The biogeography of Malagasy ants: The combination of new ant data and a distribution model based on remote sensing data.
Donat Agosti and Sassan S. Saatchi, Jet Propulsion Laboratory, Pasadena, CA Brian L. Fisher, California Academy of Sciences, San Francisco, CA
Over the last years Madagascar became one of the best sampled place for ants in the world. Standard sampling protocols coupled with highly accurate location data allow detailed quantitative analyses. Environmental variables are increasingly available from remote sensors (Satellites and Space Shuttle missions), allowing the calculation of predictive models with higher spatial accuracy, and based on accurate near real time land cover data sets. The presentation will focus on a brief description of the underlying model, environmental layers and representative distribution patterns of ants. The ant data sets and collecting methodology is based on published data and methodologies, and thus will only briefly be mentioned.
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