Temporal variations of food web in a marine bay ecosystem based on LIM-MCMC model

Pengcheng Li; Hu Zhang; Chongliang Zhang; Binduo Xu; Yupeng Ji; Yiping Ren; Ying Xue

doi:10.1007/s13131-023-2273-8

Volume 43 Issue 8

Aug. 2024

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Article Navigation > Acta Oceanologica Sinica > 2024 > 43(8): 79-88

Pengcheng Li, Hu Zhang, Chongliang Zhang, Binduo Xu, Yupeng Ji, Yiping Ren, Ying Xue. Temporal variations of food web in a marine bay ecosystem based on LIM-MCMC model[J]. Acta Oceanologica Sinica, 2024, 43(8): 79-88. doi: 10.1007/s13131-023-2273-8

Citation:

Pengcheng Li, Hu Zhang, Chongliang Zhang, Binduo Xu, Yupeng Ji, Yiping Ren, Ying Xue. Temporal variations of food web in a marine bay ecosystem based on LIM-MCMC model[J]. Acta Oceanologica Sinica, 2024, 43(8): 79-88. doi: 10.1007/s13131-023-2273-8

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Temporal variations of food web in a marine bay ecosystem based on LIM-MCMC model

doi: 10.1007/s13131-023-2273-8

Pengcheng Li^{1, 2},
Hu Zhang³,
Chongliang Zhang^{1, 2},
Binduo Xu^{1, 2},
Yupeng Ji^{1, 2},
Yiping Ren^{1, 2},
Ying Xue^{1, 2
,
,}

1.
Laboratory of Fisheries Ecosystem Monitoring and Assessment, College of Fisheries, Ocean University of China, Qingdao 266003, China
2.
Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao 266003, China
3.
Jiangsu Marine Fisheries Research Institute, Nantong 226007, China

Funds: The Shandong Provincial Natural Science Foundation under contract No. ZR2023MD096; the National Key R&D Program of China under contract Nos 2018YFD0900904 and 2018YFD0900906.

More Information

Corresponding author: E-mail: xueying@ouc.edu.cn
Received Date: 2023-08-16
Accepted Date: 2023-09-28

Available Online: 2024-04-30

Publish Date: 2024-08-25

Abstract

Abstract

Climate change has led to significant fluctuations in marine ecosystems, including alterations in the structure and function of food webs and ecosystem status. Coastal ecosystems are critical to the functioning of the earth’s life-supporting systems. However, temporal variations in most of these ecosystems have remained unclear so far. In this study, we employed a linear inverse model with Markov Chain Monte Carlo (LIM-MCMC) combined with ecological network analysis to reveal the temporal variations of the food web in Haizhou Bay of China. Food webs were constructed based on diet composition data in this ecosystem during the year of 2011 and 2018. Results indicated that there were obvious temporal variations in the composition of food webs in autumn of 2011 and 2018. The number of prey and predators for most species in food web decreased in 2018 compared with 2011, especially for Trichiurus lepturus, zooplankton, Amblychaeturichthys hexanema, and Loligo sp. Ecological network analysis showed that the complexity of food web structure could be reflected by comprehensive analysis of compartmentalized indicators. Haizhou Bay ecosystem was more mature and stable in 2011, while the ecosystem’s self-sustainability and recovery from disturbances were accelerated from 2011 to 2018. These findings contribute to our understanding of the dynamics of marine ecosystems and highlight the importance of comprehensive analysis of marine food webs. This work provides a framework for assessing and comparing temporal variations in marine ecosystems, which provides essential information and scientific guidance for the Ecosystem-based Fisheries Management.
- LIM-MCMC,
- ecological network analysis,
- marine ecosystem,
- food web

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