The Ecological Niches and Interspecific Associations of the Dominant Fishes in the Xiamen Seas, China

Fish are vital in enhancing the stability of marine ecosystems. Therefore, understanding the ecological niches and interspecific correlation characteristics of their dominant species provides a good scientific basis for the protection and management of marine biodiversity. In this study, on the basis of survey data from trawls conducted in the waters off Xiamen in the spring (April) and autumn (November) of 2021, the ecotopes and interspecies connectivity of the dominant fish species were investigated using the relative importance index (IRI), χ2 tests, the association coefficient (AC), and Pearson and Spearman analyses. According to the IRI, there were 23 fish species with higher values, including 15 species in spring and 15 species in autumn. The 15 dominant fish species could be subdivided into wide-, medium-, and narrow-ecotope species, of which there were 2 and 3 wide-ecotope types in spring and autumn. The niche overlap indices exhibited a range of 0.000–0.809 in the spring and 0.000–0.915 in the autumn, showing small differences between the two seasons. The interspecific correlations between the dominant fishes in Xiamen’s waters in spring and autumn were weak, and both showed non-significant positive correlations, indicating that the correlations between the dominant fishes in this sea area are relatively independent. The findings of this investigation provide a fundamental database and theoretical framework for researching the adaptive mechanisms of marine fish in the Xiamen Seas.

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Publication Details

Journal
Fishes
Published
2024-09-10
DOI
https://doi.org/10.3390/fishes9090354
Citations
3
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
0.85
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article

The Ecological Niches and Interspecific Associations of the Dominant Fishes in the Xiamen Seas, China

Yonghe Chen, Jia-Yue Yu, Hao-Qi Xu, Liangmin Huang et al.
3 citations
Fishes
Marine and fisheries research
0.85
article

The Ecological Niches and Interspecific Associations of the Dominant Fishes in the Xiamen Seas, China

Yonghe Chen, Jia-Yue Yu, Hao-Qi Xu, Liangmin Huang, Ta-Jen Chu, Jiaqiao Wang, Jian-Di Cai, Jun Li, Fenfen Ji
article en
3 citations

Abstract

Fish are vital in enhancing the stability of marine ecosystems. Therefore, understanding the ecological niches and interspecific correlation characteristics of their dominant species provides a good scientific basis for the protection and management of marine biodiversity. In this study, on the basis of survey data from trawls conducted in the waters off Xiamen in the spring (April) and autumn (November) of 2021, the ecotopes and interspecies connectivity of the dominant fish species were investigated using the relative importance index (IRI), χ2 tests, the association coefficient (AC), and Pearson and Spearman analyses. According to the IRI, there were 23 fish species with higher values, including 15 species in spring and 15 species in autumn. The 15 dominant fish species could be subdivided into wide-, medium-, and narrow-ecotope species, of which there were 2 and 3 wide-ecotope types in spring and autumn. The niche overlap indices exhibited a range of 0.000–0.809 in the spring and 0.000–0.915 in the autumn, showing small differences between the two seasons. The interspecific correlations between the dominant fishes in Xiamen’s waters in spring and autumn were weak, and both showed non-significant positive correlations, indicating that the correlations between the dominant fishes in this sea area are relatively independent. The findings of this investigation provide a fundamental database and theoretical framework for researching the adaptive mechanisms of marine fish in the Xiamen Seas.

FishesVol. 9(9)
Jimei University (CN), Fujian Fisheries Research Institute (CN)
Openalex Percentile: Top 28%
Marine and fisheries research
0.85
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The Ecological Niches and Interspecific Associations of the Dominant Fishes in the Xiamen Seas, China — Yonghe Chen, Jia-Yue Yu, et al. · Fishes (2024) | TGRS Research Map | TGRS