Edler Daniel, Guedes Thaís, Zizka Alexander, Rosvall Martin, Antonelli Alexandre
Integrated Science Lab, Department of Physics, Umeå University, SE-901 87 Umeå, Sweden.
Department of Biological and Environmental Sciences, University of Gothenburg, PO Box 461, SE-405 30 Gothenburg, Sweden.
Syst Biol. 2017 Mar 1;66(2):197-204. doi: 10.1093/sysbio/syw087.
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. [Biogeography; bioregionalization; conservation; mapping].
生物地理区域(生物区)揭示了不同物种集合在空间上是如何分组的,因此对于保护、历史生物地理学、生态学和进化来说都是重要的单元。已经开发了几种基于物种分布数据而非专家意见来识别生物地理区域的方法。一种方法成功地应用网络理论来简化和突出物种分布的潜在结构。然而,这种方法缺乏简单有效的分析工具。在此,我们展示“信息地图生物地理区域”,这是一个交互式网络应用程序,它输入物种分布数据并生成生物地理区域地图。物种分布可以作为地理参考点出现数据或范围地图提供,并且可以是局部、区域或全球尺度的。该应用程序使用一种新颖的自适应分辨率方法来充分利用通常不完整的物种分布数据。结果可以作为矢量图形、shapefile格式或表格形式下载。我们通过使用物种范围处理世界两栖动物的公开可用物种分布大数据集以及使用点出现数据处理哺乳动物数据集来验证该工具。然后,我们计算推断的生物地理区域与世界自然基金会生态区域之间的拟合度。作为应用示例,研究人员可以在历史生物地理学中重建祖先范围或识别用于针对性保护的指示物种。[生物地理学;生物区域化;保护;绘图]