Population dynamics modelling with spatial heterogeneity for yellow croaker (<i>Larimichthys polyactis</i>) along the coast of China

Qiuyun Ma; Yan Jiao; Yiping Ren; Ying Xue

doi:10.1007/s13131-020-1602-4

Volume 39 Issue 10

Oct. 2020

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Qiuyun Ma, Yan Jiao, Yiping Ren, Ying Xue. Population dynamics modelling with spatial heterogeneity for yellow croaker (Larimichthys polyactis) along the coast of China[J]. Acta Oceanologica Sinica, 2020, 39(10): 107-119. doi: 10.1007/s13131-020-1602-4

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Qiuyun Ma, Yan Jiao, Yiping Ren, Ying Xue. Population dynamics modelling with spatial heterogeneity for yellow croaker (Larimichthys polyactis) along the coast of China[J]. Acta Oceanologica Sinica, 2020, 39(10): 107-119. doi: 10.1007/s13131-020-1602-4

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Population dynamics modelling with spatial heterogeneity for yellow croaker (Larimichthys polyactis) along the coast of China

doi: 10.1007/s13131-020-1602-4

Qiuyun Ma^{1, 2, 4},
Yan Jiao²,
Yiping Ren^{1, 3},
Ying Xue^{1
,
,}

1.
Fisheries College, Ocean University of China, Qingdao 266003, China
2.
Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
3.
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
4.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

Funds: The National Key R&D Program of China under contract No. 2017YFE0104400; the National Natural Science Foundation of China under contract No. 31772852; the Fundamental Research Funds for the Central Universities under contract Nos 201512002 and 201562030.

More Information

Corresponding author: E-mail: xueying@ouc.edu.cn
Received Date: 2019-09-06
Accepted Date: 2019-11-01

Available Online: 2020-12-28

Publish Date: 2020-10-25

Abstract

Abstract

As one of the top four commercially important species in China, yellow croaker (Larimichthys polyactis) with two geographic subpopulations, has undergone profound changes during the last several decades. It is widely comprehended that understanding its population dynamics is critically important for sustainable management of this valuable fishery in China. The only two existing population dynamics models assessed the population of yellow croaker using short time-series data, without considering geographical variations. In this study, Bayesian models with and without hierarchical subpopulation structure were developed to explore the spatial heterogeneity of the population dynamics of yellow croaker from 1968 to 2015. Alternative hypotheses were constructed to test potential temporal patterns in yellow croaker’s population dynamics. Substantial variations in population dynamics characteristics among space and time were found through this study. The population growth rate was revealed to increase since the late 1980s, and the catchability increased more than twice from 1981 to 2015. The East China Sea’s subpopulation witnesses faster growth, but suffers from higher fishing pressure than that in the Bohai Sea and Yellow Sea. The global population and two subpopulations all have high risks of overfishing and being overfished according to the MSY-based reference points in recent years. More conservative management strategies with subpopulation considerations are imperative for the fishery management of yellow croaker in China. The methodology developed in this study could also be applied to the stock assessment and fishery management of other species, especially for those species with large spatial heterogeneity data.
- yellow croaker,
- population dynamics,
- Bayesian hierarchical model,
- geographic variation

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References(58)

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