Cited by 140Ecology and Vegetation Dynamics StudiesForest ecology and managementBotany and Plant Ecology Studies

Biased-corrected richness estimates for the Amazonian tree flora

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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 +205 more·2020·Scientific Reports

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.

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  • Amazonian forests are home to more than 15,000 tree species, of which 1% are dominant and the other 99% are mostly rare.

    “Amazonian forests are home to more than 15,000 tree species, of which 1% are dominant and the other 99% are mostly rare107.”

    From Critical transitions in the Amazon forest system (2024) · cites this paper as [107]

    The Discussion estimates 15,874 Amazonian tree species and describes hyperdominance by a few abundant species. It does not establish that exactly 1% of species are dominant or that the other 99% are mostly rare. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 35

  1. [1]ter Steege H Hyperdominance in the Amazonian tree flora Science 2013 342 1243092 10.1126/science.1243092 24136971 · DOI · Paper page
  2. [2]Fung T Villain L Chisholm RA Analytical formulae for computing dominance from species-abundance distributions Journal of Theoretical Biology 2015 386 147 158 10.1016/j.jtbi.2015.09.011 26409166 · DOI
  3. [3]Ricklefs RE How tree species fill geographic and ecological space in eastern North America Annals of Botany 2015 115 949 959 10.1093/aob/mcv029 25851139 PMC4407066 · DOI
  4. [4]Cardoso D Amazon plant diversity revealed by a taxonomically verified species list Proceedings of the National Academy of Sciences 2017 114 10695 10700 10.1073/pnas.1706756114 PMC5635885 28923966 · DOI
  5. [5]Harte J Kitzes J Inferring regional-scale species diversity from small-plot censuses Plos One 2015 10 e0117527 10.1371/journal 25706536 PMC4338294 · DOI
  6. [6]ter Steege H Estimating species richness in hyper-diverse large tree communities Ecology 2017 98 1444 1454 10.1002/ecy.1813 28419434 · DOI
  7. [7]ter Steege H The discovery of the Amazonian tree flora with an updated checklist of all known tree taxa Scientific Reports 2016 6 29549 10.1038/srep29549 27406027 PMC4942782 · DOI
  8. [8]ter Steege H Towards a dynamic list of Amazonian tree species Scientific Reports 2019 9 3501 10.1038/s41598-019-40101-y 30837572 PMC6401171 · DOI
  9. [10]Ulrich W Ollik M Limits to the estimation of species richness: the use of relative abundance distributions Diversity and Distributions 2005 11 265 273 10.1111/j.1366-9516.2005.00127.x · DOI
  10. [11]Baldridge E Harris DJ Xiao X White EP An extensive comparison of species-abundance distribution models PeerJ 2016 4 e2823 10.7717/peerj.2823 28028483 PMC5183127 · DOI
  11. [12]Tovo A Upscaling species richness and abundances in tropical forests Science Advances 2017 3 e1701438 10.1126/sciadv.1701438 29057324 PMC5647133 · DOI
  12. [13]Bulmer MG On fitting the Poisson lognormal distribution to species abundance data Biometrics 1974 30 101 110 10.2307/2529621 · DOI
  13. [14]Engen S Lande R Walla T DeVries PJ Analyzing spatial structure of communities using the two‐dimensional Poisson lognormal species abundance model The American Naturalist 2002 160 60 73 10.1086/340612 18707499 · DOI
  14. [15]Duque A Insights into regional patterns of Amazonian forest structure, diversity, and dominance from three large terra-firme forest dynamics plots Biodiversity and Conservation 2017 26 669 686 10.1007/s10531-016-1265-9 · DOI
  15. [16]Chao A Colwell RK Lin C-W Gotelli NJ Sufficient sampling for asymptotic minimum species richness estimators Ecology 2009 90 1125 1133 10.1890/07-2147.1 19449706 · DOI
  16. [17]Branco M Figueiras FG Cermeño P Assessing the efficiency of non-parametric estimators of species richness for marine microplankton Journal of Plankton Research 2018 40 230 243 10.1093/plankt/fby005 · DOI
  17. [18]Ulrich, W., Kusumoto, B., Fattorini, S. & Kubota, Y. Factors influencing the precision of species richness estimation in Japanese vascular plants. Diversity and Distributions, 10.1111/ddi.13049 (2020). · DOI
  18. [19]Condit R Spatial patterns in the distribution of tropical tree species Science 2000 288 1414 10.1126/science.288.5470.1414 10827950 · DOI
  19. [20]Plotkin JB Muller-Landau HC Sampling the species composition of a landscape Ecology 2002 83 3344 3356 10.1890/0012-9658 · DOI
  20. [21]Plotkin JB Species-area curves, spatial aggregation, and habitat specialization in tropical forests Journal of Theoretical Biology 2000 207 81 99 10.1006/jtbi.2000.2158 11027481 · DOI
  21. [22]ter Steege H Estimating the global conservation status of over 15,000 Amazonian tree species Science Advances 2015 1 e1500936 10.1126/sciadv.1500936 26702442 PMC4681336 · DOI · Paper page
  22. [23]McGill BJ Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework Ecology Letters 2007 10 995 1015 10.1111/j.1461-0248.2007.01094.x 17845298 · DOI
  23. [24]Green JL Plotkin JB A statistical theory for sampling species abundances Ecology Letters 2007 10 1037 1045 10.1111/j.1461-0248.2007.01101.x 17803677 · DOI
  24. [25]Hanski I Dynamics of regional distribution: the core and satellite species hypothesis Oikos 1982 87 210 221 10.2307/3544021 · DOI
  25. [26]Magurran AE Henderson PA Explaining the excess of rare species in natural species abundance distributions Nature 2003 422 714 716 10.1038/nature01547 12700760 · DOI
  26. [27]Baker TR Maximising Synergy among Tropical Plant Systematists, Ecologists, and Evolutionary Biologists Trends in Ecology & Evolution 2017 32 258 267 10.1016/j.tree.2017.01.007 28214038 · DOI
  27. [28]Hopkins MJG Are we close to knowing the plant diversity of the Amazon? Anais da Academia Brasileira de Ciências 2019 91 e20190396 10.1590/0001-3765201920190396. 31531554 · DOI
  28. [30]Kunin WE Upscaling biodiversity: estimating the species–area relationship from small samples Ecological Monographs 2018 88 170 187 10.1002/ecm.1284 · DOI
  29. [31]Jabot F Chave J Analyzing tropical forest tree species abundance distributions using a nonneutral model and through approximate Bayesian inference The American Naturalist 2011 178 E37 47 10.1086/660829 21750378 · DOI
  30. [33]Soares-Filho, B. S. et al. Modelling conservation in the Amazon basin. Nature440, 520–523, doi:http://www.nature.com/nature/journal/v440/n7083/suppinfo/nature04389_S1.html (2006). 16554817
  31. [36]Fisher RA Corbet AS Williams CB The relation between the number of species and the number of individuals in a random sample of an animal population Journal of Animal Ecology 1943 12 42 58 10.2307/1411 · DOI
  32. [37]Saether BE Engen S Grøtan V Species diversity and community similarity in fluctuating environments: parametric approaches using species abundance distributions The Journal of Animal Ecology 2013 82 721 738 10.1111/1365-2656.12068 23578202 · DOI
  33. [38]Pielou, E. C. Mathematical Ecology. (John Wiley and Sons, 1977).
  34. [39]Preston FW The commonness, and rarity of species Ecology 1948 29 254 283 10.2307/1930989 · DOI
  35. [42]Csilléry K François O Blum MG B. abc: an R package for approximate Bayesian computation (ABC) Methods in Ecology and Evolution 2012 3 475 479 10.1111/j.2041-210X.2011.00179.x 20488578 · DOI

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Authors
ter Steege, H., Prado, P. I., Lima, R. A. F. D., Pos, E., de Souza Coelho, L., de Andrade Lima Filho, D., Salomão, R. P., Amaral, I. L., de Almeida Matos, F. D., Castilho, C. V., Phillips, O. L., Guevara, J. E., de Jesus Veiga Carim, M., Cárdenas López, D., Magnusson, W. E., Wittmann, F., Martins, M. P., Sabatier, D., Irume, M. V., da Silva Guimarães, J. R., Molino, J.-F., Bánki, O. S., Piedade, M. T. F., Pitman, N. C. A., Ramos, J. F., Monteagudo Mendoza, A., Venticinque, E. M., Luize, B. G., Núñez Vargas, P., Silva, T. S. F., de Leão Novo, E. M. M., Reis, N. F. C., Terborgh, J., Manzatto, A. G., Casula, K. R., Honorio Coronado, E. N., Montero, J. C., Duque, A., Costa, F. R. C., Castaño Arboleda, N., Schöngart, J., Zartman, C. E., Killeen, T. J., Marimon, B. S., Marimon-Junior, B. H., Vasquez, R., Mostacedo, B., Demarchi, L. O., Feldpausch, T. R., Engel, J., Petronelli, P., Baraloto, C., Assis, R. L., Castellanos, H., Simon, M. F., de Medeiros, M. B., Quaresma, A., Laurance, S. G. W., Rincón, L. M., Andrade, A., Sousa, T. R., Camargo, J. L., Schietti, J., Laurance, W. F., de Queiroz, H. L., Nascimento, H. E. M., Lopes, M. A., de Sousa Farias, E., Magalhães, J. L. L., Brienen, R., Aymard C., G. A., Revilla, J. D. C., Vieira, I. C. G., Cintra, B. B. L., Stevenson, P. R., Feitosa, Y. O., Duivenvoorden, J. F., Mogollón, H. F., Araujo-Murakami, A., Ferreira, L. V., Lozada, J. R., Comiskey, J. A., de Toledo, J. J., Damasco, G., Dávila, N., Lopes, A., García-Villacorta, R., Draper, F., Vicentini, A., Cornejo Valverde, F., Lloyd, J., Gomes, V. H. F., Neill, D., Alonso, A., Dallmeier, F., de Souza, F. C., Gribel, R., Arroyo, L., Carvalho, F. A., de Aguiar, D. P. P., do Amaral, D. D., Pansonato, M. P., Feeley, K. J., Berenguer, E., Fine, P. V. A., Guedes, M. C., Barlow, J., Ferreira, J., Villa, B., Peñuela Mora, M. C., Jimenez, E. M., Licona, J. C., Cerón, C., Thomas, R., Maas, P., Silveira, M., Henkel, T. W., Stropp, J., Paredes, M. R., Dexter, K. G., Daly, D., Baker, T. R., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Tello, J. S., Pena, J. L. M., Peres, C. A., Klitgaard, B., Fuentes, A., Silman, M. R., Di Fiore, A., von Hildebrand, P., Chave, J., van Andel, T. R., Hilário, R. R., Phillips, J. F., Rivas-Torres, G., Noronha, J. C., Prieto, A., Gonzales, T., de Sá Carpanedo, R., Gonzales, G. P. G., Gómez, R. Z., de Jesus Rodrigues, D., Zent, E. L., Ruschel, A. R., Vos, V. A., Fonty, É., Junqueira, A. B., Doza, H. P. D., Hoffman, B., Zent, S., Barbosa, E. M., Malhi, Y., de Matos Bonates, L. C., de Andrade Miranda, I. P., Silva, N., Barbosa, F. R., Vela, C. I. A., Pinto, L. F. M., Rudas, A., Albuquerque, B. W., Umaña, M. N., Carrero Márquez, Y. A., van der Heijden, G., Young, K. R., Tirado, M., Correa, D. F., Sierra, R., Costa, J. B. P., Rocha, M., Vilanova Torre, E., Wang, O., Oliveira, A. A., Kalamandeen, M., Vriesendorp, C., Ramirez-Angulo, H., Holmgren, M., Nascimento, M. T., Galbraith, D., Flores, B. M., Scudeller, V. V., Cano, A., Ahuite Reategui, M. A., Mesones, I., Baider, C., Mendoza, C., Zagt, R., Urrego Giraldo, L. E., Ferreira, C., Villarroel, D., Linares-Palomino, R., Farfan-Rios, W., Farfan-Rios, W., Casas, L. F., Cárdenas, S., Balslev, H., Torres-Lezama, A., Alexiades, M. N., Garcia-Cabrera, K., Valenzuela Gamarra, L., Valderrama Sandoval, E. H., Ramirez Arevalo, F., Hernandez, L., Sampaio, A. F., Pansini, S., Palacios Cuenca, W., de Oliveira, E. A., Pauletto, D., Levesley, A., Melgaço, K., & Pickavance, G.
Affiliations
  • Universidade de São Paulo (BR)
  • Naturalis Biodiversity Center (NL)
  • Utrecht University (NL)
  • Museu Paraense Emílio Goeldi (BR)
  • Instituto Nacional de Pesquisas da Amazônia (BR)
  • Embrapa (BR)
  • University of Leeds (GB)
  • Field Museum of Natural History (US)
  • Karlsruhe Institute of Technology (DE)
  • Centre National de la Recherche Scientifique (FR)
  • Universidade Federal do Rio Grande do Norte (BR)
  • Universidade Estadual Paulista (Unesp) (BR)
  • University of Stirling (GB)
  • Universidade Federal de Rondônia (BR)
  • Florida Museum of Natural History (US)
  • Universidade do Estado de Mato Grosso (BR)
  • Gabriel René Moreno Autonomous University (BO)
  • University of Oslo (NO)
  • Universidad Nacional Experimental de Guayana (VE)
  • Universidade Federal do Pará (BR)
  • Embrapa Amazônia Oriental (BR)
  • Universidad de Los Andes (CO)
  • University of Amsterdam (NL)
  • Universidad de Los Andes (VE)
  • National Park Service (US)
  • University of California, Berkeley (US)
  • Universidade Estadual de Campinas (UNICAMP) (BR)
  • Universidade de Brasília (BR)
  • Imperial College London (GB)
  • Centro Universitário do Pará (BR)
  • Universidad Estatal Amazónica (EC)
  • Smithsonian Conservation Biology Institute (US)
  • Universidade Federal de Minas Gerais (BR)
  • University of Miami (US)
  • Lancaster University (GB)
  • Instituto Sinchi (CO)
  • Bolivian Forest Research Institute (BO)
  • Central University of Ecuador (EC)
  • Iwokrama International Centre for Rainforest Conservation and Development (GY)
  • Universidade Federal do Acre (BR)
  • Cal Poly Humboldt (US)
  • Universidade Federal de Alagoas (BR)
  • Royal Botanic Garden Edinburgh (GB)
  • National University of Saint Anthony the Abbot in Cuzco (PE)
  • Royal Botanic Gardens, Kew (GB)
  • Missouri Botanical Garden (US)
  • University of East Anglia (GB)
  • Wake Forest University (US)
  • Universidade Federal do Amapá (BR)
  • Universidade Federal de Mato Grosso (BR)
  • Universidad Nacional de Colombia (CO)
  • Instituto de Investigaciones de la Amazonía Peruana (PE)
  • Universidad Autónoma del Beni (BO)
  • Universitat Autònoma de Barcelona (ES)
  • Instituto Venezolano de Investigaciones Científicas (VE)
  • University of Oxford (GB)
  • Universidade Federal Rural da Amazônia (BR)
  • The University of Texas at Austin (US)
  • Northern Arizona University (US)
  • Wageningen University & Research (NL)
  • State University of Norte Fluminense (BR)
  • Universidade Federal do Amazonas (BR)
  • Universidad Mayor de San Simón (BO)
  • Tropenbos International (NL)
  • Aarhus University (DK)
  • University of Kent (GB)
  • Universidade Federal do Oeste do Pará (BR)
Corresponding author
Prado, Paulo I.
ORCID
Venue
Scientific Reports
Published
2020-06-23
Volume
10
Issue
1
Pages
10130-10130
ISSN
2045-2322 (ISSN-L)
OpenAlex
W3036296561
Cited by
140
References
1
Citations by year
2026: 17 · 2025: 22 · 2024: 32 · 2023: 19 · 2022: 21 · 2021: 23 · 2020: 6
FWCI
10.75
Type
journal article
Language
en
Open access
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Funders
  • National Science Foundation
  • Smithsonian Institution
  • Gordon and Betty Moore Foundation
  • University of Missouri
  • Aarhus Universitet
  • Centre of Excellence for Environmental Decisions, Australian Research Council
  • University of Washington
  • Northern Arizona University
  • Universidade Federal Rural da Amazônia
  • Universidade Federal do Amazonas
  • University of Cambridge
  • University of Oxford
  • European Commission (795114)
  • Agence Nationale de la Recherche (ANR-10-LABX-0025)
  • University of Queensland
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (09/53413-5)
  • Universidad Nacional de Colombia
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico
  • Instituto Venezolano de Investigaciones Científicas
  • Universitat Autònoma de Barcelona
  • Universidade Federal de Mato Grosso do Sul
  • Smithsonian Tropical Research Institute
  • McDonnell Center for Systems Neuroscience
  • Natural Environment Research Council (NE/B503384/1, NE/I02982X/1, NE/M022021/1, NE/D01025X/1, NE/I028122/1, NE/D005590/1, NE/F005806/1, NE/N011570/1, NE/J023418/1)
  • Wageningen University and Research
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Forest ecology and management
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Botany and Plant Ecology Studies
Keywords
species richness estimation, species abundance distribution, forest plots, tree species diversity
MeSH terms
Brazil, Classification, Trees, Biodiversity, Rivers, Forests

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