Effectively and accurately mapping global biodiversity patterns for different regions and taxa

Effectively and accurately mapping global biodiversity patterns for different regions and taxa
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有效、准确地绘制不同区域和类群的全球生物多样性格局

DOI:
10.1111/geb.13304
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发表时间:
2021-04-22
影响因子:
6.4
通讯作者:
Qiao, Huijie
Qiao, Huijie
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Hughes, Alice C.;Orr, Michael C.;Qiao, Huijie

文献摘要

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目的了解专家范围图的代表性和准确性,并探索准确绘制物种分布图的替代方法。位置全球。时间周期当代。主要分类群研究陆生脊椎动物和蜻蜓目。方法我们分析了50,768只动物的偏差国际自然保护联盟,全球爬行动物分布评估和鸟类物种地图,并评估了这些地图与现有的政治边界和各种非生态边界之间的联系,以评估其对某些类型的分析的准确性。我们将每个物种地图与全球生物多样性信息设施的数据进行交叉引用,以评估地图是否涵盖了物种的整个范围,以及在评估的物种范围内出现点的百分比。此外,我们使用了一些不同的方法来映射多样性模式,并比较这些与高分辨率模型的分布patterns.Results平均而言,20-30%的非沿海范围的物种边界与行政国家边界重叠。总的来说,物种空间周转率最高的地区(物种范围边界的高密度标志着物种群落的高水平转移)中有60%发生在政治边界,这在东南亚尤其常见。不同的分类群存在不同的偏见,在爬行动物网格分析,在蜻蜓(除美洲)和县边界的两栖动物在美国的河流流域。平均而言,多达一半(25-46%)的记录范围点的物种落在他们的地图分布。过滤的最小凸多边形比专家范围图复制建模的多样性patterns.Main conclusions专家范围图显示在所有类群的行政边界的高偏见,但这是最高的过渡从热带到亚热带地区。所使用的方法在空间、时间和分类群上不一致,所绘制的范围与物种分布数据不匹配。替代方法可以比专家地图更好地重建分布模式,需要数据驱动的方法来提供可靠的替代方法,以更好地了解物种分布。
Aim The aim was to understand the representativeness and accuracy of expert range maps and to explore alternative methods for mapping species distributions accurately.Location Global.Time period Contemporary.Major taxa studied Terrestrial vertebrates and Odonata.Methods We analysed the biases in 50,768 animal International Union for Conservation of Nature, Global Assessment of Reptile Distributions and BirdLife species maps and assessed the links between these maps and existing political boundaries and various non-ecological boundaries to assess their accuracy for certain types of analyses. We cross-referenced each species map with data from the Global Biodiversity Information Facility to assess whether maps captured the whole range of a species and what percentage of occurrence points fell within the assessed range of the species. In addition, we used a number of different methods to map diversity patterns and compared these with high-resolution models of distribution patterns.Results On average, 20-30% of the non-coastal range boundaries of species overlapped with administrative national boundaries. In total, 60% of areas with the highest spatial turnover in species (high densities of species range boundaries marking high levels of shift in the community of species present) occurred at political boundaries, which was especially common in Southeast Asia. Different biases existed for different taxa, with gridded analysis in reptiles, river basins in Odonata (except the Americas) and county boundaries for amphibians in the USA. On average, up to half (25-46%) of the recorded range points of species fell outside their mapped distributions. Filtered minimum convex polygons performed better than expert range maps in reproducing modelled diversity patterns.Main conclusions Expert range maps showed high bias at administrative borders in all taxa, but this was highest at the transition from tropical to subtropical regions. The methods used were inconsistent across space, time and taxa, and the ranges mapped did not match species distribution data. Alternative approaches can reconstruct patterns of distribution better than expert maps, and data-driven approaches are needed to provide reliable alternatives to gain a better understanding of species distributions.