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The completeness of taxonomic inventories for describing the global diversity and distribution of marine fishes

机译:用于描述海洋鱼类全球多样性和分布的分类学清单的完整性

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摘要

Taxonomic inventories (or species censuses) are the most elementary data in biogeography, macroecology and conservation biology. They play fundamental roles in the construction of species richness patterns, delineation of species ranges, quantification of extinction risk and prioritization of conservation efforts in hot spot areas. Given their importance, any issue related to the completeness of taxonomic inventories can have far-reaching consequences. Here, we used the largest publicly available database of georeferenced marine fish records to determine its usefulness in depicting the diversity and distribution of this taxonomic group. All records were grouped at multiple spatial resolutions to generate accumulation curves, from which the expected number of species were extrapolated using a variety of nonlinear models. Comparison of the inventoried number of species with that expected from the models was used to calculate the completeness of the taxonomic inventory at each resolution. In terms of the global number of fish species, we found that approximately 21% of the species remain to be described. In terms of spatial distribution, we found that the completeness of taxonomic data was highly scale dependent, with completeness being lower at finer spatial resolutions. At a 3° (approx. 350km2) spatial resolution, less than 1.8% of the world's oceans have above 80% of their fish fauna currently described. Censuses of species were particularly incomplete in tropical areas and across the entire range of countries' gross domestic product (GDP), although the few censuses nearing completion were all along the coasts of a few developed countries or territories. Our findings highlight that failure to quantify the completeness of taxonomic inventories can introduce substantial flaws in the description of diversity patterns, and raise concerns over the effectiveness of conservation strategies based upon data that remain largely precarious.
机译:分类清单(或物种普查)是生物地理学,宏观生态学和保护生物学中最基本的数据。它们在构建物种丰富度模式,确定物种范围,量化灭绝风险以及确定热点地区保护工作的优先顺序方面发挥着重要作用。鉴于其重要性,任何与生物分类清单完整性有关的问题都可能产生深远的影响。在这里,我们使用了最大的可公开获取的地理参考海鱼记录数据库,来确定其在描述该分类组的多样性和分布方面的有用性。将所有记录以多种空间分辨率分组以生成累积曲线,并使用各种非线性模型从中推断出预期的物种数量。将物种清单数量与模型预期数量进行比较,以计算每种分辨率下生物分类清单的完整性。就全球鱼类种类而言,我们发现仍有大约21%的鱼类需要描述。在空间分布方面,我们发现分类数据的完整性高度依赖于规模,而在更精细的空间分辨率下,完整性较低。在3°(约350 km2)的空间分辨率下,目前不到1.8%的世界海洋拥有超过80%的鱼类。在热带地区以及整个国家的国内生产总值(GDP)范围内,物种普查尤其不完整,尽管几项即将完成的普查都在少数发达国家或地区的沿海地区进行。我们的发现表明,无法量化分类清单的完整性可能会在描述多样性模式时引入重大缺陷,并会基于仍然不稳定的数据引发对保护策略有效性的担忧。

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