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首页> 外文期刊>Polar biology >Biogeographical patterns and areas of endemism for the Magellan region based on the distribution of crustacean species (Amphipoda, Copepoda, and Euphausiacea)
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Biogeographical patterns and areas of endemism for the Magellan region based on the distribution of crustacean species (Amphipoda, Copepoda, and Euphausiacea)

机译：麦哲伦地区的生物地理模式和地方特有区域，基于甲壳类物种（两栖类，Co足类和紫杉类）的分布

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Patterns of endemism in marine researches have been traditionally inferred from approaches ignoring the spatial component of endemism of such patterns. In this contribution, we used a method based on an optimality criterion that evaluates the spatial congruence among the distribution of different taxa and provides a value of endemicity to a given area regardless of how that it was hypothesized. This method has been widely applied to land environments, whereas in the sea it has not been well explored yet. We analyzed the geographic distribution of three crustacean groups (Amphipoda, Copepoda, and Euphausiacea) to search for areas of endemism (AEs) in the Magellan region by applying an optimality algorithm. To summarize among numerous resulting AEs, we employed a meta-consensus criterion based on a clustering analysis. We identified three main AEs and, into most of them, we recognized smaller areas for the first time: Chiloe, Atlantic coast (with a smaller area in San Jorge Gulf and Cape Blanco), and Fueguia (Channels and Fjords, Malvinas/Falklands, Burdwood Bank, and South-West Atlantic transition area). Both Atlantic coast and Fueguia do not strictly match the provinces previously defined in the literature. Our study lays the foundation for a biogeographic scheme into the Magellan region and provides new insights on zones currently placed in marine protected areas for the southern tip of South America, such as Burdwood Bank, Yaganes, and Diego Ramirez-Drake Passage. Integrating distribution patterns of many other organisms for the Magellan region will certainly help reinforce the conservation measures currently implemented.
机译：传统上，海洋研究中的特有模式是通过忽略这种模式的特有空间成分的方法推断出来的。在此贡献中，我们使用了基于最佳性标准的方法，该方法可评估不同分类单元的分布之间的空间一致性，并为给定区域提供流行性值，而不管其假设如何。该方法已广泛应用于陆地环境，而在海洋中尚未得到很好的探索。我们分析了三个甲壳类动物（两栖类，双足类和粉虱类）的地理分布，以通过应用最优算法在麦哲伦地区寻找特有区域（AEs）。为了总结众多由此产生的AE，我们基于聚类分析采用了元共识标准。我们确定了三个主要的AE，并且在其中大多数中，我们首次识别出较小的区域：Chiloe，大西洋沿岸（San Jorge海湾和布兰科角的区域较小）和Fueguia（海峡和峡湾，马尔维纳斯/福克兰群岛， Burdwood银行和西南大西洋过渡地区）。大西洋沿岸地区和Fueguia都与文献中先前定义的省份不完全匹配。我们的研究为麦哲伦地区的生物地理计划奠定了基础，并为当前位于南美南端海洋保护区的区域提供了新的见解，例如Burdwood Bank，Yaganes和Diego Ramirez-Drake Passage。整合麦哲伦地区许多其他生物的分布方式，无疑将有助于加强目前实施的保护措施。

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