Trichome

Authors
Domingos Cardoso, Tiina Särkinen, Sara Alexander, André M Amorim, Volker Bittrich, Marcela Celis, Douglas C Daly, Pedro Fiaschi, Vicki A Funk, Leandro L Giacomin, Renato Goldenberg, Gustavo Heiden, João Iganci, Carol L Kelloff, Sandra Knapp, Haroldo Cavalcante de Lima, Anderson FP Machado, Rubens Manoel Dos Santos, Renato Mello-Silva, Fabián A Michelangeli, John Mitchell, Peter Moonlight, Pedro Luís Rodrigues de Moraes, Scott A Mori, Teonildes Sacramento Nunes, Terry D Pennington, José Rubens Pirani, Ghillean T Prance, Luciano Paganucci de Queiroz, Alessandro Rapini, Ricarda Riina, Carlos Alberto Vargas Rincon, Nádia Roque, Gustavo Shimizu, Marcos Sobral, João Renato Stehmann, Warren D Stevens, Charlotte M Taylor, Marcelo Trovó, Cássio Van Den Berg, Henk van der Werff, Pedro Lage Viana, Charles E Zartman, Rafaela Campostrini Forzza
Publication date
2017/10/3
Journal
Proceedings of the National Academy of Sciences
Volume
114
Issue
40
Pages
10695-10700
Publisher
National Academy of Sciences
Description
Recent debates on the number of plant species in the vast lowland rain forests of the Amazon have been based largely on model estimates, neglecting published checklists based on verified voucher data. Here we collate taxonomically verified checklists to present a list of seed plant species from lowland Amazon rain forests. Our list comprises 14,003 species, of which 6,727 are trees. These figures are similar to estimates derived from nonparametric ecological models, but they contrast strongly with predictions of much higher tree diversity derived from parametric models. Based on the known proportion of tree species in neotropical lowland rain forest communities as measured in complete plot censuses, and on overall estimates of seed plant diversity in Brazil and in the neotropics in general, it is more likely that tree diversity in the Amazon is closer to the lower estimates derived from nonparametric models. Much …
Total citations
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Scholar articles
D Cardoso, T Särkinen, S Alexander, AM Amorim… - Proceedings of the National Academy of Sciences, 2017

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