摘要: |
海山是深海生物多样性的集聚地,而八放珊瑚是其中多样性高且占优势的类群,是海山脆弱海洋生态系统的指标类群,但迄今对其在全球海山的分布格局及驱动因素尚未报道。本研究整理分析了全球392座海山的24678条八放珊瑚记录,探讨了八放珊瑚在200–1000 m和1000 m以深的分布格局及驱动因素。研究表明,200–1000 m水层八放珊瑚属级记录最多的网格分布在夏威夷群岛海域,1000 m以深为夏威夷群岛海域和西北大西洋。使用层级聚类分析海山群落相似性与Infomap Bioregions网络分析,可将200–1000 m的八放珊瑚划分为8个生物地理区,且阿拉斯加–加利福尼亚州海域、夏威夷群岛海域与热带太平洋海域分区明显;1000 m以深的水层可划分为11个生物地理区,加利福尼亚海域、太平洋中部与新西兰东南海域分区明显。Mantel test分析显示200–1000 m水层温度与生物地理区内的生物组成差异显著相关,层级聚类和网络分析显示溶解氧含量和流速亦为显著因子。通过T–test和Wilcoxon秩和检验分析表明200–1000 m和1000 m以深的部分八放珊瑚属对温度、溶解氧含量、盐度及流速等特定环境因子存在显著偏好,这可能是导致不同生物地理区八放珊瑚组成差异的重要原因。 |
关键词: 生物地理区 层级聚类 网络分析 生物多样性热点 大数据 |
DOI:10.11693/hyhz20231200260 |
分类号: |
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目) |
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Diversity Distribution Patterns and Driving Factors of Octocorals in Seamount |
WANG Ting-Ting1, WEI Jie-Hong1, Xu Yu1, Dou Fang-Kun2, Xu Kui-Dong1, Zhao Feng1
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1.Department of Marine Organism Taxonomy and Phylogeny,Institute of Oceanology,Chinese Academy of Sciences;2.Oceanographic Data Center, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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Abstract: |
Seamounts are hotspots of deep-sea biodiversity, and octocorals as the most diverse and dominant group of seamount megabenthos have been regarded as indicators of seamount Vulnerable Marine Ecosystem. However, the distribution pattern and driving factors of seamount octocorals remain unclear. By analyzing a total of 24,678 records of octocorals from 392 seamounts worldwide, we revealed the global distribution patterns and driving factors of seamount octocorals in water layers of 200–1000 m and below 1000 m. The results showed that the most recorded grids of octocoral genera were distributed in the waters of the Hawaiian Archipelago in water layer of 200–1000 m and in the waters of the Hawaiian Islands and the Northwest Atlantic Ocean in waters deeper than 1000 m. The results of the Hierarchical Clustering analysis and Infomap Bioregions network analysis classified the octocorals in the 200–1000 m water layer into eight biogeographical regions, where the Alaska-California, the Hawaiian Archipelago and the tropical Pacific waters were distinct. Likewise, the octocorals genera in waters deeper than 1000 m were categorized into 11 biogeographical regions, where the California, the central Pacific Ocean and the southeast sea area of New Zealand are distinct. Mantel test analysis showed that the water temperature in the 200–1000 m was significantly correlated with the difference of biological composition in the biogeographic area, and Hierarchical Clustering and network analysis showed that dissolved oxygen and flow velocity were also driving factors. T-test and Wilcoxon rank sum test showed that some octocoral genera in the water layers of 200–1000 m and deeper than 1000 m showed significant preferences for specific environmental factors such as temperature, dissolved oxygen, salinity and velocity, which may result in the distribution of octocoral genera in different biogeographical regions. |
Key words: bioregion hierarchical clustering network analysis biodiversity hotspots big data. |