Knowledge about the biogeographic affinities of the world's tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world's tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northernhemisphere forests.
|Original language||English (US)|
|Number of pages||6|
|Journal||Proceedings of the National Academy of Sciences of the United States of America|
|State||Published - Feb 20 2018|
Bibliographical noteFunding Information:
ACKNOWLEDGMENTS. This study benefited greatly from data contributed by Patricia Alvarez-Loayza, Ana Andrade, Peter Ashton, Julian Bayliss, Luis Bernacci, Lilian Blanc, J. Bogaert, Matt Bradford, Mireille Breuer Ndoundou Hockemba, C. De Cannière, Miguel Castillo, Eduardo Catharino, Connie Clark, David Clark, Deborah Clark, Gilles Dauby, Jean-Louis Doucet, Pedro Eisenlohr, Leandro Ferreira, Christine Fletcher, Geraldo Franco, Gabriella M. Fredriksson, Girirai, Nimal Gunatilleke, Terese Hart, Miriam van Heist, Zhila Hemati, M. A. Hernández-Ruedas, David Kenfack, Kanehiro Kitayama, Eileen Larney, Ieda Leao do Amaral, Jean-Remy Makana, Punchi Manage Saranga Amila Ruwan, Antti Marjokorpi, Olga Martha Montiel, Miguel Martínez-Ramos, Henrik Meilby, Jerome Millet, Cao Min, Kazuki Miyamoto, Xiaoxue Mo, Juan Carlos Montero, Badru Mugerwa, Pantaleo Munishi, Helen Murphy, Hidetoshi Nagamasu, David Newbery, Rueben Nilus, Meyner Nusalawo, Susana Ochoa-Gaona, Atila Oliveira, Navendu Page, Andrea Permana, Nigel Pitman, Jean Razafimahaimodison, Rocío Rojas, Hugo Romero, M. Z. Rozainah, Fernanda Santos, Manichanh Satdichanh, Lars Schmidt, Lila Nath Sharma, Kade Sidiyasa, Eduardo da Silva Pinheiro, Peguy Tchouto, Johanna Urtado, Renato Valencia, Luis Valenzuela, Rodolfo Vasquez, Thorsten Wiegand, Guadelupe Williams-Linera, Hansjoerg Woll, Tsuyoshi Yoneda, and Nicole Zweifel. We also acknowledge contributed financial support from the European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie Grant Agreement 660020, Instituto Bem Ambiental (IBAM), Myr Projetos Sustentáveis, IEF, and CNPq, CAPES FAPEMIG, German Research Foundation (DFG; Grants CRC 552, CU127/3-1, HO 3296/2-2, HO3296/4-1, and RU 816), UNAM-PAPIIT IN218416 and Semarnat-CONACYT 128136, Conselho Nacional de Desenvolvimento Científico e Tecnoloógico (CNPq, Brazil), Fundação Grupo Boticário de Proteção à Natureza/Brazil, PAPIIT-DGAPA-UNAM (Project IN-204215), National Geographic Society, National Foundation for Scientific and Technology Development Vietnam (Grant 106.11-2010.68), Operation Wallacea, and core funding for Crown Research Institutes from the New Zealand Ministry of Business, Innovation and Employment’s Science and Innovation Group. Some data in this publication were provided by the Tropical Ecology Assessment and Monitoring Network, a collaboration between Conservation International, the Missouri Botanical Garden, Smithsonian Institution, and Wildlife Conservation Society, and partially funded by these institutions, The Gordon and Betty Moore Foundation, and other donors.
© 2017 IEEE.
- Biogeographic legacies
- Forest classification
- Forest functional similarity
- Phylogenetic community distance
- Tropical forests