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

Destekleyen Kurum

Facilitating and communicating with relevant institutions and stakeholders

Proje Numarası

There is no specific project number for this research

Etik Beyan

Ethics Committee approval certificate is not required for this study

Teşekkür

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

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Su Ürünleri Teknolojileri

Bölüm

Araştırma Makalesi

Yazarlar

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

Fajrianur -
0009-0004-6873-6935
Indonesia

Siti Aminah
0009-0007-6231-6018
Indonesia

Erken Görünüm Tarihi

9 Aralık 2024

Yayımlanma Tarihi

11 Aralık 2024

Gönderilme Tarihi

21 Nisan 2024

Kabul Tarihi

7 Eylül 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 41 Sayı: 4

DOI

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

IZ

https://izlik.org/JA35TX99SG

Kaynak Göster

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