A multidisciplinary framework for biodiversity prediction in the Brazilian Atlantic Forest hotspot

Authors

  • Cristina Y. Miyaki Universidade de São Paulo, Instituto de Biociências, Departamento de Genética e Biologia Evolutiva https://orcid.org/0000-0002-9708-9202
  • Francisco W. Cruz Universidade de São Paulo, Instituto de Geociências
  • Michael Hickerson City College of New York, CUNY Graduate Center, Program in Biology
  • Fabián A. Michelangeli New York Botanical Garden
  • Ricardo Pinto-da-Rocha Universidade de São Paulo, Instituto de Biociências, Departamento de Zoologia
  • Wayt Thomas New York Botanical Garden
  • Ana Carolina Carnaval City College of New York, CUNY Graduate Center, Program in Biology

Abstract

Abstract: We briefly describe selected results from our thematic project focused on the biodiversity of the Atlantic Forest (“AF BIOTA”), which was jointly funded by FAPESP’s BIOTA Program, the U.S. National Science Foundation Dimensions of Biodiversity Program, and the National Aeronautics and Space Administration (NASA). As one of the five most important hotspots of biodiversity in the world, the Atlantic Forest (AF) holds less than 16% of its vegetation cover, yet, amongst the hotspots, it still harbors one of the highest numbers of species, including endemics. By gathering specialists across multiple disciplines (biology, geology, engineering), we aimed to understand how this megabiodiversity was built through time, informing biodiversity science and conservation. Among the results, we trained 18 Master’s and 26 Ph.D. students, published more than 400 peer-reviewed papers that improved our knowledge about the forest’s biologic and climatic diversity and dynamics through time, developed new analytical methods, produced outreach videos and articles, and provided data to help define biodiversity conservation policies.

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Published

2022-01-01

How to Cite

Miyaki, C. Y., Cruz, F. W., Hickerson, M., Michelangeli, F. A., Pinto-da-Rocha, R., Thomas, W., & Carnaval, A. C. (2022). A multidisciplinary framework for biodiversity prediction in the Brazilian Atlantic Forest hotspot. Biota Neotropica, 22(spe). Retrieved from //www.biotaneotropica.org.br/BN/article/view/1942

Issue

Section

Thematic Reviews

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