Symposium Participants: Diana Outlaw

Examples

I and my collaborators have applied these techniques to several systems, Catharus thrushes (Outlaw et al. 2003), the avian family Motacillidae (Voelker and Outlaw submitted), Turdus robins (Voelker and Outlaw unpublished data), and Ficedula flycatchers (Outlaw unpublished data). I began asking questions about the evolution of migratory behavior within Catharus, where I specifically addressed Cox’s (1985) model. As I learned more about available techniques, the questions asked became more complicated as evidenced by the Motacillidae study.

Here, I will limit discussion to the completed studies, Catharus and Motacillidae.

Catharus

The specific objectives within the Catharus study were to:

While I have already presented most of the Catharus data (Figures 2, 3, and 5), I will now discuss how I provided support for Cox’s (1985) model through the integration of the techniques described above (Figure 6). The ancestral area reconstructions support a tropical origin for the genus, at about six million years ago, with several range expansions of sedentary species into the subtropics. Three independent speciation events, which are only evident because of a molecular phylogeny, at five, three and >one million years ago, led to the evolution of migratory species (“dispersal” into Eastern and Western North America from Mexico and/or Central America ). The entirely theoretical portion involves these migratory species returning to their ancestral home as temperate climates decline, where they are unable to winter probably due to competition with sedentary species. Hence, they must overstep these sedentary species, and winter in South America . This is consistent with wintering distributions (but see Outlaw et al. 2003 for a discussion of Catharus guttatus), and with ancestral areas.

Motacillidae

Within the Motacillidae, our specific objectives, using previously published phylogenies of Anthus (Voelker 1999), Motacilla (Voelker 2002), and Motacillid genera (Voelker and Edwards 1998), were to:

A phylogeny that includes all genera and the majority of species within the family facilitated these objectives. Figure 7 presents the ancestral character state reconstruction (Maximum Likelihood) for both migration and habitat (essentially buffered and non-buffered), which provides a starting point for actual tests, both parsimony- and likelihood-based. Using these ancestral character states we asked several questions to address our second objective (and briefly report the results here; Table 1):

Thus, we found sedentary behavior and open habitat to be ancestral, but no relationship (regardless of algorithm) between migration and habitat. However, we found significant, positive results of the same set of questions/tests when looking at breeding latitude and migration (Table 1). In fact, Chesser (1998) and many others, have suggested the importance of latitude in affecting the distribution of migratory species. Many would suggest that these results seem intuitive, which they are, but even intuitive relationships should be rigorously tested.

 

Table 1. Results of evolutionary tests (From Voelker and Outlaw submitted)

Independent/Dependent Variable

Type of Test

P Value

Habitat/Migration

Concentrated changes (Maximum Parsimony)

0.455

Habitat/Migration

Correlated evolution (Maximum Likelihood)

0.18

Habitat/Migration

Conditional evolution (Maximum Likelihood)

0.40

Latitude/Migration

Concentrated changes (Maximum Parsimony)

<0.01

Latitude/Migration

Correlated evolution (Maximum Likelihood)

<0.01

Latitude/Migration

Conditional evolution (Maximum Likelihood)

<0.01

 

An additional aspect of this study is its hierarchical nature: we performed the same set of tests on each genus, groups of genera, and on the whole family. We did this particularly to examine taxonomic-level effects on the results of the analyses. We found the results to be consistent, which provides support for the approach itself at a variety of levels.

Summary of Approach

To summarize the methodology as applied to actual examples, let us revisit Motacillidae in a slightly different context (Figure 8). Figure 8 attempts to capture the integrative nature of the approach. Once again, I begin with a molecular phylogeny, which provides the foundation for evolutionary tests. I then examine both ancestral character states and trait evolution, whether I am simply interested in migration, or exploring a range of potentially related traits – those explicit factors that may drive migration in the first place.

Then, I add another layer by exploring the relationship between migration and the physical place of species origin (ancestral geographic area). In this example (Figure 8), many migratory taxa are of a southern origin (as are most taxa in the family), with dispersal (probably via the evolution of migration) into northern breeding grounds.

Let us briefly return to the utility of molecular phylogenies. With complete (all species) phylogenies, particularly of speciose genera, I can potentially quantify the role of behavior in speciation rate using various measures of tree shape (Agapow and Purvis 2002; Purvis et al. 2002). Migratory species may be less prone to speciation, particularly if there is little philopatry on the breeding grounds, but migration may lead to higher speciation rates as new habitats are colonized and genetic isolation occurs on the breeding grounds. Obviously, the roles of behavior in speciation require the biogeographical and ecological contexts of those “speciating,” but the methods I propose directly consider these contexts.

References

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