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Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

The effect of environmental conditions on seasonal and inter-annual abundance of two species in the Yangtze River estuary

Richard Kindong https://orcid.org/0000-0002-7793-3402 A , Jinhui Chen B , Libin Dai A , Chunxia Gao A , Dongyan Han A , Siquan Tian https://orcid.org/0000-0003-4768-9477 A C , Jianhui Wu B , Qiuyun Ma A and Jianye Tang A
+ Author Affiliations
- Author Affiliations

A College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.

B Shanghai Aquatic Wildlife Conservation Research Center, Shanghai 200003, China.

C Corresponding author. Email: sqtian@shou.edu.cn; kindong_richard@yahoo.com

Marine and Freshwater Research 72(4) 493-506 https://doi.org/10.1071/MF19272
Submitted: 13 August 2019  Accepted: 6 August 2020   Published: 20 January 2021

Abstract

It is important in fisheries management to evaluate the effects of environmental factors on changes in the abundance of species, particularly those inhabiting estuaries. The Yangtze River estuary is the largest in the western Pacific Ocean and serves as a spawning, feeding and nursery ground to species of economic and ecological importance, such as Collichthys lucidus and Lophiogobius ocellicauda. By using 3 years of environmental variables and data on the abundance of C. lucidus and L. ocellicauda gathered seasonally through trawl surveys, we compared four generalised additive models (GAMs), each comprising different spline terms, to analyse the influence of the measured variables on the abundance of both species. Deviance explained, Akaike information criterion and generalised cross-validation were used to select the optimal GAM after evaluating the fit and predictive performance of the models. Generalised additive model (GAM) with spline ‘te’ was the optimal model, and predicted that the abundance of both species was influenced by season and by variables temperature, salinity and chlorophyll-a concentration. For C. lucidus, abundance increased during spring and summer, and, for L. ocellicauda, it was higher during winter. Given the socioeconomic importance of both species, we contend that determining the drivers causing abundance fluctuations of estuarine species can support the putting in place of robust monitoring and assessment plans for such fisheries.

Keywords: Collichthys lucidus, estuarine ecosystem, GAM, Lophiogobius ocellicauda, temporal variation.


References

Aertsen, W., Kint, V., van Orshoven, J., Özkan, K., and Muys, B. (2010). Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forest. Ecological Modelling 221, 1119–1130.
Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forest.Crossref | GoogleScholarGoogle Scholar |

Barletta, M., Barletta-Bergan, A., Saint-Paul, U., and Hubold, G. (2005). The role of salinity in structuring the fish assemblages in a tropical estuary. Journal of Fish Biology 66, 45–72.
The role of salinity in structuring the fish assemblages in a tropical estuary.Crossref | GoogleScholarGoogle Scholar |

Barletta, M., Cysneiros, F. J. A., and Lima, A. R. A. (2016). Effects of dredging operations on the demersal fish fauna of a South American tropical–subtropical transition estuary. Journal of Fish Biology 89, 890–920.
Effects of dredging operations on the demersal fish fauna of a South American tropical–subtropical transition estuary.Crossref | GoogleScholarGoogle Scholar | 27241214PubMed |

BFFAMA (Bureau of Fisheries and Fishery Administration of Ministry of Agriculture) (2018). ‘China Fishery Statistical Yearbook.’ (China Agriculture Press: Beijing, China.)

Cao, W. X., Chang, J. B., Qiao, Y., and Duan, Z. H. (2007). ‘Fish Resources of Early Life History Stages in Yangtze River.’ pp. 69–183. (China Water Power Press: Beijing, China.) [in Chinese]

Diankha, O., Ba, A., Brehmer, P., Brochier, T., Sow, B. A., Thiaw, M., Gaye, A. T., Ngom, F., and Demarcq, H. (2018). Contrasted optimal environmental windows for both sardinella species in Senegalese waters. Fisheries Oceanography 27, 351–365.
Contrasted optimal environmental windows for both sardinella species in Senegalese waters.Crossref | GoogleScholarGoogle Scholar |

Dormann, C. F., McPherson, J. M., Araújo, M. B., Bivand, R., Bolliger, J., Carl, G., Davies, R. G., Hirzel, A., Jetz, W., Kissling, W. D., Kühn, I., Ohlemüller, R., Peres-Neto, P. R., Reineking, B., Schröder, B., Schurr, F. M., and Wilson, R. (2007). Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30, 609–628.
Methods to account for spatial autocorrelation in the analysis of species distributional data: a review.Crossref | GoogleScholarGoogle Scholar |

Du, J. L., Yang, S. L., and Feng, H. (2016). Recent human impacts on the morphological evolution of the Yangtze River delta foreland: a review and new perspectives. Estuarine, Coastal and Shelf Science 181, 160–169.
Recent human impacts on the morphological evolution of the Yangtze River delta foreland: a review and new perspectives.Crossref | GoogleScholarGoogle Scholar |

Elliot, M., and Hemingway, K. L. (2002). ‘Fishes in Estuaries.’ 2nd edn. (Blackwell Science: Oxford, UK.)

França, S., and Cabral, H. N. (2015). Predicting fish species richness in estuaries: which modelling technique to use? Environmental Modelling & Software 66, 17–26.
Predicting fish species richness in estuaries: which modelling technique to use?Crossref | GoogleScholarGoogle Scholar |

Froese, R., and Pauly, D. (Eds) (2019). FishBase. Available at www.fishbase.se [verified April 2019].

Gao, L., Cheng, F., Song, Y. Q., Jiang, W., Feng, G. P., Luo, Y. M., and Xie, S. G. (2018). Patterns of larval fish assemblages along the direction of freshwater input within the southern branch of the Yangtze Estuary, China: implications for conservation. Journal of Freshwater Ecology 33, 97–114.
Patterns of larval fish assemblages along the direction of freshwater input within the southern branch of the Yangtze Estuary, China: implications for conservation.Crossref | GoogleScholarGoogle Scholar |

Jiang, M., Shen, X. Q., and Chen, L. F. (2006). Relationship between with abundance distribution of fish eggs, larvae and environmental factors in the Changjiang Estuary and vicinity waters in spring. Marine Environmental Science 25, 37–40.

Kindong, R., Wu, J. H., Gao, C. X., Dai, L. B., Tian, S. Q., Dai, X. J., and Chen, J. H. (2020). Seasonal changes in fish diversity, density, biomass, and assemblage alongside environmental variables in the Yangtze River Estuary. Environmental Science and Pollution Research , .
Seasonal changes in fish diversity, density, biomass, and assemblage alongside environmental variables in the Yangtze River Estuary.Crossref | GoogleScholarGoogle Scholar | 32350839PubMed |

Liu, S. D., and Xian, W. W. (2009). Temporal and spatial patterns of the ichthyoplankton community in the Yangtze estuary and its adjacent waters. Biodiversity Science 17, 151–159.
Temporal and spatial patterns of the ichthyoplankton community in the Yangtze estuary and its adjacent waters.Crossref | GoogleScholarGoogle Scholar |

Lorenzen, C. J. (1970). Surface chlorophyll as an index of the depth, chlorophyll content, and primary productivity of the euphotic layer. Limnology and Oceanography 15, 479–480.
Surface chlorophyll as an index of the depth, chlorophyll content, and primary productivity of the euphotic layer.Crossref | GoogleScholarGoogle Scholar |

Maes, J., Stevens, M., and Breine, J. (2007). Modelling the migration opportunities of diadromous fish species along a gradient of dissolved oxygen concentration in a European tidal watershed. Estuarine, Coastal and Shelf Science 75, 151–162.
Modelling the migration opportunities of diadromous fish species along a gradient of dissolved oxygen concentration in a European tidal watershed.Crossref | GoogleScholarGoogle Scholar |

Marra, G., and Wood, S. N. (2012). Coverage properties of confidence intervals for generalized additive model components. Scandinavian Journal of Statistics 39, 53–74.
Coverage properties of confidence intervals for generalized additive model components.Crossref | GoogleScholarGoogle Scholar |

Masuda, H., Amaoka, K., Araga, C., Uyeno, T., and Yoshino, T. (1984). ‘The Fishes of the Japanese Archipelago’. Vol. 1. (Tokai University Press: Tokyo, Japan.)

Mazerolle, M. J. (2017). AICcmodavg: Model Selection and Multimodel Inference Based on (Q)AIC(c). R Package Version 2.1-1. Available at https://cranr-project.org/web/packages/AICcmodavg/AICcmodavg.pdf.

Potts, S. E., and Rose, K. A. (2018). Evaluation of GLM and GAM for estimating population indices from fishery-independent surveys. Fisheries Research 208, 167–178.
Evaluation of GLM and GAM for estimating population indices from fishery-independent surveys.Crossref | GoogleScholarGoogle Scholar |

Quan, W. M., Ni, Y., Shi, L. Y., and Chen, Y. Y. (2009). Composition of fish communities in an intertidal salt marsh creek in the Yangtze River estuary, China. Chinese Journal of Oceanology and Limnology 27, 806–815.
Composition of fish communities in an intertidal salt marsh creek in the Yangtze River estuary, China.Crossref | GoogleScholarGoogle Scholar |

Quan, X. Q., Jin, X. X., and Sun, Y. N. (2014). The complete mitochondrial genome of Lophiogobius ocellicauda (Perciformes, Gobiidae). Mitochondrial DNA 25, 95–97.
The complete mitochondrial genome of Lophiogobius ocellicauda (Perciformes, Gobiidae).Crossref | GoogleScholarGoogle Scholar |

R Core Team (2019). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at https://www.R-project.org/ [verified 1 April 2019].

Shan, X. J., Jin, X. S., and Yuan, W. (2010). Fish assemblage structure in the hypoxic zone in the Yangtze (Yangtze River) estuary and its adjacent waters. Chinese Journal of Oceanology and Limnology 28, 459–469.
Fish assemblage structure in the hypoxic zone in the Yangtze (Yangtze River) estuary and its adjacent waters.Crossref | GoogleScholarGoogle Scholar |

Thiaw, M., Auger, P. A., Ngom, F., Brochier, T., Faye, S., Diankha, O., and Brehmer, P. (2017). Effect of environmental conditions on the seasonal and interannual variability of small pelagic fish abundance off North-West Africa: the case of both Senegalese sardinella. Fisheries Oceanography 26, 583–601.
Effect of environmental conditions on the seasonal and interannual variability of small pelagic fish abundance off North-West Africa: the case of both Senegalese sardinella.Crossref | GoogleScholarGoogle Scholar |

Tzeng, W. N., Wang, Y. T., and Chang, C. W. (2002). Spatial and temporal variations of the estuarine larval fish community on the west coast of Taiwan. Marine and Freshwater Research 53, 419–430.
Spatial and temporal variations of the estuarine larval fish community on the west coast of Taiwan.Crossref | GoogleScholarGoogle Scholar |

Whitfield, A. K. (1999). Ichthyofaunal assemblages in estuaries: a South African case study. Reviews in Fish Biology and Fisheries 9, 151–186.
Ichthyofaunal assemblages in estuaries: a South African case study.Crossref | GoogleScholarGoogle Scholar |

Whitfield, A. K., Elliott, M., Basset, A., Blader, S. J. M., and West, R. J. (2012). Paradigms in the estuarine ecology: a review of the Remane diagram with a suggested revised model for estuaries. Estuarine, Coastal and Shelf Science 97, 78–90.
Paradigms in the estuarine ecology: a review of the Remane diagram with a suggested revised model for estuaries.Crossref | GoogleScholarGoogle Scholar |

Wood, S. N. (2003). Thin plate regression splines. Journal of the Royal Statistical Society – Statistical Methodology Series B 65, 95–114.
Thin plate regression splines.Crossref | GoogleScholarGoogle Scholar |

Wood, S. N. (2006). ‘Generalized Additive Models: an Introduction with R.’ 1st edn. (Chapman and Hall/CRC: Boca Raton, FL, USA.)

Wood, S. N. (2017). ‘Generalized Additive Models: an Introduction with R.’ 2nd edn. (Chapman and Hall/CRC Press: Boca Raton, FL, USA.)

Wood, S. N., Scheipl, F., and Faraway, F. F. (2013). Straightforward intermediate rank tensor product smoothing in mixed models. Statistics and Computing 23, 341–360.
Straightforward intermediate rank tensor product smoothing in mixed models.Crossref | GoogleScholarGoogle Scholar |

Wood, S. N., Pya, N., and Saefken, B. (2016). Smoothing parameter and model selection for general smooth models (with discussion). Journal of the American Statistical Association 111, 1548–1575.
Smoothing parameter and model selection for general smooth models (with discussion).Crossref | GoogleScholarGoogle Scholar |

Wu, H. L., and Zhong, J. S. (2008). ‘Fauna Sinica-Osteichthyes: Perciformes (V), Gobioidei.’ (Science Press: Beijing, China.)

Yang, D. L., Wu, G. Z., and Sun, J. R. (1990). The investigation of pelagic eggs, larvae and juveniles of fishes at the mouth of the Changjiang River and adjacent areas. Oceanologia et Limnologia Sinica 21, 346–355.

Yu, H. C., and Xian, W. W. (2009). The environment effect on fish assemblage structure in waters adjacent to the Yangtze (Yangtze) River estuary (1998–2001). Chinese Journal of Oceanology and Limnology 27, 443–456.
The environment effect on fish assemblage structure in waters adjacent to the Yangtze (Yangtze) River estuary (1998–2001).Crossref | GoogleScholarGoogle Scholar |

Zhang, H., Xian, W. W., and Liu, S. D. (2015). Ichthyoplankton assemblage structure of springs in the Yangtze Estuary revealed by biological and environmental visions. PeerJ 3, e1186.
Ichthyoplankton assemblage structure of springs in the Yangtze Estuary revealed by biological and environmental visions.Crossref | GoogleScholarGoogle Scholar | 26312180PubMed |

Zhang, H., Xian, W. W., and Liu, S. D. (2016). Autumn ichthyoplankton assemblage in the Yangtze Estuary shaped by environmental factors. PeerJ 4, e1922.
Autumn ichthyoplankton assemblage in the Yangtze Estuary shaped by environmental factors.Crossref | GoogleScholarGoogle Scholar | 27812414PubMed |

Zhao, J., Cao, J., Tian, S. Q., Chen, Y., Zhang, S. Y., Wang, Z. H., and Zhou, X. J. (2014). A comparison between two GAM models in quantifying relationships of environmental variables with fish richness and diversity indices. Aquatic Ecology 48, 297–312.
A comparison between two GAM models in quantifying relationships of environmental variables with fish richness and diversity indices.Crossref | GoogleScholarGoogle Scholar |

Zhu, J., and Lyu, H. (2019). The longest continuous days unsuitable for water intake of the lower Biandan Shoal in the Changjiang River estuary. Acta Oceanologica Sinica 41, 12–22.

Zuur, A. F., Elena, N. I., and Chris, S. E. (2010). A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution 1, 3–14.
A protocol for data exploration to avoid common statistical problems.Crossref | GoogleScholarGoogle Scholar |