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Universitas Hasanuddin
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Spatial analysis of oceanographic anomaly parameters and the relationship to anchovy abundance in the western Banda Sea, Indonesia

Yuniar A.

Bio Web of Conferences

Published: 2025

Abstract

This study analyzes the relationship between anomalies in oceanographic parameters—sea surface temperature (SST), chlorophyll-a, and sea surface height (SSH)—with anchovies ( Stolephorus spp.) abundance in the western of Banda Sea, Indonesia. MODIS satellite data was used to obtain information on oceanographic parameters during the period 2009–2021, which was analyzed spatially using ArcGIS software. The results showed that the SST anomaly experienced the most significant fluctuations, with positive peaks in June and October. A negative correlation was found between SST and anchovy catches, suggesting that this species tends to avoid areas with higher-than-normal surface temperatures. Meanwhile, although the statistical correlation between chlorophyll-a and SSH with catches is relatively low, spatial analysis indicates anchovies’ preference for areas with higher primary productivity and stable sea-surface conditions. This research reveals the importance of understanding regional oceanographic dynamics in supporting sustainable fisheries management, especially in the context of the influence of global climate variability such as ENSO on tropical marine ecosystems.

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AnchovySciences
Sea surface temperatureSciences
Anomaly (physics)Sciences
Context (archaeology)Sciences
ClimatologySciences
Abundance (ecology)Sciences
OceanographySciences
Environmental scienceSciences
Sea-surface heightSciences
Spatial ecologySciences
Climate changeSciences
GeographySciences
El Niño Southern OscillationSciences
GeologySciences
UpwellingSciences
Spatial variabilitySciences
Statistical analysisSciences
Spatial distributionSciences
Ocean currentSciences
La NiñaSciences
FisherySciences
ProductivitySciences
EcosystemSciences
Temporal scalesSciences
Period (music)Sciences
SatelliteSciences
Correlation coefficientSciences
Marine ecosystemSciences