| | |
| | |
Stat |
Members: 3643 Articles: 2'487'895 Articles rated: 2609
28 March 2024 |
|
| | | |
|
Article overview
| |
|
Network analysis identifies weak and strong links in a metapopulation system | Alejandro F. Rozenfeld
; Sophie Arnaud-Haond
; Emilio Hernandez-Garcia
; Victor M. Eguiluz
; Ester A. Serrao
; Carlos M. Duarte
; | Date: |
20 Oct 2008 | Abstract: | The identification of key populations shaping the structure and connectivity
of metapopulation systems is a major challenge in population ecology. The use
of molecular markers in the theoretical framework of population genetics has
allowed great advances in this field, but the prime question of quantifying the
role of each population in the system remains unresolved. Furthermore, the use
and interpretation of classical methods are still bounded by the need for a
priori information and underlying assumptions that are seldom respected in
natural systems. Network theory was applied to map the genetic structure in a
metapopulation system using microsatellite data from populations of a
threatened seagrass, Posidonia oceanica, across its whole geographical range.
The network approach, free from a priori assumptions and of usual underlying
hypothesis required for the interpretation of classical analysis, allows both
the straightforward characterization of hierarchical population structure and
the detection of populations acting as hubs critical for relaying gene flow or
sustaining the metapopulation system. This development opens major perspectives
in ecology and evolution in general, particularly in areas such as conservation
biology and epidemiology, where targeting specific populations is crucial. | Source: | arXiv, 0810.3488 | Services: | Forum | Review | PDF | Favorites |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser claudebot
|
| |
|
|
|
| News, job offers and information for researchers and scientists:
| |