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Abstract Detail


Biogeography

Londoño, Camilo [1], Madriñán, Santiago [1].

Páramo plant diversity and spatial turnover.

The Páramo is dissected high elevation ecosystem which behaves according to MacArthur and Wilson's theory of Island Biogeography in two respects: the size of the island determines the number of species it contains and the distance between islands can predict the number of endemics. Geographic speciation, species migration, and niche diversity have contributed to the evolution of its flora. Using data on the spatial distribution of the angiosperm Páramo flora, we address three basic questions about the spatial structure of assemblages: (1) is there a relationship between species richness (alpha diversity) and spatial turnover of species (beta diversity)? (2) do highly diverse localities have fewer species in common with neighboring areas than low diverse ones?, and (3) is there a correlation between the size of area and species richness for the Páramos, according to a species-area relationship (SAR)? For measures of spatial turnover, we found a positive relationship with species richness. Higher richness areas were found to have more species in common with neighboring areas. The areas of Páramo that contain different phytogeographical elements in their communities have high levels of species turnover and endemism areas product of local speciation. The logarithmic SAR fitted better than the power SAR overall, and fitted significantly better in areas with high richness and turnover; however there are areas that do not conform to the logarithmic SAR.

Broader Impacts:


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Laboratorio de Botánica y Sistemática


1 - Universidad de los Andes, Departamento de Ciencias Biológicas, Laboratorio de Botánica y Sistemática, Apartado Aéreo 4976, Bogotá, DC, Colombia

Keywords:
Paramo
Island Biogeography
Spatial turnover
Beta Diversity
Species Area Relationship
SAR
Colombia.

Presentation Type: Poster:Posters for Topics
Session: P
Location: Hall A/Convention Center
Date: Monday, August 2nd, 2010
Time: 5:30 PM
Number: PBG002
Abstract ID:188


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