phyloregion: R package for biogeographical regionalization and macroecology

被引:99
作者
Daru, Barnabas H. [1 ]
Karunarathne, Piyal [1 ]
Schliep, Klaus [2 ]
机构
[1] Texas A&M Univ Corpus Christi, Dept Life Sci, Corpus Christi, TX 78412 USA
[2] Graz Univ Technol, Inst Computat Biotechnol, Graz, Styria, Austria
来源
METHODS IN ECOLOGY AND EVOLUTION | 2020年 / 11卷 / 11期
关键词
biogeography; bioinformatics; biomes; conservation; phylogenetics; regionalization; software; BETA-DIVERSITY; PATTERNS; PHYLOGENIES; REVEALS; REGIONS; BIRDS;
D O I
10.1111/2041-210X.13478
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Biogeographical regionalization is the classification of regions in terms of their biota and is key to our understanding of the ecological and historical drivers affecting species distribution in macroecological or large-scale conservation studies. However, despite the mass production of species distributions and phylogenetic data, statistical and computational infrastructure to successfully incorporate, manipulate and analyse such massive amounts of data had not been fully developed. Here, we presentphyloregion, a statistical package for the analysis of biogeographical regionalization and macroecology in the R computing environment, tailored for mega phylogenies and macroecological datasets of ever-increasing size and complexity. Compared to available packages,phyloregionis several times faster and allocates less memory than other packages for analysis of alpha diversity (including phylogenetic diversity, phylogenetic endemism and evolutionary distinctiveness and global endangerment) and beta diversity (including cluster analysis, determining optimal number of clusters and evolutionary distinctiveness of regions). We demonstrate the scalability of the package to large datasets with comprehensive phylogenies and global distribution maps of squamate reptiles (amphisbaenians, lizards and snakes), and show that different phyloregions differ strongly in evolutionary distinctiveness across scales. Visualization tools allow graphical exploration of the generated patterns of biogeographical regionalization and macroecology in geographical space. Ultimately,phyloregionwill facilitate rapid biogeographical analyses that will accommodate the ongoing mass production of species occurrence records and phylogenetic datasets at any scale and for any taxonomic group into completely reproducible R workflows.
引用
收藏
页码:1483 / 1491
页数:9
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