Examining the ecological role of Nemopilema nomurai as an energy transfer pathway through Ecopath with Ecosim: A case study in the offshore area adjacent to the Changjiang River estuary
文献类型:期刊论文
| 作者 | Guo, Dongjie4; Zhang, Fang2,4; Wang, Pengpeng4; Zhuang, Zhimeng1; Zhu, Ling5; Sun, Song2,3,4 |
| 刊名 | MARINE ENVIRONMENTAL RESEARCH
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| 出版日期 | 2026-04-01 |
| 卷号 | 216页码:12 |
| 关键词 | Nemopilema nomurai Ecological role Food web Fishery species Ecosystem modelling |
| ISSN号 | 0141-1136 |
| DOI | 10.1016/j.marenvres.2026.107900 |
| 通讯作者 | Zhang, Fang(zhangfang@qdio.ac.cn) ; Zhu, Ling(zhuling@ysfri.ac.cn) ; Sun, Song(sunsong@qdio.ac.cn) |
| 英文摘要 | Over the past few decades, the offshore area adjacent to the Changjiang River Estuary (CE), an important fishing ground, has emerged as a hotspot for blooms of large jellyfish Nemopilema nomurai. However, comprehensive and quantitative understanding of the impact of N. nomurai on energy flow and important commercial fisheries within the ecosystem, from an ecosystem-based perspective, remains limited. This study employed six massbalanced models using Ecopath with Ecosim to investigate the ecological role of N. nomurai as an energy transfer pathway within the food web, treating it as a separate functional group. Nemopilema nomurai was dominant in the combined energy consumption of fishery species and N. nomurai, and consumed a larger proportion of zooplankton production compared to fishery species, serving as an energy loss pathway with minimal production transferred to higher trophic levels. Additionally, scenario analyses revealed that fluctuations in N. nomurai population size had a significant impact on other functional groups owing to direct or indirect competition for food resources. This study provided valuable insights into the ecological role of jellyfish and their impact across various marine ecosystems worldwide. |
| WOS关键词 | EASTERN BERING-SEA ; FOOD-WEB MODELS ; JELLYFISH BLOOMS ; FORAGE FISH ; YELLOW SEA ; ECOSYSTEM ; FISHERIES ; BIOMASS ; CONSEQUENCES ; CARBON |
| 资助项目 | National Natural Science Foundation of China[42130411] ; National Natural Science Foundation of China[42576147] ; Laoshan Laboratory[LSKJ202203700] ; Laoshan Laboratory[LSKJ202203700-4] ; Laoshan Laboratory[LSKJ 202203803] ; National Key R & D Program of China[2023YFC3108202] ; Shandong Provincial Pre-research Project for Major Scientific Infrastructure[DKXZZ202205] |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Toxicology |
| 语种 | 英语 |
| WOS记录号 | WOS:001688261000001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/204742] ![]() |
| 专题 | 海洋研究所_海洋生态与环境科学重点实验室 |
| 通讯作者 | Zhang, Fang; Zhu, Ling; Sun, Song |
| 作者单位 | 1.Laoshan Lab, Qingdao 266237, Peoples R China 2.Univ Chinese Acad Sci, Coll Marine Sci, Qingdao 266071, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Jiaozhou Bay Natl Marine Ecosyst Res Stn, Qingdao 266071, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China 5.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Key Lab Sustainable Dev Marine Fisheries, Minist Agr, Qingdao 266071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Dongjie,Zhang, Fang,Wang, Pengpeng,et al. Examining the ecological role of Nemopilema nomurai as an energy transfer pathway through Ecopath with Ecosim: A case study in the offshore area adjacent to the Changjiang River estuary[J]. MARINE ENVIRONMENTAL RESEARCH,2026,216:12. |
| APA | Guo, Dongjie,Zhang, Fang,Wang, Pengpeng,Zhuang, Zhimeng,Zhu, Ling,&Sun, Song.(2026).Examining the ecological role of Nemopilema nomurai as an energy transfer pathway through Ecopath with Ecosim: A case study in the offshore area adjacent to the Changjiang River estuary.MARINE ENVIRONMENTAL RESEARCH,216,12. |
| MLA | Guo, Dongjie,et al."Examining the ecological role of Nemopilema nomurai as an energy transfer pathway through Ecopath with Ecosim: A case study in the offshore area adjacent to the Changjiang River estuary".MARINE ENVIRONMENTAL RESEARCH 216(2026):12. |
入库方式: OAI收割
来源:海洋研究所
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