Temporal variations of food web in a marine bay ecosystem based on LIM-MCMC model
作者机构：Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Jiangsu Marine Fisheries Research Institute
出 版 物：《Acta Oceanologica Sinica》 (海洋学报(英文版))
年 卷 期：2024年第08期
页 面：79-88页
核心收录：
学科分类：0710[理学-生物学] 083001[工学-环境科学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 0707[理学-海洋科学] 071004[理学-水生生物学]
基 金：The Shandong Provincial Natural Science Foundation under contract No. ZR2023MD096 the National Key R&D Program of China under contract Nos 2018YFD0900904 and 2018YFD0900906
摘 要：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 lifesupporting 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.
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