Reimagining habitat suitability modeling for Pacific saury (Cololabis saira) in the Northwest Pacific Ocean through acoustic data analysis from fishing vessels

The Pacific saury ( Cololabis saira ) in the Northwest Pacific Ocean holds significant economic value. Understanding the relationship between its distribution and habitat is crucial for ecosystem-based fishery management. Acoustic data from fishing vessels provide a new option for describing the relative abundance of Pacific saury. We transformed opportunity acoustic data collected from Pacific saury fishing vessel during the summer fishing season of 2021 into an acoustic index that is suitable for habitat modeling. The acoustic index was used to develop a habitat suitability index (HSI) model. Meanwhile, generalized additive models were applied to select environmental variables for modeling, and boosting regression tree-weighted analyses were employed to determine the weights of these variables. Instead of traditional fishing effort or catch per unit effort (CPUE) based HSI models, this acoustic index-based model offered an innovative approach with immutable evidence for establishing the relationship between sea surface temperature (SST, °C), sea surface temperature gradient (SSTG, °C/°), sea surface height (SSH, m), and chlorophyll a concentration (Chl, mg/m 3 ) with suitable habitats. The validity of the acoustic index in HSI modeling was tested with the catch data. This study showed that SSH had the most important impact on acoustical relative abundance, followed by SST, Chl and SSTG. The suitability index model determined the optimal habitat ranges for the four environmental variables. Cross-validation results indicated that the HSI model developed using the arithmetic mean method can better predict the distribution of suitable habitats than the geometric mean method. The HSI results matched the catch distribution well. This study contributes to further exploration of the marine variables' impact on suitable fish habitats based on acoustic indices and provides scientific references for ecosystem-based fishery management. • Acoustic data from fishing vessels was used for habitat modeling of Pacific saury. • Sea surface height had the most important impact on acoustical relative abundance of Pacific saury. • Most of catches occurred in areas with higher habitat suitability index value. • Acoustic index-based model offered a fresh perspective for establishing a connection between marine factors and habitats.

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Publication Details

Journal
Ecological Informatics
Published
2024-12-21
DOI
https://doi.org/10.1016/j.ecoinf.2024.102971
Citations
10
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
2.83
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article

Reimagining habitat suitability modeling for Pacific saury (Cololabis saira) in the Northwest Pacific Ocean through acoustic data analysis from fishing vessels

Wen Ma, Jianfeng Tong, Minghua Xue, Weiqi Wang et al.
10 citations
Ecological Informatics
Marine and fisheries research
2.83
article

Reimagining habitat suitability modeling for Pacific saury (Cololabis saira) in the Northwest Pacific Ocean through acoustic data analysis from fishing vessels

Wen Ma, Jianfeng Tong, Minghua Xue, Weiqi Wang, Zhenhong Zhu, Shuo Lyu, Xinjun Chen
article en
10 citations

Abstract

The Pacific saury ( Cololabis saira ) in the Northwest Pacific Ocean holds significant economic value. Understanding the relationship between its distribution and habitat is crucial for ecosystem-based fishery management. Acoustic data from fishing vessels provide a new option for describing the relative abundance of Pacific saury. We transformed opportunity acoustic data collected from Pacific saury fishing vessel during the summer fishing season of 2021 into an acoustic index that is suitable for habitat modeling. The acoustic index was used to develop a habitat suitability index (HSI) model. Meanwhile, generalized additive models were applied to select environmental variables for modeling, and boosting regression tree-weighted analyses were employed to determine the weights of these variables. Instead of traditional fishing effort or catch per unit effort (CPUE) based HSI models, this acoustic index-based model offered an innovative approach with immutable evidence for establishing the relationship between sea surface temperature (SST, °C), sea surface temperature gradient (SSTG, °C/°), sea surface height (SSH, m), and chlorophyll a concentration (Chl, mg/m 3 ) with suitable habitats. The validity of the acoustic index in HSI modeling was tested with the catch data. This study showed that SSH had the most important impact on acoustical relative abundance, followed by SST, Chl and SSTG. The suitability index model determined the optimal habitat ranges for the four environmental variables. Cross-validation results indicated that the HSI model developed using the arithmetic mean method can better predict the distribution of suitable habitats than the geometric mean method. The HSI results matched the catch distribution well. This study contributes to further exploration of the marine variables' impact on suitable fish habitats based on acoustic indices and provides scientific references for ecosystem-based fishery management. • Acoustic data from fishing vessels was used for habitat modeling of Pacific saury. • Sea surface height had the most important impact on acoustical relative abundance of Pacific saury. • Most of catches occurred in areas with higher habitat suitability index value. • Acoustic index-based model offered a fresh perspective for establishing a connection between marine factors and habitats.

Ecological InformaticsVol. 85
Xiamen University (CN), Shanghai Ocean University (CN)
Life below water
Openalex Percentile: Top 9%
Marine and fisheries research
2.83
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