English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Towards a mechanistic understanding of linguistic diversity

Gavin, M., Botero, C. A., Bowern, C., Colwell, R. K., Dunn, M., Dunn, R. R., et al. (2013). Towards a mechanistic understanding of linguistic diversity. Bioscience, 63, 524-535. doi:10.1525/bio.2013.63.7.6.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Gavin, Michael, Author
Botero, Carlos A., Author
Bowern, Claire, Author
Colwell, Robert K., Author
Dunn, Michael, Author
Dunn, Robert R., Author
Gray, Russell D., Author
Kirby, Kathryn R., Author
McCarter, Joe, Author
Powell, Adam1, Author                 
Rangel, Thiago F., Author
Steppe, John R., Author
Trautwein, Michelle, Author
Verdolin, Jennifer L., Author
Yanega, Gregor, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: Linguistic diversity, biogeography and ecology, geographic patterns, research methods, languages
 Abstract: Our species displays remarkable linguistic diversity. While the uneven distribution of this diversity demands explanation, the drivers of these patterns have not been conclusively determined. We address this issue in two steps. First, we review previous empirical studies that have suggested environmental, geographical, and socio-cultural drivers of linguistic diversification. However, contradictory results and methodological variation make it difficult to draw general conclusions. Second, we outline a program for future research. We suggest that future analyses should account for interactions among causal factors, lack of spatial and phylogenetic independence of data, and transitory patterns. Recent analytical advances in biogeography and evolutionary biology, such as simulation modeling of diversity patterns, hold promise for testing four key mechanisms of language diversification proposed here: neutral change, population movement, contact, and
selection. Future modeling approaches should also evaluate how the outcomes of these processes are influenced by demography, environmental heterogeneity, and time.

Details

show
hide
Language(s): eng - English
 Dates: 2013-02-262013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1525/bio.2013.63.7.6
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Bioscience
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: American Institute of Biological Sciences
Pages: - Volume / Issue: 63 Sequence Number: - Start / End Page: 524 - 535 Identifier: ISSN: 0006-3568