Murphy Daniel J, Ebach Malte C, Miller Joseph T, Laffan Shawn W, Cassis Gerasimos, Ung Visotheary, Thornhill Andrew H, Kerr Nunzio, Tursky Melinda L
Royal Botanic Gardens Victoria, Melbourne, Vic., 3004, Australia.
Palaeontology, Geobiology and Earth Archives Research Centre (PANGEA), School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Cladistics. 2019 Dec;35(6):654-670. doi: 10.1111/cla.12381. Epub 2019 Apr 10.
We present the largest comparative biogeographical analysis that has complete coverage of Australia's geography (20 phytogeographical subregions), using the most complete published molecular phylogenies to date of large Australian plant clades (Acacia, Banksia and the eucalypts). Two distinct sets of areas within the Australian flora were recovered, using distributional data from the Australasian Virtual Herbarium (AVH) and the Atlas of Living Australia (ALA): younger Temperate, Eremaean and Monsoonal biomes, and older southwest + west, southeast and northern historical biogeographical regions. The analyses showed that by partitioning the data into two sets, using either a Majority or a Frequency method to select taxon distributions, two equally valid results were found. The dataset that used a Frequency method discovered general area cladograms that resolved patterns of the Australian biomes, whereas if widespread taxa (Majority method, with >50% of occurrences outside a single subregion) were removed the analysis then recovered historical biogeographical regions. The study highlights the need for caution when processing taxon distributions prior to analysis as, in the case of the history of Australian phytogeography, the validity of both biomes and historical areas have been called into question.
我们展示了规模最大的比较生物地理学分析,该分析完整覆盖了澳大利亚的地理区域(20个植物地理亚区域),采用了迄今已发表的澳大利亚大型植物类群(金合欢属、山龙眼属和桉属)最为完整的分子系统发育树。利用来自澳大拉西亚虚拟标本馆(AVH)和澳大利亚生物图谱(ALA)的分布数据,在澳大利亚植物区系中识别出了两组不同的区域:较年轻的温带、埃勒曼和季风生物群落,以及较古老的西南+西部、东南部和北部历史生物地理区域。分析表明,通过将数据分成两组,采用多数法或频率法来选择分类单元分布,得到了两个同样有效的结果。使用频率法的数据集发现了能解析澳大利亚生物群落模式的一般区域分支图,而如果去除广泛分布的分类单元(多数法,在单个亚区域之外出现次数超过50%),分析则恢复了历史生物地理区域。该研究强调了在分析之前处理分类单元分布时需要谨慎,因为就澳大利亚植物地理学的历史而言,生物群落和历史区域的有效性都受到了质疑。