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Abstract Detail



Biogeography

Ruiz Vargas, Natalia [1].

Predicting new populations of Pitcairnia domingensis L.B. Sm. in Hispaniola.

Pitcairnia domingensis is a bromeliad endemic to the island of Hispaniola with terrestrial habit that grows on limestone. It has a disjunct distribution between the Northeast coast of the island and the Sierra de Neiba Mountains in the Southwest of the Dominican Republic. The populations grow in two very different environments; in the North, they grow on cliffs facing the ocean and the populations in the mountains grow in tropical montane humid forests. However, maps from the United States Geological Survey shows that both locations correspond to rocks from the Post-Eocene Marine Strata. Using environmental data from BioClim, QGIS and MaxEnt softwares, I modelled the distribution of the species in search for possible new populations. The MaxEnt analysis shows three regions for which there are no recorded collections: 1) To the East of Duarte and María Trinidad Sánchez Province in the Dominican Republic, 2) North coast of the Nord and Nord-Est Departments, and 3) Sud Department in the Tiburon Peninsula in Haiti. Of these three, the areas in northern Haiti correspond to the same rock formation as the currently known populations. The jackknife analysis indicates that the bioclimatic variables with the highest predictive powers are: precipitation of driest month, precipitation seasonality, precipitation of driest quarter, and precipitation of coldest quarter.


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1 - University of Illinois at Chicago, Biological Sciences, 845 West Taylor Street, SEL1016, Chicago, Illinois, 60607, USA

Keywords:
none specified

Presentation Type: Poster
Session: P, Biogeography
Location: Grand Ballroom - Exhibit Hall/Mayo Civic Center
Date: Monday, July 23rd, 2018
Time: 5:30 PM This poster will be presented at 6:15 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: PBG006
Abstract ID:608
Candidate for Awards:None


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