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Abstract Detail



Bryology and Lichenology

Boudart, Piper [1], Trotta, Lauren [2], Jabaily, Rachel [3].

Community phylogenetics of Rocky Mountain lichens.

Community phylogenetic approaches have been used to infer ecological interactions that shape community assemblages, on the basis of evolutionary relatedness. The phylogenetic structure of a community has often been used to arbitrate between mechanisms of community assemblage. Communities whose species are phylogenetically clustered are inferred to be shaped by environmental filtering. Conversely, communities whose species are phylogenetically over-dispersed are inferred to be shaped by competitive exclusion. As both environmental filters and competitive pressures act upon the phenotypes of organisms, studies of community phylogenies often incorporate analyses of functional traits. The present study focuses on the lichen flora of the Rocky Mountains. This geographic region offers many compelling elevational gradients and an array of highly varied habitats. Here, we analyze subsamples of the Rocky Mountain lichen flora in order to determine how the phylogenetic structure of communities differs among varying environmental conditions. Included are analyses of two functional traits of lichens that have commonly been studied—growth form and reproductive mode.


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1 - Colorado College, 14 East Cache La Poudre Street, Colorado Springs, CO, 80903, USA
2 - University Of Florida, Wildlife Ecology And Conservation, PO Box 110430, Gainesville, FL, 32611, United States
3 - Colorado College, 14 E Cache La Poudre St, Colorado Spgs, CO, 80903-3243, United States

Keywords:
Phylogenetics
Lichens
community ecology
Rocky Mountains.

Presentation Type: Poster
Session: P, Bryology and Lichenology Posters
Location: Arizona Ballroom/Starr Pass
Date: Monday, July 29th, 2019
Time: 5:30 PM This poster will be presented at 5:30 pm. The Poster Session runs from 5:30 pm to 7:00 pm. Posters with odd poster numbers are presented at 5:30 pm, and posters with even poster numbers are presented at 6:15 pm.
Number: PBL001
Abstract ID:253
Candidate for Awards:None


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