Simulation analysis of the ecological performance of artificial reefs using species distribution models
文献类型：期刊论文
| 作者 | Yu, Haolin2,3; Rose, Kenneth A.4; Fang, Guangjie5; Tang, Yanli6; Becker, Alistair7; Feng, Jie1; Zhang, Tao2,3 |
| 刊名 | FRONTIERS IN ECOLOGY AND EVOLUTION
 |
| 出版日期 | 2026-03-09 |
| 卷号 | 14页码:30 |
| 关键词 | artificial reefs layout sensitivity reef interaction simulation analysis species distribution model |
| ISSN号 | 2296-701X |
| DOI | 10.3389/fevo.2026.1684304 |
| 通讯作者 | Tang, Yanli(tangyanli@ouc.edu.cn) ; Zhang, Tao(tzhang@qdio.ac.cn) |
| 英文摘要 | Introduction Artificial reefs (ARs) have been widely used to provide ecological and fisheries benefits. Quantitative evaluation of how the numbers and spatial layout of ARs affect fish responses can provide critical insights for management.Methods We used survey data from an area in the Bohai Strait (China) that has ARs deployed and developed species distribution models (SDMs) predicting the occurrence probabilities of three commercially important species (Charybdis japonica, Sebastes schlegelii, and Hexagrammos otakii) and one undesirable focal species (Asterias amurensis and Asterina pectinifera combined). Three versions of SDMs were developed: a Best-fit model based on survey data, and two modified versions (Intermediate and Extreme), that incorporated increasing levels of AR-to-AR interactions, reflecting competitive and connectivity effects. A 24 & times;24 grid with 50-m cells was populated with bottom habitat type (mud, gravel, rubble, boulder, or AR) and key environmental variables affecting occurrence probabilities. Using simulations of 10,000 randomly-generated spatial layouts of added ARs (bottom type switched to AR), we compared predicted occurrence probabilities from the Best-fit, Intermediate, and Extreme SDMs when 5, 10, 25, and 50 ARs were added to the existing ARs. Performance was evaluated using the predicted species-specific occurrence probabilities, with occurrence of the undesirable species treated inversely (i.e., lower occurrence probability indicated higher performance).Results Increasing AR numbers increased the percentage of grid cells supporting good habitat, but saturation and interference effects caused similar values for 25-50 ARs for several species, while reducing variation across spatial layouts. The three desirable species showed similar patterns with the representative layouts categorized into good and bad performing: increasing spread of good ARs on the grid with number of ARs deployed, shift of good ARs from upper to lower triangle, and an increasingly bad-performing central area with 50 ARs. The spatial overlap between high-performing cells for desirable species and elevated occurrence of undesirable Sea star illustrated an inherent trade-off that should be considered in management objectives.Discussion We conclude with a discussion of the need for AR layout-specific evaluation, consideration of AR interaction strength, broader applicability to other systems, potential pathways to expand the analysis (e.g., add hydrodynamic models), and caveats and recommendations for further development. |
| WOS关键词 | INCREASED HABITAT COMPLEXITY ; FISH ASSEMBLAGES ; COMMUNITY STRUCTURE ; CLIMATE-CHANGE ; CORAL ; DEPLOYMENT ; PREDATION ; ABUNDANCE ; CONSERVATION ; CONNECTIVITY |
| 资助项目 | National Natural Science Foundation of China[42306151] ; Primary Research and Development Plan of Guangxi Province[AB21220064] ; Shandong Postdoctoral Science Foundation[SDCXZG202301009] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001720291500001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/205145]  |
| 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 | Tang, Yanli; Zhang, Tao |
| 作者单位 | 1.Minist Nat Resources, North China Sea Marine Forecasting & Hazard Mitiga, Qingdao, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China 3.Qingdao Marine Sci & Technol Ctr, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China 4.Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD USA 5.Zhejiang Marine Fisheries Res Inst, Fishery Resources & Ecol Res Dept, Zhoushan, Peoples R China 6.Ocean Univ China, Coll Fisheries, Qingdao, Peoples R China 7.Port Stephens Fisheries Inst, New South Wales Dept Primary Ind & Reg Dev, Taylors Beach, NSW, Australia |
| 推荐引用方式 GB/T 7714 | Yu, Haolin,Rose, Kenneth A.,Fang, Guangjie,et al. Simulation analysis of the ecological performance of artificial reefs using species distribution models[J]. FRONTIERS IN ECOLOGY AND EVOLUTION,2026,14:30. |
| APA | Yu, Haolin.,Rose, Kenneth A..,Fang, Guangjie.,Tang, Yanli.,Becker, Alistair.,...&Zhang, Tao.(2026).Simulation analysis of the ecological performance of artificial reefs using species distribution models.FRONTIERS IN ECOLOGY AND EVOLUTION,14,30. |
| MLA | Yu, Haolin,et al."Simulation analysis of the ecological performance of artificial reefs using species distribution models".FRONTIERS IN ECOLOGY AND EVOLUTION 14(2026):30. |
入库方式： OAI收割
来源：海洋研究所
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