Do phytogeographic patterns reveal biomes or biotic regions?

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.     

Comparative biogeography of Southeast Asia and the West Pacific region

The relationship between the areas of Southeast Asia and the West Pacific region is still debated because of their complex historical geology and the enormous diversity of taxa. Cladistic methods have previously been used to reconstruct the relationships between areas in the region but never with such a high number of unrelated taxa (35). We use a compilation of phylogenies to investigate area relationships among Southeast Asia and the West Pacific region, run the comparative analysis with LisBeth [based on three‐item analyses (3ia)] and compare the results with recently published geological reconstructions of the region. We discuss the relevance of such an approach to the interpretation of general pattern. The two questions addressed are: (1) is there an emerging common pattern; and (2) how to explain actual distributions of taxa in Southeast Asia and the West Pacific region. Three‐item analysis found 27 optimal trees. An intersection tree reconstructed from the common three‐area statements had an overall retention index of 84.8% and retrieved 13 nodes with two major branches compatible with a separation between Southeast Asia and the West Pacific region (i.e. congruent with some geological reconstructions). Any congruent patterns revealed by the combination of unrelated taxa should reflect a common cause. The extraction of information on area relationships contained in phylogenetic analyses of taxa consists of testing for area homologues. We obtained the tree from this region based on an empirical dataset which we hope will contribute to new insights into area classification in the region.     

LisBeth: New cladistics for phylogenetics and biogeography

Within phylogenetics, two methods are known to implement cladistics: parsimony or maximum parsimony (MP) and three-item analysis (3ia). Despite the lack of suitable software, 3ia is occasionally used in systematic, and more regularly, in historical biogeography. Here, we present LisBeth, the first and only phylogenetic/biogeographic program freely available that uses the 3ia approach and offer some insights into its theoretical propositions. LisBeth does not rely on the conventional taxon/character matrix. Instead, characters are represented as rooted trees. LisBeth performs 3ia analyses based on maximum congruence of three-item statements and calculates the intersection tree (which differs from usual consensus). In biogeography, it applies the transparent method to handle widespread taxa and implements paralogy-free subtree analysis to remove redundant distributions. For the sake of interoperability, LisBeth may import/export characters from/to matrix in NEXUS format, allowing comparison with other cladistic programs. LisBeth also imports phylogenetic characters from Xper² knowledge bases.