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University of Arizona Semester Project, ATMO 529 Brad Christoffersen

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Presentation on theme: "University of Arizona Semester Project, ATMO 529 Brad Christoffersen"— Presentation transcript:

1 New World palm (Arecaceae) species richness in relation to mean climate variables
University of Arizona Semester Project, ATMO 529 Brad Christoffersen December 05, 2007

2 Outline Background & Motivation Methods of Analysis Upcoming Results
Summary

3 Background and Motivation
A little about palms: Family: Arecaceae Diverse habitats and hence morphologically diverse Key terms: Species Richness (or Alpha diversity) – The number of species in a given area. Beta diversity – Change in species composition across a landscape from one area to another. Why study species diversity in a spatial context? Insight into how limiting factors control evolutionary processes of speciation and extinction. Provides basis for development of conservation areas. Extensive body of theory from community ecology.

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5 Methods of Analysis Palms dataset: Climate data: Plant rooting depth:
What: 1x1 degree grid of presence/absence data for 547 species of palms. Spatial Extent: New World Calculated species richness by grid cell. Climate data: What: CRU TS x0.5 degree grid of monthly precip and average temperature Spatial Extent: Brazilian Amazon Plant rooting depth: What: Maximum Plant Available Water (PAW), from Kleidon et al. 2002

6 Methods of Analysis Palms dataset (Henderson et al. 2005):
Structure into presence/absence for the 547 species. Convert to relative abundance (0-1) EOF analysis of the matrix. Examine spatial pattern correlation among climate and dominant species range modes.

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9 References Henderson, A., G. Galeano, and R. Bernal Field Guide to the Palms of the Americas. Princeton University Press, Princeton, New Jersey, U.S.A. R Development Core Team (2007). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN , URL Fields Development Team (2006). fields: Tools for Spatial Data. National Center for Atmospheric Research, Boulder, CO. URL Ter Braak, C. J. F. (1986) Canonical correspondence analysis: A new eigenvector technique for multivariate direct gradient analysis. Ecology 67:


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