EconPapers    
Economics at your fingertips  
 

A MODEL OF MACROEVOLUTION AS A BRANCHING PROCESS BASED ON INNOVATIONS

Stephanie Keller-Schmidt () and Konstantin Klemm ()
Additional contact information
Stephanie Keller-Schmidt: Bioinformatics, Institute of Computer Science, University Leipzig, Härtelstr. 16-18, 04107 Leipzig, Germany
Konstantin Klemm: Bioinformatics, Institute of Computer Science, University Leipzig, Härtelstr. 16-18, 04107 Leipzig, Germany

Advances in Complex Systems (ACS), 2012, vol. 15, issue 07, 1-16

Abstract: We introduce a model for the evolution of species triggered by generation of novel features and exhaustive combination with other available traits. Under the assumption that innovations are rare, we obtain a bursty branching process of speciations. Analysis of the trees representing the branching history reveals structures qualitatively different from those of random processes. For a tree withnleaves generated by the introduced model, the average distance of leaves from root scales as(logn)2to be compared tolognfor random branching. The mean values and standard deviations for the tree shape indices depth (Sackin index) and imbalance (Colless index) of the model are compatible with those of real phylogenetic trees from databases. Earlier models, such as the Aldous' branching (AB) model, show a larger deviation from data with respect to the shape indices.

Keywords: Macroevolution; phylogenetic tree; branching model; imbalance; depth scaling; Colless index (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525912500439
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:15:y:2012:i:07:n:s0219525912500439

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525912500439

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:acsxxx:v:15:y:2012:i:07:n:s0219525912500439