Modeling Dominant Macrobenthic Species Distribution and Predicting Potential Habitats in the Yellow River Estuary, China
文献类型：期刊论文
| 作者 | Yuan, Chao2,3; Huang, Juan3; Wang, Lan3; Zhang, Tao1,5; Yu, Haolin1,5; Sun, Huiying3; Liu, Yumeng3; Sun, Shuo3; Sun, Jingyi3; Shang, Yongjun4 |
| 刊名 | BIOLOGY-BASEL
 |
| 出版日期 | 2025-12-03 |
| 卷号 | 14期号:12页码:19 |
| 关键词 | macrobenthos species distribution potential habitats Yellow River Estuary boosted regression trees |
| DOI | 10.3390/biology14121732 |
| 通讯作者 | Feng, Jie(fengjie@ncs.mnr.gov.cn) ; Xu, Jiangling(xujiangling@ncs.mnr.gov.cn) |
| 英文摘要 | Macrobenthic fauna are vital to the ecological health of the Yellow River Estuary, yet their long-term population drivers are poorly understood. This study used Boosted Regression Tree models to analyze the spatio-temporal distribution of five dominant species: Glycinde gurjanovae, Sternaspis scutata, Moerella jedoensis, Theora fragilis, and Raphidopus ciliatus. Key environmental drivers included ammonia nitrogen, water depth, sand content of sediment, and water temperature. Specifically, S. scutata and R. ciliatus preferred deeper waters, M. jedoensis favored habitats with moderate sand content of sediment, T. fragilis primarily occurred at water temperatures lower than 25 degrees C, and G. gurjanovae distribution was most influenced by ammonia nitrogen. All species exhibited a preference for lower ammonia nitrogen concentrations. Inorganic nitrogen and freshwater discharge from the Yellow River significantly influenced the distribution of G. gurjanovae, whereas river discharge alone was positively correlated with areas exhibiting a high occurrence probability (>0.5) for M. jedoensis. Future studies that integrate comprehensive seasonal monitoring data, hydrodynamic conditions, and food availability could further enhance predictive accuracy, providing stronger theoretical and technical support for ecological conservation and management in the Yellow River Estuary. |
| WOS关键词 | ECOSYSTEM ; RESPONSES |
| 资助项目 | Marine Science and Technology Project of North China Sea Bureau, Ministry of Natural Resources[202503] ; capacity building project for the Ocean Decade Collaborative Center on Ocean-Climate Nexus and Coordination (DCC-OCC)[GH2025001] ; Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation ; Open Research Fund of the Key Laboratory of Ecological Prewarning, Protection, and Restoration of Bohai Sea, Ministry of Natural Resources[2023109] ; National Natural Science Foundation of China[42306151] ; China National Offshore Oil Corporation Marine Environment and Ecological Protection Public Welfare Foundation[CF-MEEC/TR2025-13] ; Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation Open Fun[202312] |
| WOS研究方向 | Life Sciences & Biomedicine - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001648398700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/204526]  |
| 专题 | 中国科学院海洋研究所 |
| 通讯作者 | Feng, Jie; Xu, Jiangling |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266400, Peoples R China 2.Minist Nat Resources, Key Lab Ecol Prewarning & Protect Bohai Sea, Qingdao 266033, Peoples R China 3.Minist Nat Resources, North China Sea Marine Forecasting & Hazard Mitiga, Qingdao 266061, Peoples R China 4.Ocean Univ China, Fisheries Coll, Qingdao 266003, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266400, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Chao,Huang, Juan,Wang, Lan,et al. Modeling Dominant Macrobenthic Species Distribution and Predicting Potential Habitats in the Yellow River Estuary, China[J]. BIOLOGY-BASEL,2025,14(12):19. |
| APA | Yuan, Chao.,Huang, Juan.,Wang, Lan.,Zhang, Tao.,Yu, Haolin.,...&Xu, Jiangling.(2025).Modeling Dominant Macrobenthic Species Distribution and Predicting Potential Habitats in the Yellow River Estuary, China.BIOLOGY-BASEL,14(12),19. |
| MLA | Yuan, Chao,et al."Modeling Dominant Macrobenthic Species Distribution and Predicting Potential Habitats in the Yellow River Estuary, China".BIOLOGY-BASEL 14.12(2025):19. |
入库方式： OAI收割
来源：海洋研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。