Biased-corrected richness estimates for the Amazonian tree flora.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Ter Steege, H; Prado, PI; Lima, RAFD; Pos, E; de Souza Coelho, L; de Andrade Lima Filho, D; Salomão, RP; Amaral, IL; de Almeida Matos, FD; Castilho, CV; Phillips, OL; Guevara, JE; de Jesus Veiga Carim, M; Cárdenas López, D; Magnusson, WE; Wittmann, F; Martins, MP; Sabatier, D; Irume, MV; da Silva Guimarães, JR; Molino, J-F; Bánki, OS; Piedade, MTF; Pitman, NCA; Ramos, JF; Monteagudo Mendoza, A; Venticinque, EM; Luize, BG; Núñez Vargas, P; Silva, TSF; de Leão Novo, EMM; Reis, NFC; Terborgh, J; Manzatto, AG; Casula, KR; Honorio Coronado, EN; Montero, JC; Duque, A; Costa, FRC; Castaño Arboleda, N; Schöngart, J; Zartman, CE; Killeen, TJ; Marimon, BS; Marimon-Junior, BH; Vasquez, R; Mostacedo, B; Demarchi, LO; Feldpausch, TR; Engel, J; Petronelli, P; Baraloto, C; Assis, RL; Castellanos, H; Simon, MF; de Medeiros, MB; Quaresma, A; Laurance, SGW; Rincón, LM; Andrade, A; Sousa, TR; Camargo, JL; Schietti, J; Laurance, WF; de Queiroz, HL; Nascimento, HEM; Lopes, MA; de Sousa Farias, E; Magalhães, JLL; Brienen, R; Aymard C, GA; Revilla, JDC; Vieira, ICG; Cintra, BBL; Stevenson, PR; Feitosa, YO; Duivenvoorden, JF; Mogollón, HF; Araujo-Murakami, A; Ferreira, LV; Lozada, JR; Comiskey, JA; de Toledo, JJ; Damasco, G; Dávila, N; Lopes, A; García-Villacorta, R; Draper, F; Vicentini, A; Cornejo Valverde, F; Lloyd, J; Gomes, VHF; Neill, D; Alonso, A; Dallmeier, F; de Souza, FC; Gribel, R; Arroyo, L; Carvalho, FA; de Aguiar, DPP; do Amaral, DD; Pansonato, MP; Feeley, KJ; Berenguer, E; Fine, PVA; Guedes, MC; Barlow, J; Ferreira, J; Villa, B; Peñuela Mora, MC; Jimenez, EM; Licona, JC; Cerón, C; Thomas, R; Maas, P; Silveira, M; Henkel, TW; Stropp, J; Paredes, MR; Dexter, KG; Daly, D; Baker, TR; Huamantupa-Chuquimaco, I; Milliken, W; Pennington, T; Tello, JS; Pena, JLM; Peres, CA; Klitgaard, B; Fuentes, A; Silman, MR; Di Fiore, A; von Hildebrand, P; Chave, J; van Andel, TR; Hilário, RR; Phillips, JF; Rivas-Torres, G; Noronha, JC; Prieto, A; Gonzales, T; de Sá Carpanedo, R; Gonzales, GPG; Gómez, RZ; de Jesus Rodrigues, D; Zent, EL; Ruschel, AR; Vos, VA; Fonty, É; Junqueira, AB; Doza, HPD; Hoffman, B; Zent, S; Barbosa, EM; Malhi, Y; de Matos Bonates, LC; de Andrade Miranda, IP; Silva, N; Barbosa, FR; Vela, CIA; Pinto, LFM; Rudas, A; Albuquerque, BW; Umaña, MN; Carrero Márquez, YA; van der Heijden, G; Young, KR; Tirado, M; Correa, DF; Sierra, R; Costa, JBP; Rocha, M; Vilanova Torre, E; Wang, O; Oliveira, AA; Kalamandeen, M; Vriesendorp, C; Ramirez-Angulo, H; Holmgren, M; Nascimento, MT; Galbraith, D; Flores, BM; Scudeller, VV; Cano, A; Ahuite Reategui, MA; Mesones, I; Baider, C; Mendoza, C; Zagt, R; Urrego Giraldo, LE; Ferreira, C; Villarroel, D; Linares-Palomino, R; Farfan-Rios, W; Casas, LF; Cárdenas, S; Balslev, H; Torres-Lezama, A; Alexiades, MN; Garcia-Cabrera, K; Valenzuela Gamarra, L; Valderrama Sandoval, EH; Ramirez Arevalo, F; Hernandez, L; Sampaio, AF; Pansini, S; Palacios Cuenca, W; de Oliveira, EA; Pauletto, D; Levesley, A; Melgaço, K; Pickavance, G

Published Date

  • June 23, 2020

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 10130 -

PubMed ID

  • 32576943

Pubmed Central ID

  • 32576943

Electronic International Standard Serial Number (EISSN)

  • 2045-2322

International Standard Serial Number (ISSN)

  • 2045-2322

Digital Object Identifier (DOI)

  • 10.1038/s41598-020-66686-3

Language

  • eng