Kaukapakapa, Auckland, New Zealand. .
CNRS UMR 7205 (CNRS-MNHN-SU-EPHE-UA), 57 Rue Cuvier CP39 75005 Paris, France..
Zootaxa. 2021 Nov 18;5068(4):451-484. doi: 10.11646/zootaxa.5068.4.1.
Biotectonics is an approach to historical biogeography based on the analysis of independently derived biological and tectonic data, which we demonstrate using the island of Sulawesi as an example. We describe the tectonic development of Sulawesi and discuss the relationship between tectonic models and phylogenetic hypotheses. We outline the problem of interpreting areagrams based on single phylogenies and stress the importance of combining all available data into a general areagram. We analysed the distributions of Sulawesi area of endemism endemics (AEEs) using 30 published phylogenies, which were converted into paralogy-free taxon-area cladograms using the programme LisBeth (Zarageta-Bagalis et al. 2012) from which Adams consensus trees were constructed using PAUP (Swofford 2002). The results of our analyses show that the relationship between the areas of endemism is congruent with the terrane history of the island. A further 79 phylogenies of Sulawesi species with extralimital distributions were analysed to determine area relationships of Sulawesi within the broader Indo-Pacific region. We demonstrate the utility of data partitioning when dealing with areas that are geologically and biologically composite by showing that analysing Asian and Australasian elements of the Sulawesi biota separately produced general areagrams that avoid artifice and are interpretable in the light of current tectonic models.
生物地层学是一种基于独立衍生的生物和构造数据进行历史生物地理学分析的方法,我们以苏拉威西岛为例进行了演示。我们描述了苏拉威西岛的构造发展,并讨论了构造模型与系统发育假说之间的关系。我们概述了基于单个系统发育解释地理图的问题,并强调了将所有可用数据综合到一个通用地理图中的重要性。我们使用 30 篇已发表的系统发育论文分析了苏拉威西亚特有区系(AEE)的分布情况,这些系统发育论文使用 LisBeth 程序(Zarageta-Bagalis 等人,2012 年)转化为无并系区系的分类群-区系分支图,然后使用 PAUP(Swofford,2002 年)构建 Adams 共识树。我们分析的结果表明,特有区系的面积关系与该岛的地层历史一致。进一步分析了 79 个具有越界分布的苏拉威西亚物种的系统发育,以确定苏拉威西岛在更广泛的印度-太平洋地区的面积关系。我们通过展示当处理地质和生物复合区域时,数据分区的实用性,证明了分析亚洲和澳大利亚苏拉威西生物区系的元素分别产生的通用地理图可以避免人为因素,并根据当前的构造模型进行解释。