Research 189(40), 559-569.
Heck, N., Beck, M.W., Reguero, B., Pfliegner, K., Ricker, M., & Prütz, R. (2023). Global climate change risk to fisheries – A multi-risk assessment. Marine Policy, 148, 105404. https://doi.org/10.1016/j.marpol.2022.105404
Hidayah, G., Wulandari, S.Y., & Zainuri, M. (2016). Chlorophyll-a horizontal distribution study in the estuary waters of Silugonggo River, Batangan District, Pati. Marina Oceanography Bulletin, 5(1), 52-59. https://http.org/10.14710/buloma.v5i1.11296

Laevastu, T., & Hela, I. (1993). Fisheries Oceanography. Fishing News Books, London. 238 p
Marlian, N., Damar, A., & Effendi, H. (2015). Horizontal distribution of chlorophyll-a phytoplankton as an indicator of aquatic fertility in Meulaboh Bay, West Aceh. Indonesian Journal of Agricultural Sciences, 20(3), 272-279. https://doi.org/10.18343/jipi.20.3.272
Narvekar, J., Chowdhury, R.R, Gaonkar, D., Kumar, P.K.D., & Kumar, S.P. (2021). Observational evidence of stratification control of upwelling and pelagic fishery in the eastern Arabian Sea. Scientific Report, 11(7293), 1-13. https://doi.org/10.1038/s41598-021-86594-4
Natsir, M., Anggawangsa, R., & Wada, M. (2020). CPUE calculation and visualization for gillnet fishery in BIWA Lake, Japan using depth sensor, GPS position and catch data. Conference: Global Oceans 2020: Singapore U.S. Gulf Coastal. p.1 6. https://doi.org/10.1109/IEEECONF38699.2020.9389283
Nugraha, T.S., Khan, A.M.A., Pratama, R.I., & Apriliani, I.M. (2019). Analysis of relationship between oceanography parameter and fishing effort of the Spanish mackerel (Scomberomorus comerson) that landed in PPN Kejawanan Cirebon. Jurnal Perikanan dan Kelautan, 10, 17-21.
Rafi, W., Hidayat, A.S., & Agusliani, E. (2020). The Relationship between fisherman’s characteristics and perceptions on independent fishermen’s insurance in Batakan Village, Tanah Laut District of Indonesia. International Journal of Innovative Studies in Aquatic Biology and Fisheries, 6(4), 1-5. https://doi.org/10.20431/2454-7670.0604001
Rusdiana, S., Ahmadi, & Febrianty, I. (2022). The Effectiveness and the fishermen’s perception on the grant aid program in Kapuas District, Central Kalimantan Province, Indonesia. International Journal of Innovative Studies in Aquatic Biology and Fisheries. 8(1), 1-7.
Safruddin. (2013). Distribution of Layang fish (Decapterus sp.) in relation to oceanographic conditions in the waters of Pangkep District, South Sulawesi. Journal of Torani, 23(3): 150-156.
Safruddin, Zainuddin, M., & Tresnati, J. (2014). Dynamics of temperature and chlorophyll changes on Anchovy distribution (Stelophorus sp.) in Spermonde coastal waters, Pangkep. Journal of Science and Technology of Fisheries Resource Utilization, 1(1), 11- 19.
Sasmito, B., Bashit, N., Arinda, B.R., & Sukmono, A. (2022). Application of Generalized Additive Model for identification of potential fishing zones using Aqua and Terra MODIS Imagery Data. Journal of Geospatial Information, 6(1), 1-9. https://doi.org/10.30871/jagi.v6i1.3962
Shafari, E., Ahmadi, & Mahyudin, I. (2019). The effectiveness of the subsidized fuel distribution for fish carrier vessels in Banjarmasin fishing port, Indonesia. International Journal of Fisheries and Aquatic Research, 4(2), 8-14.
Stacey, N., Gibson, E., Loneragan, N.R., Warren, C., Wiryawan, B., Adhuri, D.S., Steenbergen, D.J., & Fitriana, R. (2021). Developing sustainable small-scale fisheries livelihoods in Indonesia: Trends, enabling and constraining factors, and future opportunities. Marine Policy, 132(2021), 104654. https://doi.org/10.1016/j.marpol.2021.104654
Simmance, F.A., Nico, G., Funge-Smith, S., Basurto, X., Franz, N., Teoh, S.J., Byrd, K.A., Kolding, J., Ahern, M., Cohen, P.J., Nankwenya, B., Gondwe, E., Virdin, J., Chimatiro, S., Nagoli, J., Kaunda, E., Thilsted, S.H., & Mills, D.J. (2022). Proximity to small-scale inland and coastal fisheries is associated with improved income and food security. Communication Earth and Environment, 3(1), 174. https://doi.org/10.1038/s43247-022-00496-5
Sobatnu, F., & Irawan, F.A. (2022). Aqua Modis image processing for making fishing zone maps of Kintap estuary waters, South Kalimantan. Positive: Journal of Information Systems and Technology, 8(2), 58-63. https://doi.org/10.31961/positif.v8i2.1405
Sukresno, B., & Kusuma, D.W. (2021). Development of fishing area forecast map. Journal of Fisheries and Marine Research, 5(2), 387-395.
Syarif, L.O.Y., Sarwono, S., & Hanafi, I. (2019). Implementation of fisherman insurance assistance program in South Buton Regency, Southeast Sulawesi Province. Wacana, 22(3), 156-165.
Virdin, J., Basurto, X., Nico, G., Harper, S., Mancha-Cisneros, D.M., Vannuccini, S., Ahern, M., Anderson, C.M., Funge-Smith, S., Gutierrez, N.L., Mills, D.J., & Franz, N. (2023). Fishing for subsistence constitutes a livelihood safety net for populations dependent on aquatic foods around the world. Nature Food, 4(10), 874-885. https://doi.org/10.1038/s43016-023-00844-4
Yen, K.W., & Chen, C.H. (2021). Research gap analysis of Remote Sensing application in fisheries: Prospects for achieving the sustainable development goals. Remote Sensing, 13(5), 1013. https://doi.org/10.3390/rs13051013

Details

Primary Language

English

Subjects

Fisheries Technologies

Journal Section

Research Article

Authors

Ahmadi - ^*
0000-0001-9691-9107
Indonesia

Fajrianur -
0009-0004-6873-6935
Indonesia

Siti Aminah
0009-0007-6231-6018
Indonesia

Early Pub Date

December 9, 2024

Publication Date

December 11, 2024

Submission Date

April 21, 2024

Acceptance Date

September 7, 2024

Published in Issue

Year 2024 Volume: 41 Number: 4

DOI

https://doi.org/10.12714/egejfas.41.4.01

IZ

https://izlik.org/JA35TX99SG

Cite

RIS / Bibtex

APA

-, A., -, F., & Aminah, S. (2024). Fishing by numbers: Empowering Muara Kintap fisheries with data-driven fishing area forecast maps. Ege Journal of Fisheries and Aquatic Sciences, 41(4), 252-260. https://doi.org/10.12714/egejfas.41.4.01