Fishing Area Prediction Using Scene-Based Ensemble Models

Author:

Alfatinah Adillah1,Chu Hone-Jay1ORCID,Tatas 12ORCID,Patra Sumriti Ranjan1ORCID

Affiliation:

1. Department of Geomatics, National Cheng Kung University, Tainan City 701401, Taiwan

2. Civil Infrastructure Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

Abstract

This study utilized Chlorophyll-a, sea surface temperature (SST), and sea surface height (SSH) as the environmental variables to identify skipjack tuna catch hotspots. This study conducted statistical methods (decision tree, DT, and generalized linear model, GLM) as ensemble models that were employed for predicting skipjack area for each time slice. Using spatial historical data, each model was trained for one of the ensemble model sets. For prediction, the correlations of historical and new inputs were applied to select the predictive model. Using the scene-based model with the highest input correlation, this study further identified the fishing area of skipjack tuna in every case whether the alterations in their environment affected their abundance or not. Overall, the performance achieved over 83% for correlation coefficients (CC) based on the accuracy assessment. This study concluded that DT appears to perform better than GLM in predicting skipjack tuna fishing areas. Moreover, the most influential environmental variable in model construction was sea surface temperature (SST), indicating that the presence of skipjack tuna was primarily influenced by regional temperature.

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference42 articles.

1. Galland, G., Rogers, A., and Nickson, A. (2020, July 10). Netting billions: A Global Valuation of Tuna. The Pew Charitable Trusts. Available online: http://hdl.handle.net/1957/60217.

2. Nutritional Composition of Skipjack Tuna (Katsuwonus pelamis) Caught from the Oceanic Waters around Sri Lanka;Mahaliyana;Am. J. Food Nutr.,2015

3. Miyake, M.P., Guillotreau, P., Sun, C.-H., and Ishimura, G. (2010). Recent Developments in the Tuna Industry, FAO.

4. Towards a fishing pressure prediction system for a western Pacific EEZ;Cimino;Sci. Rep.,2019

5. Indian Ocean Tuna Commission (2005). Executive Summary of The Status of The Skipjack Tuna Resource, Indian Ocean Tuna Commission.

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