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Endemicity and community composition of marine species along the NW Pacific and the adjacent Arctic Ocean

机译:西北部太平洋和邻近北冰洋的海洋物种的地方性和群落组成

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摘要

The NW Pacific lies in the most productive, rich, and diverse region of the World Ocean. The NW Pacific includes several shallow-water oceanic islands and deep-sea basins differing in depths, hydrology and isolation. The adjacent Arctic Ocean includes the northern Bering and southern Chukchi Sea, areas of high productivity characterized by short food chains and shallow depths. Despite the NW Pacifies high species richness, characterization of species diversity and species composition in this region remains poorly explored and/or unknown. Here we attempt to discover how geographic boundaries and depth shape current community assemblages in this area by limiting species richness and geographic distribution ranges. All geographic distribution records were extracted from Ocean Biogeographic Information System (OBIS) and Global Biodiversity Information Facility (GBIF). Distribution data were then cleaned, resulting in a final dataset including 324,916 distribution records of 17,414 species ranging from 0 to 10,900 m depth. We calculated the rate of endemicity and alpha species richness per ecoregion. We also showed how species composition and community structure varies between the tropical and temperate NW Pacific and adjacent Arctic Ocean when sampling bias is accounted for using rarefaction. After accounting for sampling bias, the Eastern Philippines had the greatest species richness (for both pelagic and benthic species) in the NW Pacific and its adjacent Arctic Ocean, and the lowest species richness was observed in Papua. Despite the high species richness in the Eastern Philippines, the Yellow Sea and Gulf of Tonkin had the highest benthic species endemicity rates (ca. 70%) and Aleutian Islands had the highest pelagic endemicity rate (ca. 45%) among all other ecoregions. In the NW Pacific, Chordata, Arthropoda, and Mollusca contributed more than 50% to the species composition of the community. In the Arctic Ocean, Arthropoda, Annelida, and Mollusca were the dominant taxa comprising ca. 82% of the species community. Two significantly distinguished clusters (North and South clusters) were identified based on species similarity analysis including ecoregions of the (1) polar Arctic Ocean and temperate North NW Pacific, and (2) tropical and sub-tropical NW Pacific. We also calculated marine species richness hotspots (actual and expected ES50) and centers of endemism in the NW Pacific and adjacent Arctic Ocean. These analyses reveal an opportunity for marine conservation planning effort as reporting species richness and endemicity hotspots could be highly effective in pinpointing and preventing biodiversity loss.
机译:西北太平洋位于世界海洋中生产力最高,最丰富和最多样化的地区。西北太平洋地区包括几个浅海海洋岛屿和深海盆地,其深度,水文和隔离情况各不相同。毗邻的北冰洋包括白令海北部和楚科奇海南部,这是高产区,食物链短,深度浅。尽管西北部和平解决了物种丰富度高的问题,但该地区物种多样性和物种组成的特征仍然缺乏探索和/或未知。在这里,我们试图通过限制物种丰富度和地理分布范围来发现地理边界和深度如何塑造该地区当前的群落。所有地理分布记录均摘自海洋生物地理信息系统(OBIS)和全球生物多样性信息设施(GBIF)。然后清理分布数据,得到最终数据集,包括324,916个分布记录,记录深度从0到10,900 m的17,414种。我们计算了每个生态区域的地方性流行率和alpha物种丰富度。我们还显示了当使用稀疏度考虑抽样偏差时,热带和温带西北太平洋和相邻的北冰洋之间的物种组成和群落结构如何变化。在考虑了抽样偏差之后,菲律宾东部地区在西北太平洋及其邻近的北冰洋具有最大的物种丰富度(对于浮游和底栖物种),而在巴布亚则观察到最低的物种丰富度。尽管菲律宾东部的物种丰富度很高,但在所有其他生态区域中,黄海和东京湾底栖生物的地方性流行率最高(约70%),而阿留申群岛中上层生物的最高流行率(约45%)。在西北太平洋地区,Chordata,节肢动物和软体动物对社区物种构成的贡献超过50%。在北冰洋,节肢动物,Annelida和软体动物是占主导地位的类群。 82%的物种群落。根据物种相似性分析,确定了两个显着不同的星团(北星团和南星团),包括(1)极地北冰洋和温带北西北太平洋以及(2)热带和亚热带西北太平洋的生态区。我们还计算了西北太平洋和邻近北冰洋的海洋物种丰富度热点(实际和预期的ES50)和地方性中心。这些分析揭示了海洋保护规划工作的机会,因为报告物种丰富度和地方性热点在查明和防止生物多样性丧失方面可能非常有效。

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  • 来源
    《Progress in Oceanography》 |2019年第11期|102199.1-102199.11|共11页
  • 作者单位

    Senckenberg Res Inst Dept Marine Zool D-60325 Frankfurt Germany|Nat Hist Museum Dept Marine Zool D-60325 Frankfurt Germany|Goethe Univ Frankfurt Inst Ecol Divers & Evolut D-60438 Frankfurt Germany|Deep Sea Node Frankfurt Germany;

    Senckenberg Res Inst Dept Marine Zool D-60325 Frankfurt Germany|Nat Hist Museum Dept Marine Zool D-60325 Frankfurt Germany|Goethe Univ Frankfurt Inst Ecol Divers & Evolut D-60438 Frankfurt Germany;

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