Weirauch Christiane, Seltmann Katja C, Schuh Randall T, Schwartz Michael D, Johnson Christine, Feist Mary Ann, Soltis Pamela S
Department of Entomology, University of California Riverside, 900 University Avenue, Riverside, CA, 92521, USA.
Division of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, NY, 10024, USA.
Cladistics. 2017 Jun;33(3):279-294. doi: 10.1111/cla.12169. Epub 2016 Jul 15.
Areas of endemism are essential first hypotheses in investigating historical biogeography, but there is a surprising paucity of such hypotheses for the Nearctic region. Miridae, the plant bugs, are an excellent taxon to study in this context, because this group combines high species diversity, often small distribution ranges, a history of modern taxonomic revisions, and comprehensive electronic data capture and data cleaning that have resulted in an exceptionally error-free geospatial data set. Many Miridae are phytophagous and feed on only one or a small number of host plant species. The programs ndm/vndm are here used on plant bug and plant data sets to address two main objectives: (i) identify areas of endemism for plant bugs based on parameters used in a recent study that focused on Nearctic mammals; and (ii) discuss hypotheses on areas of endemism based on plant bug distributions in the context of areas identified by their host plant species. Given the narrow distribution ranges of many species of Miridae, the analytical results allow for tests of the prediction that areas of endemism for Miridae are smaller and more numerous, especially in the Western Nearctic, than are those of their host plants. Analyses of the default plant bug data set resulted in 45 areas of endemism, 35 of them north of Mexico and many located in the Western Nearctic; areas in the Nearctic are more numerous and smaller than those identified by mammals. The host plant data set resulted in ten areas of endemism, and even though the size range of areas is similar between the Miridae and plant data sets, the average area size is smaller in the Miridae data set. These results allow for the conclusion that the Miridae indeed present a valuable model system to investigate areas of endemism in the Nearctic.
特有现象分布区是研究历史生物地理学的重要初始假设,但令人惊讶的是,关于新北区的此类假设却非常匮乏。盲蝽科昆虫(即植食蝽象)是在这种背景下进行研究的绝佳类群,因为该类群具有物种多样性高、分布范围通常较小、有现代分类修订史以及全面的电子数据采集和数据清理等特点,从而形成了一个异常无差错的地理空间数据集。许多盲蝽科昆虫是植食性的,仅以一种或少数几种寄主植物为食。在此,我们使用程序ndm/vndm对植食蝽象和植物数据集进行分析,以实现两个主要目标:(i)基于近期一项针对新北界哺乳动物的研究所使用的参数,确定植食蝽象的特有现象分布区;(ii)在由其寄主植物物种所确定的区域背景下,讨论基于植食蝽象分布的特有现象分布区假设。鉴于许多盲蝽科昆虫物种的分布范围狭窄,分析结果使得我们能够检验这样一个预测,即与它们的寄主植物相比,盲蝽科昆虫的特有现象分布区更小且数量更多,尤其是在新北区西部。对默认的植食蝽象数据集进行分析后得到了45个特有现象分布区,其中35个位于墨西哥以北,且许多分布在新北区西部;新北区的分布区比由哺乳动物所确定的分布区数量更多且面积更小。寄主植物数据集得出了10个特有现象分布区,尽管盲蝽科昆虫和植物数据集的分布区面积范围相似,但盲蝽科昆虫数据集的平均面积更小。这些结果使我们能够得出结论,盲蝽科昆虫确实是研究新北区特有现象分布区的一个有价值的模型系统。