Skip to main content

A comparison of a discovery-based and an event-based method of historical biogeography

Buy Article:

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Abstract:

Aim

The event-based method Dispersal-Vicariance Analysis (DIVA) is compared with the discovery-based method Brooks Parsimony analysis (BPA).Location

South-western USA, Mexico and northern Central America.Methods

Results of DIVA of phylogenetic trees for six clades of birds inhabiting seven areas in the south-western US, Mexico and northern Central America are compared with those of BPA for the same data set.Results

Both approaches identify the same vicariant elements but differ in the way they treat dispersal. DIVA places such elements in one general ‘dispersal’ category, while BPA identifies different forms of dispersal, including peripheral isolates speciation (speciation by dispersal), post-speciation dispersal, non-response to a vicariance event, secondary contact between congeners (and the potential for reinforcement completing speciation) and potential extinction resulting from competition between a resident and a colonizing congener.Main conclusions

BPA is more sensitive than DIVA with respect to the different possible manifestations of geographical dispersal. Despite substantial dispersal, avian communities in these areas manifest substantial historical structuring.

Keywords: Brooks Parsimony analysis (BPA); Dispersal-vicariance analysis (DIVA); discovery-based methods; dispersal; event-based methods; historical biogeography; vicariance

Document Type: Miscellaneous

Publication date: June 1, 2001

bsc/jbiog/2001/00000028/00000006/art00598
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more