Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions
Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions
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DOI：
10.1093/sysbio/syw087
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发表时间：
2017-03-01
影响因子：
6.5
通讯作者：
Antonelli, Alexandre
中科院分区：
文献类型：
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作者：
Edler, Daniel;Guedes, Thais;Antonelli, Alexandre
生物地理区域（Biogeographical regions）揭示了不同物种在空间上的分组方式，因此是保护、历史地理学、生态学和进化的重要单位。已经开发了几种方法，根据物种分布数据而不是专家意见来确定生物区。一种方法成功地应用网络理论来简化和突出物种分布的底层结构。然而，这种方法缺乏简单有效的分析工具。在这里，我们提出了信息地图生物区，一个交互式的Web应用程序，输入物种分布数据，并生成生物区地图。物种分布可以作为地理参考点出现或范围图提供，并且可以是局部、区域或全球尺度的。该应用程序使用了一种新的自适应分辨率方法，以充分利用往往不完整的物种分布数据。结果可以以矢量图形、shapefile或表格格式下载。我们通过处理大型数据集的公开可用的物种分布数据的世界上的两栖动物的物种范围，和哺乳动物使用点出现验证工具。然后，我们计算推断的生物区和WWF生态区之间的拟合。作为应用的例子，研究人员可以重建历史地理学中的祖先范围或确定有针对性的保护的指示物种。
Biogeographical regions (bioregions) reveal how different sets of species are spatially grouped and therefore are important units for conservation, historical biogeography, ecology, and evolution. Several methods have been developed to identify bioregions based on species distribution data rather than expert opinion. One approach successfully applies network theory to simplify and highlight the underlying structure in species distributions. However, this method lacks tools for simple and efficient analysis. Here, we present Infomap Bioregions, an interactive web application that inputs species distribution data and generates bioregion maps. Species distributions may be provided as georeferenced point occurrences or range maps, and can be of local, regional, or global scale. The application uses a novel adaptive resolution method to make best use of often incomplete species distribution data. The results can be downloaded as vector graphics, shapefiles, or in table format. We validate the tool by processing large data sets of publicly available species distribution data of the world's amphibians using species ranges, and mammals using point occurrences. We then calculate the fit between the inferred bioregions and WWF ecoregions. As examples of applications, researchers can reconstruct ancestral ranges in historical biogeography or identify indicator species for targeted conservation.