IOCAS-IR  > 海洋生态与环境科学重点实验室
Comparing marine ecosystems of Laizhou and Haizhou Bays, China, using ecological indicators estimated from food web models
Ju, Peilong1,2,3; Cheung, William W. L.3; Chen, Mingru2,4,5; Xian, Weiwei1,6; Yang, Shengyun2,5; Xiao, Jiamei2,5
2020-02-01
Source PublicationJOURNAL OF MARINE SYSTEMS
ISSN0924-7963
Volume202Pages:12
Corresponding AuthorChen, Mingru(mrchen@xmu.edu.cn) ; Xian, Weiwei(wwxian@qdio.ac.cn)
AbstractTwo Ecopath mass-balance models are built to describe the structural and functional ecosystems of Laizhou Bay (LZB) for 2014-2015 and Haizhou Bay (HZB) for 2011-2012. This is the first comparative study to analyze the similarities and differences between these two bays using ecological indicators estimated from a food web model. A comparison between the two models highlights similar characteristics in trophic functioning: zooplankton and shrimps as the structuring groups are important organisms enabling the pelagic-benthic coupling in the two ecosystems; and top-down effects are the main mechanism of control within the two ecosystems. Analysis of differences between the two ecosystems indicates that: (1) the ecological size (total system throughput, TST), total exports/TST and ecosystem efficiencies are bigger in LZB; (2) the bottom-up controls from the benthos, shrimps and zooplankton are enhanced in LZB; and (3) the ecosystem state is less mature but more stable in LZB. These differences can be attributed, at least in part, to the effects of sea ranching of low trophic-level species, such as shellfish and the holothurian Stichopus japonicus, in LZB. Analysis of similarities and differences may benefit the ecosystem-based approach to fisheries management in different ecosystems.
KeywordEcopath with Ecosim Comparative study Food web Laizhou Bay Haizhou Bay
DOI10.1016/j.jmarsys.2019.103238
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of China-Shandong Joint Fund for Marine Ecology and Environmental Sciences[U1406404] ; Natural Science Foundation of China-Shandong Joint Fund for Marine Ecology and Environmental Sciences[U1606404] ; National Natural Science Foundation of China[31272663] ; National Natural Science Foundation of China[41176138] ; Ministry of Agriculture of China ; China Scholarship Council[201606310169]
WOS Research AreaGeology ; Marine & Freshwater Biology ; Oceanography
WOS SubjectGeosciences, Multidisciplinary ; Marine & Freshwater Biology ; Oceanography
WOS IDWOS:000502889200001
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/164155
Collection海洋生态与环境科学重点实验室
Corresponding AuthorChen, Mingru; Xian, Weiwei
Affiliation1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Shandong, Peoples R China
2.Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361102, Fujian, Peoples R China
3.Univ British Columbia, Changing Ocean Res Unit, Vancouver, BC V6T 1Z4, Canada
4.Xiamen Univ Malaysia, China ASEAN Coll Marine Sci, Sepang 43900, Selangor, Malaysia
5.Xiamen Univ, Marine Biodivers & Global Change Res Ctr, Xiamen 361102, Fujian, Peoples R China
6.Qingdao Natl Lab Marine Sci & Technol, Marine Ecol & Environm Sci Funct Lab, Qingdao 266071, Shandong, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Ju, Peilong,Cheung, William W. L.,Chen, Mingru,et al. Comparing marine ecosystems of Laizhou and Haizhou Bays, China, using ecological indicators estimated from food web models[J]. JOURNAL OF MARINE SYSTEMS,2020,202:12.
APA Ju, Peilong,Cheung, William W. L.,Chen, Mingru,Xian, Weiwei,Yang, Shengyun,&Xiao, Jiamei.(2020).Comparing marine ecosystems of Laizhou and Haizhou Bays, China, using ecological indicators estimated from food web models.JOURNAL OF MARINE SYSTEMS,202,12.
MLA Ju, Peilong,et al."Comparing marine ecosystems of Laizhou and Haizhou Bays, China, using ecological indicators estimated from food web models".JOURNAL OF MARINE SYSTEMS 202(2020):12.
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