Simulating Habitat Suitability Changes of Threadfin Porgy (Evynnis cardinalis) in the Northern South China Sea Using Ensemble Models Under Medium-to-Long-Term Future Climate Scenarios

The impact of global warming on fish distribution is a key factor in fishery management and sustainable development. However, limited knowledge exists regarding the influence of environmental factors on the distribution of <i>Evynnis cardinalis</i> under climate change. This study addresses this gap by predicting the species distribution under current conditions and three future climate scenarios (SSP126, SSP370, and SSP585) using five individual models and four ensemble models. The results demonstrate that the ensemble models outperform the single models, with majority voting (EMca) achieving the highest accuracy (ROC = 0.97, TSS = 0.85). Bathymetry (BM) and the sea surface height (SSH) are the primary factors influencing the distribution. The predictions indicate that the currently suitable habitats of <i>E. cardinalis</i> are primarily located in the Beibu Gulf region of the northern South China Sea. Under future climate scenarios, suitable habitat areas are expected to expand to higher latitudes and deeper waters, though highly suitable habitats in the western Guangdong coastal waters, western Beibu Gulf, and southwestern offshore waters of Hainan Island will significantly decrease.

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Publication Details

Journal
Biology
Published
2025-02-26
DOI
https://doi.org/10.3390/biology14030236
Citations
2
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
3.68

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article

Simulating Habitat Suitability Changes of Threadfin Porgy (Evynnis cardinalis) in the Northern South China Sea Using Ensemble Models Under Medium-to-Long-Term Future Climate Scenarios

Zuozhi Chen, Jiajun Li, Kui Zhang, Yancong Cai et al.
2 citations
Biology
Species Distribution and Climate Change
3.68
article

Simulating Habitat Suitability Changes of Threadfin Porgy (Evynnis cardinalis) in the Northern South China Sea Using Ensemble Models Under Medium-to-Long-Term Future Climate Scenarios

Zuozhi Chen, Jiajun Li, Kui Zhang, Yancong Cai, Youwei Xu, Shannan Xu, Junyi Zhang
article en
2 citations

Abstract

The impact of global warming on fish distribution is a key factor in fishery management and sustainable development. However, limited knowledge exists regarding the influence of environmental factors on the distribution of <i>Evynnis cardinalis</i> under climate change. This study addresses this gap by predicting the species distribution under current conditions and three future climate scenarios (SSP126, SSP370, and SSP585) using five individual models and four ensemble models. The results demonstrate that the ensemble models outperform the single models, with majority voting (EMca) achieving the highest accuracy (ROC = 0.97, TSS = 0.85). Bathymetry (BM) and the sea surface height (SSH) are the primary factors influencing the distribution. The predictions indicate that the currently suitable habitats of <i>E. cardinalis</i> are primarily located in the Beibu Gulf region of the northern South China Sea. Under future climate scenarios, suitable habitat areas are expected to expand to higher latitudes and deeper waters, though highly suitable habitats in the western Guangdong coastal waters, western Beibu Gulf, and southwestern offshore waters of Hainan Island will significantly decrease.

BiologyVol. 14(3)
Ministry of Agriculture and Rural Affairs (CN), Chinese Academy of Fishery Sciences (CN)
National Natural Science Foundation of China, Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences
Openalex Percentile: Top 9%
Species Distribution and Climate Change
3.68
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