This research will explain and predict of the distribution of animal and plant species in the endangered yet megadiverse Brazilian Atlantic forest. The investigators will correlate biogeographic and environmental patterns across major clades in order to understand patterns in this biodiversity hotspot. The project will entail study of both climate and landscape, and their changes over the last 120,000 years. This information will enable understanding of how species have responded to repeated environmental shifts of the past. Data from Earth-orbiting satellites will be combined with meteorological data and paleoenvironmental information from the fossil pollen record and ancient precipitation data derived from the geochemistry of deposits found in caves. These data, combined with information on modern species ranges, genetic diversity, physiological tolerances, host-pathogen dynamics, and regional shifts in the composition of the biota will demonstrate how the biodiversity of the Atlantic forest evolved over time.

This study will enable the reconstruction of historical factors influencing current biodiversity and, given a range of climate change scenarios, permit the prediction of the future composition of biodiversity in the Atlantic forest or elsewhere. Forest areas of geological stability, physical connectivity, and higher genetic diversity will be identified so that forests or species under extinction threat can be conserved. In response to current concern about the value of ecosystem services and climate change, this study provides a model of how to predict biodiversity change. A travelling exhibit will reach out to commuters in São Paulo and New York. Collaborations among research groups in Brazil and the US is central to the project?s student training plan. The project also strengthens a minority-serving campus, ensuring that North-American students underrepresented in science are exposed to trans-disciplinary, international work.

National Science Foundation (NSF)
Division of Environmental Biology (DEB)
Application #
Program Officer
Katharina Dittmar
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
CUNY City College
New York
United States
Zip Code