Biased-corrected richness estimates for the Amazonian tree flora

Ter Steege, Hans, Prado, Paulo I., Lima, Renato A. F. de, Pos, Edwin, de Souza Coelho, Luiz, de Andrade Lima Filho, Diogenes, Salomão, Rafael P., Amaral, Iêda Leão, de Almeida Matos, Francisca Dionízia, Castilho, Carolina V., Phillips, Oliver L., Guevara, Juan Ernesto, de Jesus Veiga Carim, Marcelo, Cárdenas López, Dairon, Magnusson, William E., Wittmann, Florian, Martins, Maria Pires, Sabatier, Daniel, Irume, Mariana Victória, da Silva Guimarães, José Renan, Molino, Jean-François, Banki, Olaf S., Piedade, Maria Teresa Fernandez, Pitman, Nigel C.A., Ramos, José Ferreira, Monteagudo Mendoza, Abel, Venticinque, Eduardo Martins, Luize, Bruno Garcia, Núñez Vargas, Percy, Silva, Thiago Sanna Freire, de Leão Novo, Evlyn Márcia Moraes, Reis, Neidiane Farias Costa, Terborgh, John, Manzatto, Angelo Gilberto, Casula, Katia Regina, Honorio Coronado, Euridice N., Montero, Juan Carlos, Duque, Alvaro, Costa, Flávia R.C., Castaño Arboleda, Nicolás, Schöngart, Jochen, Zartman, Charles Eugene, Killeen, Timothy J., Marimon, Beatriz S., Marimon-Junior, Ben Hur, Vásquez, Rodolfo, Mostacedo, Bonifacio, Demarchi, Layon O., Feldpausch, Ted R., Engel, Julien, Petronelli, Pascal, Baraloto, Christopher, Assis, Rafael L., Castellanos, Hernán, Simon, Marcelo Fragomeni, de Medeiros, Marcelo Brilhante, Quaresma, Adriano, Laurance, Susan G.W., Rincón, Lorena M., Andrade, Ana, Sousa, Thaiane R., Camargo, José Luís, Schietti, Juliana, Laurance, William F., de Queiroz, Helder Lima, Nascimento, Henrique Eduardo Mendonça, Lopes, Maria Aparecida, de Sousa Farias, Emanuelle, Magalhães, José Leonardo Lima, Brienen, Roel, Aymard C., Gerardo A., Revilla, Juan David Cardenas, Vieira, Ima Célia Guimarães, Cintra, Bruno Barçante Ladvocat, Stevenson, Pablo R., Feitosa, Yuri Oliveira, Duivenvoorden, Joost F., Mogollón, Hugo F., Araujo-Murakami, Alejandro, Ferreira, Leandro Valle, Lozada, José Rafael, Comiskey, James A., de Toledo, José Julio, Damasco, Gabriel, Dávila, Nállarett, Lopes, Aline, Garcia-Villacorta, Roosevelt, Draper, Freddie, Vicentini, Alberto, Cornejo Valverde, Fernando, Lloyd, Jon, Gomes, Vitor H.F., Neill, David, Alonso, Alfonso, Dallmeier, Francisco, de Souza, Fernanda Coelho, Gribel, Rogerio, Arroyo, Luzmila, Carvalho, Fernanda Antunes, de Aguiar, Daniel Praia Portela, do Amaral, Dário Dantas, Pansonato, Marcelo Petratti, Feeley, Kenneth J., Berenguer, Erika, Fine, Paul V.A., Guedes, Marcelino Carneiro, Barlow, Jos, Ferreira, Joice, Villa, Boris, Peñuela Mora, Maria Cristina, Jiménez, Eliana M., Licona, Juan Carlos, Cerón, Carlos, Thomas, Raquel, Maas, Paul, Silveira, Marcos, Henkel, Terry W., Stropp, Juliana, Paredes, Marcos Ríos, Dexter, Kyle G., Daly, Doug, Baker, Tim R., Huamantupa-Chuquimaco, Isau, Milliken, William, Pennington, Toby, Tello, J. Sebastien, Pena, José Luis Marcelo, Peres, Carlos A., Klitgaard, Bente, Fuentes, Alfredo, Silman, Miles R., Di Fiore, Anthony, von Hildebrand, Patricio, Chave, Jerome, Van Andel, Tinde R., Hilário, Renato Richard, Phillips, Juan Fernando, Rivas-Torres, Gonzalo, Noronha, Janaína Costa, Prieto, Adriana, Gonzales, Therany, de Sá Carpanedo, Rainiellene, Gonzales, George Pepe Gallardo, Gómez, Ricardo Zárate, de Jesus Rodrigues, Domingos, Zent, Egleé L., Ruschell, Ademir R., Vos, Vincent Antoine, Fonty, Émile, Junqueira, André Braga, Doza, Hilda Paulette Dávila, Hoffman, Bruce, Zent, Stanford, Barbosa, Edelcilio Marques, Malhi, Yadvinder, de Matos Bonates, Luiz Carlos, de Andrade Miranda, Ires Paula, Silva, Natalino, Barbosa, Flávia Rodrigues, Vela, César I.A., Pinto, Linder Felipe Mozombite, Rudas, Agustín, Albuquerque, Bianca Weiss, Umaña, Maria Natalia, Carrero Márquez, Yrma Andreina, Van Der Heijden, Geertje, Young, Kenneth R., Tirado, Milton, Correa, Diego F., Sierra, Rodrigo, Costa, Janaina Barbosa Pedrosa, Rocha, Maira, Vilanova Torre, Emilio, Wang, Ophelia, Oliveira, Alexandre A., Kalamandeen, Michelle, Vriesendorp, Corine, Ramírez-angulo, Hirma, Holmgren, Milena, Nascimento, Marcelo Trindade, Galbraith, David, Flores, Bernardo Monteiro, Scudeller, Veridiana Vizoni, Cano, Angela, Ahuite Reategui, Manuel Augusto, Mesones, Italo, Baider, Claudia, Mendoza, Casimiro, Zagt, Roderick, Urrego Giraldo, Ligia Estela, Ferreira, Cid, Villarroel, Daniel, Linares-Palomino, Reynaldo, Farfan, William, Farfan-Rios, William, Casas, Luisa Fernanda, Cárdenas, Sasha, Balslev, Henrik, Torres-lezama, Armando, Alexiades, Miguel N., Garcia-cabrera, Karina, Valenzuela Gamarra, Luis, Valderrama Sandoval, Elvis H., Ramirez Arevalo, Freddy, Hernandez, Lionel, Sampaio, Adeilza Felipe, Pansini, Susamar, Palacios Cuenca, Walter, de Oliveira, Edmar Almeida, Pauletto, Daniela, Levesley, Aurora, Melgaço, Karina, and Pickavance, Georgia (2020) Biased-corrected richness estimates for the Amazonian tree flora. Scientific Reports, 10. 10130.

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Abstract

Amazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show that the species abundance distribution of Amazonia is best approximated by a logseries with aggregated individuals, where aggregation increases with rarity. By averaging several methods to estimate total richness, we confirm that over 15,000 tree species are expected to occur in Amazonia. We also show that using ten times the number of plots would result in an increase to just ~50% of those 15,000 estimated species. To get a more complete sample of all tree species, rigorous field campaigns may be needed but the number of trees in Amazonia will remain an estimate for years to come.

Item ID: 65222
Item Type: Article (Research - C1)
ISSN: 2045-2322
Copyright Information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre-ative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not per-mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Funders: PVE - MEC/MCTI/CAPES/CNPq/FAPs, National Council for Scientific and Technological Development (CNPq), São Paulo Funding Agency (FAPESP), European Union's Horizon 2020 Research and Innovation Program (EU), WWF Brasil - The Body Shop, Agence Nationale de la Recherche (ANR)
Projects and Grants: PVE - MEC/MCTI/CAPES/CNPq/FAPs grant 407232/2013-3, CPNq grant 310885/2017-5, FAPESP grant #09/53413/5, EU grant agreement 795114, FAPESP 95/3058-0, CRS 068/96, Investissement d’Avenir CEBA: ANR-10-LABX-25-01
Date Deposited: 20 Jan 2021 01:11
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 100%
SEO Codes: 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960899 Flora, Fauna and Biodiversity of Environments not elsewhere classified @ 100%
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