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1. Functional composition of the Amazonian tree flora and forests.

Author

Ter Steege H, Poorter L, Aguirre-Gutiérrez J, Fortunel C, Magnusson WE, Phillips OL, Pos E, Luize BG, Baraloto C, Guevara JE, Endara MJ, Baker TR, Umaña MN, van der Sande M, Pombo MM, McGlone M, Draper FC, do Amaral IL, Coelho LS, Wittmann F, Almeida Matos FD, Lima Filho DA, Salomão RP, Castilho CV, Carim MJV, Piedade MTF, Sabatier D, Molino JF, Demarchi LO, Cardenas Revilla JD, Schöngart J, Irume MV, Martins MP, da Silva Guimarães JR, Ramos JF, Bánki OS, Quaresma AC, Pitman NCA, Peres CA, de Jesus Rodrigues D, Hawes JE, Almeida EJ, Barbosa LF, Cavalheiro L, Santos MCVD, Leão Novo EMM, Vargas PN, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Honorio Coronado EN, Monteagudo Mendoza A, Carlos Montero J, De Souza CR, Oliveira MVN, Costa FRC, Engel J, Feldpausch TR, Castaño Arboleda N, Durgante FM, Zartman CE, Killeen TJ, Marimon BS, Marimon-Junior BH, Vasquez R, Mostacedo B, Assis RL, Amaral DDD, Castellanos H, Householder JE, de Medeiros MB, Simon MF, Andrade A, Camargo JL, Laurance SGW, Laurance WF, Rincón LM, Mori GB, Schietti J, Sousa TR, de Sousa Farias E, Lopes MA, Magalhães JLL, Nascimento HEM, de Queiroz HL, Vasconcelos CC, Aymard C GA, Brienen R, Sousa Assis PL, Gris D, Ribeiro KAF, Stevenson PR, Araujo-Murakami A, Cintra BBL, Feitosa YO, Mogollón HF, Silman MR, Ferreira LV, Lozada JR, Comiskey JA, de Toledo JJ, Damasco G, García-Villacorta R, Lopes A, Rios Paredes M, Vicentini A, Vieira ICG, Cornejo Valverde F, Alonso A, Arroyo L, Dallmeier F, Gomes VHF, Huari WN, Neill D, Peñuela Mora MC, de Aguiar DPP, Barbosa FR, Bredin YK, de Sá Carpanedo R, Carvalho FA, de Souza FC, Feeley KJ, Gribel R, Haugaasen T, Noronha JC, Pansonato MP, Pipoly JJ 3rd, Barlow J, Berenguer E, Silva IBD, Ferreira J, Ferreira MJ, Fine PVA, Guedes MC, Levis C, Carlos Licona J, Zegarra BEV, Vos VA, Cerón C, Fonty É, Henkel TW, Huamantupa-Chuquimaco I, Silveira M, Stropp J, Thomas R, Daly D, Dexter KG, Milliken W, Molina GP, Pennington T, Albuquerque BW, Campelo W, Claros AF, Klitgaard B, Pena JLM, Montenegro LT, Tello JS, Vriesendorp C, Chave J, Di Fiore A, Hilário RR, de Oliveira Pereira L, Phillips JF, Rivas-Torres G, van Andel TR, Hildebrand PV, Balee W, Barbosa EM, Bonates LCM, Dávila Doza HP, Zárate Gómez R, Gonzales GPG, Gonzales T, Hoffman B, Junqueira AB, Malhi Y, Miranda IPA, Pinto LFM, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Zent EL, Zent S, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Flores BM, Galbraith D, Holmgren M, Kalamandeen M, Lobo G, Mori Vargas T, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Rocha M, Scudeller VV, Heijden GV, Torre EV, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Linares-Palomino R, Mendoza C, Mesones I, Parada GA, Torres-Lezama A, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Fortier RP, Garcia-Cabrera K, Hernandez L, Cuenca WP, Pansini S, Pauletto D, Arevalo FR, Sampaio AF, Valderrama Sandoval EH, Gamarra LV, Levesley A, and Pickavance G

Subjects
Brazil, Biomass, Plant Leaves growth & development, Plant Leaves physiology, Soil chemistry, Seeds growth & development, Trees physiology, Trees growth & development, Forests
Abstract

Plants cope with the environment by displaying large phenotypic variation. Two spectra of global plant form and function have been identified: a size spectrum from small to tall species with increasing stem tissue density, leaf size, and seed mass; a leaf economics spectrum reflecting slow to fast returns on investments in leaf nutrients and carbon. When species assemble to communities it is assumed that these spectra are filtered by the environment to produce community level functional composition. It is unknown what are the main drivers for community functional composition in a large area such as Amazonia. We use 13 functional traits, including wood density, seed mass, leaf characteristics, breeding system, nectar production, fruit type, and root characteristics of 812 tree genera (5211 species), and find that they describe two main axes found at the global scale. At community level, the first axis captures not only the 'fast-slow spectrum', but also most size-related traits. Climate and disturbance explain a minor part of this variance compared to soil fertility. Forests on poor soils differ largely in terms of trait values from those on rich soils. Trait composition and soil fertility exert a strong influence on forest functioning: biomass and relative biomass production., Competing Interests: Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Published
2025
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2. The biogeography of the Amazonian tree flora.

Author

Luize BG, Tuomisto H, Ekelschot R, Dexter KG, Amaral ILD, Coelho LS, Matos FDA, Lima Filho DA, Salomão RP, Wittmann F, Castilho CV, Carim MJV, Guevara JE, Phillips OL, Magnusson WE, Sabatier D, Cardenas Revilla JD, Molino JF, Irume MV, Martins MP, Guimarães JRDS, Ramos JF, Bánki OS, Piedade MTF, Cárdenas López D, Pitman NCA, Demarchi LO, Schöngart J, de Leão Novo EMM, Núñez Vargas P, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Honorio Coronado EN, Mendoza AM, Montero JC, Costa FRC, Feldpausch TR, Quaresma AC, Castaño Arboleda N, Zartman CE, Killeen TJ, Marimon BS, Marimon BH, Vasquez R, Mostacedo B, Assis RL, Baraloto C, do Amaral DD, Engel J, Petronelli P, Castellanos H, de Medeiros MB, Simon MF, Andrade A, Camargo JL, Laurance WF, Laurance SGW, Rincón LM, Schietti J, Sousa TR, Mori GB, Farias ES, Lopes MA, Magalhães JLL, Nascimento HEM, de Queiroz HL, Vasconcelos CC, Aymard C GA, Brienen R, Stevenson PR, Araujo-Murakami A, Cintra BBL, Baker TR, Feitosa YO, Mogollón HF, Duivenvoorden JF, Peres CA, Silman MR, Ferreira LV, Lozada JR, Comiskey JA, de Toledo JJ, Damasco G, Dávila N, Draper FC, García-Villacorta R, Lopes A, Vicentini A, Valverde FC, Alonso A, Arroyo L, Dallmeier F, Gomes VHF, Jimenez EM, Neill D, Peñuela Mora MC, Noronha JC, de Aguiar DPP, Barbosa FR, Bredin YK, Carpanedo RS, Carvalho FA, Souza FC, Feeley KJ, Gribel R, Haugaasen T, Hawes JE, Pansonato MP, Pipoly JJ 3rd, Paredes MR, Rodrigues DJ, Barlow J, Berenguer E, da Silva IB, Ferreira MJ, Ferreira J, Fine PVA, Guedes MC, Levis C, Licona JC, Villa Zegarra BE, Vos VA, Cerón C, Durgante FM, Fonty É, Henkel TW, Householder JE, Huamantupa-Chuquimaco I, Silveira M, Stropp J, Thomas R, Daly D, Milliken W, Molina GP, Pennington T, Vieira ICG, Albuquerque BW, Campelo W, Fuentes A, Klitgaard B, Pena JLM, Tello JS, Vriesendorp C, Chave J, Di Fiore A, Hilário RR, Pereira LO, Phillips JF, Rivas-Torres G, van Andel TR, von Hildebrand P, Balee W, Barbosa EM, Bonates LCM, Dávila Doza HP, Zárate Gómez R, Gonzales T, Gallardo Gonzales GP, Hoffman B, Junqueira AB, Malhi Y, Miranda IPA, Pinto LFM, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Zent S, Zent EL, Endara MJ, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Monteiro Flores B, Galbraith D, Holmgren M, Kalamandeen M, Lobo G, Torres Montenegro L, Nascimento MT, Oliveira AA, Pombo MM, Ramirez-Angulo H, Rocha M, Scudeller VV, Umaña MN, van der Heijden G, Vilanova Torre E, Vargas TM, Ahuite Reategui MA, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Parada GA, Torres-Lezama A, Urrego Giraldo LE, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Fortier RP, Garcia-Cabrera K, Hernandez L, Palacios Cuenca W, Pansini S, Pauletto D, Ramirez Arevalo F, Sampaio AF, Valderrama Sandoval EH, Valenzuela Gamarra L, Hirota M, Palma-Silva C, and Ter Steege H

Subjects
Brazil, Biodiversity, Forests, Soil chemistry, Geography, Phylogeography, Trees
Abstract

We describe the geographical variation in tree species composition across Amazonian forests and show how environmental conditions are associated with species turnover. Our analyses are based on 2023 forest inventory plots (1 ha) that provide abundance data for a total of 5188 tree species. Within-plot species composition reflected both local environmental conditions (especially soil nutrients and hydrology) and geographical regions. A broader-scale view of species turnover was obtained by interpolating the relative tree species abundances over Amazonia into 47,441 0.1-degree grid cells. Two main dimensions of spatial change in tree species composition were identified. The first was a gradient between western Amazonia at the Andean forelands (with young geology and relatively nutrient-rich soils) and central-eastern Amazonia associated with the Guiana and Brazilian Shields (with more ancient geology and poor soils). The second gradient was between the wet forests of the northwest and the drier forests in southern Amazonia. Isolines linking cells of similar composition crossed major Amazonian rivers, suggesting that tree species distributions are not limited by rivers. Even though some areas of relatively sharp species turnover were identified, mostly the tree species composition changed gradually over large extents, which does not support delimiting clear discrete biogeographic regions within Amazonia., (© 2024. The Author(s).)

Published
2024
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3. One sixth of Amazonian tree diversity is dependent on river floodplains.

Author

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

Subjects
Brazil, Forests, Biodiversity, Trees, Rivers, Floods
Abstract

Amazonia's floodplain system is the largest and most biodiverse on Earth. Although forests are crucial to the ecological integrity of floodplains, our understanding of their species composition and how this may differ from surrounding forest types is still far too limited, particularly as changing inundation regimes begin to reshape floodplain tree communities and the critical ecosystem functions they underpin. Here we address this gap by taking a spatially explicit look at Amazonia-wide patterns of tree-species turnover and ecological specialization of the region's floodplain forests. We show that the majority of Amazonian tree species can inhabit floodplains, and about a sixth of Amazonian tree diversity is ecologically specialized on floodplains. The degree of specialization in floodplain communities is driven by regional flood patterns, with the most compositionally differentiated floodplain forests located centrally within the fluvial network and contingent on the most extraordinary flood magnitudes regionally. Our results provide a spatially explicit view of ecological specialization of floodplain forest communities and expose the need for whole-basin hydrological integrity to protect the Amazon's tree diversity and its function., (© 2024. The Author(s).)

Published
2024
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4. Consistent patterns of common species across tropical tree communities.

Author

Cooper DLM, Lewis SL, Sullivan MJP, Prado PI, Ter Steege H, Barbier N, Slik F, Sonké B, Ewango CEN, Adu-Bredu S, Affum-Baffoe K, de Aguiar DPP, Ahuite Reategui MA, Aiba SI, Albuquerque BW, de Almeida Matos FD, Alonso A, Amani CA, do Amaral DD, do Amaral IL, Andrade A, de Andrade Miranda IP, Angoboy IB, Araujo-Murakami A, Arboleda NC, Arroyo L, Ashton P, Aymard C GA, Baider C, Baker TR, Balinga MPB, Balslev H, Banin LF, Bánki OS, Baraloto C, Barbosa EM, Barbosa FR, Barlow J, Bastin JF, Beeckman H, Begne S, Bengone NN, Berenguer E, Berry N, Bitariho R, Boeckx P, Bogaert J, Bonyoma B, Boundja P, Bourland N, Boyemba Bosela F, Brambach F, Brienen R, Burslem DFRP, Camargo JL, Campelo W, Cano A, Cárdenas S, Cárdenas López D, de Sá Carpanedo R, Carrero Márquez YA, Carvalho FA, Casas LF, Castellanos H, Castilho CV, Cerón C, Chapman CA, Chave J, Chhang P, Chutipong W, Chuyong GB, Cintra BBL, Clark CJ, Coelho de Souza F, Comiskey JA, Coomes DA, Cornejo Valverde F, Correa DF, Costa FRC, Costa JBP, Couteron P, Culmsee H, Cuni-Sanchez A, Dallmeier F, Damasco G, Dauby G, Dávila N, Dávila Doza HP, De Alban JDT, de Assis RL, De Canniere C, De Haulleville T, de Jesus Veiga Carim M, Demarchi LO, Dexter KG, Di Fiore A, Din HHM, Disney MI, Djiofack BY, Djuikouo MK, Do TV, Doucet JL, Draper FC, Droissart V, Duivenvoorden JF, Engel J, Estienne V, Farfan-Rios W, Fauset S, Feeley KJ, Feitosa YO, Feldpausch TR, Ferreira C, Ferreira J, Ferreira LV, Fletcher CD, Flores BM, Fofanah A, Foli EG, Fonty É, Fredriksson GM, Fuentes A, Galbraith D, Gallardo Gonzales GP, Garcia-Cabrera K, García-Villacorta R, Gomes VHF, Gómez RZ, Gonzales T, Gribel R, Guedes MC, Guevara JE, Hakeem KR, Hall JS, Hamer KC, Hamilton AC, Harris DJ, Harrison RD, Hart TB, Hector A, Henkel TW, Herbohn J, Hockemba MBN, Hoffman B, Holmgren M, Honorio Coronado EN, Huamantupa-Chuquimaco I, Hubau W, Imai N, Irume MV, Jansen PA, Jeffery KJ, Jimenez EM, Jucker T, Junqueira AB, Kalamandeen M, Kamdem NG, Kartawinata K, Kasongo Yakusu E, Katembo JM, Kearsley E, Kenfack D, Kessler M, Khaing TT, Killeen TJ, Kitayama K, Klitgaard B, Labrière N, Laumonier Y, Laurance SGW, Laurance WF, Laurent F, Le TC, Le TT, Leal ME, Leão de Moraes Novo EM, Levesley A, Libalah MB, Licona JC, Lima Filho DA, Lindsell JA, Lopes A, Lopes MA, Lovett JC, Lowe R, Lozada JR, Lu X, Luambua NK, Luize BG, Maas P, Magalhães JLL, Magnusson WE, Mahayani NPD, Makana JR, Malhi Y, Maniguaje Rincón L, Mansor A, Manzatto AG, Marimon BS, Marimon-Junior BH, Marshall AR, Martins MP, Mbayu FM, de Medeiros MB, Mesones I, Metali F, Mihindou V, Millet J, Milliken W, Mogollón HF, Molino JF, Mohd Said MN, Monteagudo Mendoza A, Montero JC, Moore S, Mostacedo B, Mozombite Pinto LF, Mukul SA, Munishi PKT, Nagamasu H, Nascimento HEM, Nascimento MT, Neill D, Nilus R, Noronha JC, Nsenga L, Núñez Vargas P, Ojo L, Oliveira AA, de Oliveira EA, Ondo FE, Palacios Cuenca W, Pansini S, Pansonato MP, Paredes MR, Paudel E, Pauletto D, Pearson RG, Pena JLM, Pennington RT, Peres CA, Permana A, Petronelli P, Peñuela Mora MC, Phillips JF, Phillips OL, Pickavance G, Piedade MTF, Pitman NCA, Ploton P, Popelier A, Poulsen JR, Prieto A, Primack RB, Priyadi H, Qie L, Quaresma AC, de Queiroz HL, Ramirez-Angulo H, Ramos JF, Reis NFC, Reitsma J, Revilla JDC, Riutta T, Rivas-Torres G, Robiansyah I, Rocha M, Rodrigues DJ, Rodriguez-Ronderos ME, Rovero F, Rozak AH, Rudas A, Rutishauser E, Sabatier D, Sagang LB, Sampaio AF, Samsoedin I, Satdichanh M, Schietti J, Schöngart J, Scudeller VV, Seuaturien N, Sheil D, Sierra R, Silman MR, Silva TSF, da Silva Guimarães JR, Simo-Droissart M, Simon MF, Sist P, Sousa TR, de Sousa Farias E, de Souza Coelho L, Spracklen DV, Stas SM, Steinmetz R, Stevenson PR, Stropp J, Sukri RS, Sunderland TCH, Suzuki E, Swaine MD, Tang J, Taplin J, Taylor DM, Tello JS, Terborgh J, Texier N, Theilade I, Thomas DW, Thomas R, Thomas SC, Tirado M, Toirambe B, de Toledo JJ, Tomlinson KW, Torres-Lezama A, Tran HD, Tshibamba Mukendi J, Tumaneng RD, Umaña MN, Umunay PM, Urrego Giraldo LE, Valderrama Sandoval EH, Valenzuela Gamarra L, Van Andel TR, van de Bult M, van de Pol J, van der Heijden G, Vasquez R, Vela CIA, Venticinque EM, Verbeeck H, Veridiano RKA, Vicentini A, Vieira ICG, Vilanova Torre E, Villarroel D, Villa Zegarra BE, Vleminckx J, von Hildebrand P, Vos VA, Vriesendorp C, Webb EL, White LJT, Wich S, Wittmann F, Zagt R, Zang R, Zartman CE, Zemagho L, Zent EL, and Zent S

Subjects
Biodiversity, Africa, Asia, Southeastern, Forests, Trees anatomy & histology, Trees classification, Trees growth & development, Tropical Climate
Abstract

Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations 1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories 7 , we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees., (© 2024. The Author(s).)

Published
2024
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5. Mapping density, diversity and species-richness of the Amazon tree flora.

Author

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

Subjects
Forests, Soil, Temperature, Trees, RNA, Long Noncoding
Abstract

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution., (© 2023. The Author(s).)

Published
2023
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6. Biased-corrected richness estimates for the Amazonian tree flora.

Author

Ter Steege H, Prado PI, Lima RAF, 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 JF, 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, 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, and Pickavance G

Subjects
Brazil, Biodiversity, Classification methods, Forests, Rivers, Trees classification
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.

Published
2020
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7. Scaling issues of neutral theory reveal violations of ecological equivalence for dominant Amazonian tree species.

Author

Pos E, Guevara JE, Molino JF, Sabatier D, Bánki OS, Pitman NCA, Mogollón HF, García-Villacorta R, Neill D, Phillips OL, Cerón C, Ríos Paredes M, Núñez Vargas P, Dávila N, Fiore AD, Rivas-Torres G, Thomas-Caesar R, Vriesendorp C, Young KR, Tirado M, Wang O, Sierra R, Mesones I, Zagt R, Vasquez R, Ahuite Reategui MA, Palacios Cuenca W, Valderrama Sandoval EH, and Ter Steege H

Subjects
Ecosystem, Models, Biological, Species Specificity, Biodiversity, Ecology, Trees
Abstract

Neutral models are often used as null models, testing the relative importance of niche versus neutral processes in shaping diversity. Most versions, however, focus only on regional scale predictions and neglect local level contributions. Recently, a new formulation of spatial neutral theory was published showing an incompatibility between regional and local scale fits where especially the number of rare species was dramatically under-predicted. Using a forward in time semi-spatially explicit neutral model and a unique large-scale Amazonian tree inventory data set, we show that neutral theory not only underestimates the number of rare species but also fails in predicting the excessive dominance of species on both regional and local levels. We show that although there are clear relationships between species composition, spatial and environmental distances, there is also a clear differentiation between species able to attain dominance with and without restriction to specific habitats. We conclude therefore that the apparent dominance of these species is real, and that their excessive abundance can be attributed to fitness differences in different ways, a clear violation of the ecological equivalence assumption of neutral theory., (© 2019 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd.)

Published
2019
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8. Species Distribution Modelling: Contrasting presence-only models with plot abundance data.

Author

Gomes VHF, IJff SD, Raes N, Amaral IL, Salomão RP, de Souza Coelho L, de Almeida Matos FD, Castilho CV, de Andrade Lima Filho D, López DC, Guevara JE, Magnusson WE, Phillips OL, Wittmann F, de Jesus Veiga Carim M, Martins MP, Irume MV, Sabatier D, Molino JF, Bánki OS, da Silva Guimarães JR, Pitman NCA, Piedade MTF, Mendoza AM, Luize BG, Venticinque EM, de Leão Novo EMM, Vargas PN, Silva TSF, Manzatto AG, Terborgh J, Reis NFC, Montero JC, Casula KR, Marimon BS, Marimon BH, Coronado ENH, Feldpausch TR, Duque A, Zartman CE, Arboleda NC, Killeen TJ, Mostacedo B, Vasquez R, Schöngart J, Assis RL, Medeiros MB, Simon MF, Andrade A, Laurance WF, Camargo JL, Demarchi LO, Laurance SGW, de Sousa Farias E, Nascimento HEM, Revilla JDC, Quaresma A, Costa FRC, Vieira ICG, Cintra BBL, Castellanos H, Brienen R, Stevenson PR, Feitosa Y, Duivenvoorden JF, Aymard C GA, Mogollón HF, Targhetta N, Comiskey JA, Vicentini A, Lopes A, Damasco G, Dávila N, García-Villacorta R, Levis C, Schietti J, Souza P, Emilio T, Alonso A, Neill D, Dallmeier F, Ferreira LV, Araujo-Murakami A, Praia D, do Amaral DD, Carvalho FA, de Souza FC, Feeley K, Arroyo L, Pansonato MP, Gribel R, Villa B, Licona JC, Fine PVA, Cerón C, Baraloto C, Jimenez EM, Stropp J, Engel J, Silveira M, Mora MCP, Petronelli P, Maas P, Thomas-Caesar R, Henkel TW, Daly D, Paredes MR, Baker TR, Fuentes A, Peres CA, Chave J, Pena JLM, Dexter KG, Silman MR, Jørgensen PM, Pennington T, Di Fiore A, Valverde FC, Phillips JF, Rivas-Torres G, von Hildebrand P, van Andel TR, Ruschel AR, Prieto A, Rudas A, Hoffman B, Vela CIA, Barbosa EM, Zent EL, Gonzales GPG, Doza HPD, de Andrade Miranda IP, Guillaumet JL, Pinto LFM, de Matos Bonates LC, Silva N, Gómez RZ, Zent S, Gonzales T, Vos VA, Malhi Y, Oliveira AA, Cano A, Albuquerque BW, Vriesendorp C, Correa DF, Torre EV, van der Heijden G, Ramirez-Angulo H, Ramos JF, Young KR, Rocha M, Nascimento MT, Medina MNU, Tirado M, Wang O, Sierra R, Torres-Lezama A, Mendoza C, Ferreira C, Baider C, Villarroel D, Balslev H, Mesones I, Giraldo LEU, Casas LF, Reategui MAA, Linares-Palomino R, Zagt R, Cárdenas S, Farfan-Rios W, Sampaio AF, Pauletto D, Sandoval EHV, Arevalo FR, Huamantupa-Chuquimaco I, Garcia-Cabrera K, Hernandez L, Gamarra LV, Alexiades MN, Pansini S, Cuenca WP, Milliken W, Ricardo J, Lopez-Gonzalez G, Pos E, and Ter Steege H

Subjects
Brazil, Chrysobalanaceae physiology, Fabaceae physiology, Humans, Polygonaceae physiology, Conservation of Natural Resources statistics & numerical data, Models, Statistical, Plant Dispersal physiology, Trees physiology
Abstract

Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species' area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments.

Published
2018
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9. Species Distribution Modelling: Contrasting presence-only models with plot abundance data

Author

Ophelia Wang, José Ferreira Ramos, Leandro Valle Ferreira, Luis Valenzuela Gamarra, Bruno Garcia Luize, Ana Andrade, Juan David Cardenas Revilla, Bonifacio Mostacedo, Bianca Weiss Albuquerque, Vincent A. Vos, Ángela Cano, Alejandro Araujo-Murakami, Linder Felipe Mozombite Pinto, James A. Comiskey, Kenneth J. Feeley, Dário Dantas do Amaral, Reynaldo Linares-Palomino, Egleé L. Zent, Jochen Schöngart, Juan Fernando Phillips, Stanford Zent, Hirma Ramírez-Angulo, Rafael de Paiva Salomão, Pascal Petronelli, Jean-François Molino, Ires Paula de Andrade Miranda, Luiz Carlos de Matos Bonates, Emilio Vilanova Torre, Rogério Gribel, Christopher Baraloto, Luzmila Arroyo, William Milliken, Timothy R. Baker, Corine Vriesendorp, Henrik Balslev, Freddy Ramirez Arevalo, Juan Carlos Licona, Sasha Cárdenas, Percy Núñez Vargas, Evlyn Márcia Moraes de Leão Novo, Juan Ernesto Guevara, Susan G. Laurance, Marcos Silveira, Paul J. M. Maas, Daniel Sabatier, Stéphanie D. Ijff, Roel J. W. Brienen, Juan Carlos Montero, Charles E. Zartman, Armando Torres-Lezama, David A. Neill, Alberto Vicentini, Manuel Augusto Ahuite Reategui, John Terborgh, Luisa Fernanda Casas, Layon Oreste Demarchi, Maria Pires Martins, José Luís Marcelo Peña, Toby Pennington, Juliana Schietti, Milton Tirado, José Renan da Silva Guimarães, Isau Huamantupa-Chuquimaco, Lionel Hernández, Gabriel Damasco, Gerardo Aymard, Karina Garcia-Cabrera, Aline Lopes, Diogenes de Andrade Lima Filho, Maíra da Rocha, Rafael L. Assis, Edwin Pos, Olaf Bánki, Cláudia Baider, Maria Teresa Fernandez Piedade, Vitor Hugo Freitas Gomes, Marcos Ríos Paredes, Geertje M. F. van der Heijden, Cid Ferreira, Neidiane Farias Costa Reis, Jérôme Chave, Roosevelt García-Villacorta, Susamar Pansini, Ted R. Feldpausch, Flávia R. C. Costa, Maria Cristina Peñuela Mora, Gabriela Lopez-Gonzalez, Abel Monteagudo Mendoza, Ricardo Zárate Gómez, Agustín Rudas, Casimiro Mendoza, Emanuelle de Sousa Farias, Italo Mesones, Fernanda Coelho de Souza, Eurídice N. Honorio Coronado, George Pepe Gallardo Gonzales, Bruno Barçante Ladvocat Cintra, Marcelo F. Simon, Alvaro Duque, Iêda Leão do Amaral, Carlos Cerón, Hans ter Steege, Yadvinder Malhi, Jean Louis Guillaumet, Miles R. Silman, Pablo R. Stevenson, Daniel Praia, E. M. Jimenez, Adriano Costa Quaresma, Paul V. A. Fine, Rodolfo Vasquez, Bruce Hoffman, Mariana Victória Irume, Carolina V. Castilho, Marcelo Brilhante de Medeiros, Miguel Alexiades, Terry W. Henkel, William Farfan-Rios, Daniel Villarroel, Anthony Di Fiore, Dairon Cárdenas López, Roderick Zagt, Florian Wittmann, Niels Raes, Beatriz Schwantes Marimon, Julien Engel, Eduardo Martins Venticinque, Peter M. Jørgensen, Diego Correa, Henrique E. M. Nascimento, Gonzalo Rivas-Torres, Kenneth R. Young, Marcelo Petratti Pansonato, Timothy J. Killeen, Nállarett Dávila, Yuri Oliveira Feitosa, Hugo Mogollón, Thaise Emilio, Hernán Castellanos, Katia Regina Casula, Ben Hur Marimon, Ligia Estela Urrego Giraldo, Angelo Gilberto Manzatto, Francisco Dallmeier, Maria Natalia Umaña Medina, Therany Gonzales, Natalia Targhetta, Patricio von Hildebrand, Juliana Stropp, Boris Villa, Raquel Thomas-Caesar, Daniela Pauletto, Alexandre Adalardo de Oliveira, Nicolás Castaño Arboleda, Adriana Prieto, Fernando Cornejo Valverde, Rodrigo Sierra, Priscila Souza, Marcelo Trindade Nascimento, William F. Laurance, José Luís Camargo, Fernanda Carvalho, Tinde van Andel, Adeilza Felipe Sampaio, Thiago Sanna Freire Silva, César I.A. Vela, Kyle G. Dexter, William E. Magnusson, Hilda Paulette Dávila Doza, Joana Ricardo, Alfonso Alonso, Luiz de Souza Coelho, Oliver L. Phillips, Marcelo de Jesus Veiga Carim, Edelcilio Marques Barbosa, Joost F. Duivenvoorden, Walter Palacios Cuenca, Doug Daly, Ademir Roberto Ruschel, Elvis H. Valderrama Sandoval, Natalino Silva, Ima Célia Guimarães Vieira, Alfredo F. Fuentes, Carlos A. Peres, Francisca Dionízia de Almeida Matos, Carolina Levis, Nigel C. A. Pitman, Ecology and Biodiversity, Sub Ecology and Biodiversity, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), International Center for Tropical Botany, Ecosystem and Landscape Dynamics (IBED, FNWI), Museu Paraense Emílio Goeldi, Universidade Federal do Pará (UFPA), Naturalis Biodiversity Center, Marine and Coastal Management, Instituto Nacional de Pesquisas da Amazônia - INPA, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Instituto SINCHI, University of California, Diego de Robles y Vía Interoceánica, University of Leeds, Karlsruhe Institute of Technology - KIT, Max Planck Institute for Chemistry, Instituto de Pesquisas Científicas e Tecnológicas Do Amapá - IEPA, Université de Montpellier, Field Museum, Jardín Botánico de Missouri, Universidade Estadual Paulista (Unesp), Universidade Federal Do Rio Grande Do Norte, Instituto Nacional de Pesquisas Espaciais - INPE, Universidad Nacional de San Antonio Abad Del Cusco, Universidade Federal de Rondônia, Nicholas School of the Environment, Santa Cruz, Universidade Do Estado de Mato Grosso, Instituto de Investigaciones de la Amazonía Peruana - IIAP, University of Exeter, Universidad Nacional de Colombia, Agteca-Amazonica, Universidad Autónoma Gabriel René Moreno Santa Cruz, James Cook University, Fiocruz, IOC/FIOCRUZ Pav. Arthur Neiva, Calle Chile, Universidad de Los Andes, University of Amsterdam, UNELLEZ-Guanare, Endangered Species Coalition, Inventory and Monitoring Program National Park Service, Sustainability Smithsonian Conservation Biology Institute, Universidade Estadual de Campinas (UNICAMP), University of Edinburgh, Royal Botanic Garden Edinburgh, Wageningen University and Research, Kew, Universidad Estatal Amazónica, University of Miami Coral, Fairchild Tropical Botanic Garden Coral, Universidade de São Paulo (USP), Instituto de Pesquisas Jardim Botânico Do Rio de Janeiro, Alfredo Paredes Universidad Central, Florida International University, Universidad Nacional de Colombia Sede Amazonía, Federal University of Alagoas, Universidade Federal Do Acre, Universidad Regional Amazónica IKIAM, Univ Guyane, Iwokrama International Programme for Rainforest Conservation, Humboldt State University, New York Botanical Garden, Servicios de Biodiversidad EIRL, Universitario UMSA, Missouri Botanical Garden, University of East Anglia, UMR 5174 EDB, Universidad Nacional Agraria la Molina, Wake Forest University, University of Texas at Austin, Madre de Dios, Fundación Puerto Rastrojo, Universidad San Francisco de Quito-USFQ, Conservation University of Florida, Fundación Estación de Biología, Amazon Conservation Team, Instituto Venezolano de Investigaciones Científicas - IVIC, Muséum National d'Histoire Naturelle de Paris, Universidade Federal Rural da Amazônia, Instituto de Investigaciones de la Amazonía Peruana (IIAP), ACEER Foundation, Universidad Autónoma Del Beni José Ballivián, Centro de Investigación y Promoción Del Campesinado, Dyson Perrins Building, University of Queensland, University of Washington, University of Nottingham, Universidade Estadual Do Norte Fluminense, University of Maryland, GeoIS, Northern Arizona University, Manejo Forestal en Las Tierras Tropicales de Bolivia, Universidad Mayor de San Simon (UMSS), Mauritius Herbarium, Aarhus University, Conservation Biology Institute, Tropenbos International, Universidade Federal Do Oeste Do Pará, University of Missouri, Universidad Nacional de la Amazonia Peruana, University of Kent, Universidad Técnica Del Norte, Utrecht University, Free University, Systems Ecology, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), and University of St Andrews. School of Geography & Sustainable Development

Subjects
0106 biological sciences, History, 010504 meteorology & atmospheric sciences, Geography & travel, Physiology, QH301 Biology, [SDV]Life Sciences [q-bio], Species distribution, Biodiversity, DIVERSITY, lcsh:Medicine, 01 natural sciences, biodiversité, Trees, Abundance (ecology), Statistics, K01 - Foresterie - Considérations générales, IUCN Red List, GEOGRAPHIC DISTRIBUTIONS, ECOLOGICAL NICHE MODELS, lcsh:Science, Conservation Of Natural Resources, ddc:910, SDG 15 - Life on Land, Multidisciplinary, Ecology, Statistical Model, Species Distribution, MAXENT, Fabaceae, 3rd-DAS, F70 - Taxonomie végétale et phytogéographie, Écologie des populations, Sensitivity Analysis, BIAS, FLORESTAS TROPICAIS, Brazil, Tree, Human, Conservation of Natural Resources, Occupancy, Conservation, Distribution des populations, 010603 evolutionary biology, Plot (graphics), Article, Chrysobalanaceae, QH301, Écologie forestière, Inverse distance weighting, Pipeline, Statistics And Numerical Data, Life Science, Humans, Bosecologie en Bosbeheer, 0105 earth and related environmental sciences, Species, Models, Statistical, Plant Dispersal, Brasil, lcsh:R, Information Processing, PERFORMANCE, Polygonaceae, Forest Ecology and Forest Management, Environmental niche modelling, THRESHOLDS, PATTERN, Modélisation, ABSENCE DATA, Environmental science, peuplement forestier, lcsh:Q, Prediction, Environmental Protection
Abstract

Made available in DSpace on 2018-12-11T17:17:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-12-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Ministério da Ciência, Tecnologia e Inovação Ministério da Educação Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species' area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments. Coordenação de Botânica Museu Paraense Emílio Goeldi, Av. Magalhães Barata 376, C.P. 399 Programa de Pós-Graduação em Ciência Ambientais Universidade Federal Do Pará, Rua Augusto Corrêa 01 Biodiversity Dynamics Naturalis Biodiversity Center, PO Box 9517 Marine and Coastal Management, Deltares, Boussinesqweg 1 Coordenação de Biodiversidade Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 EMBRAPA Centro de Pesquisa Agroflorestal de Roraima, BR 174 km 8, Distrito Industrial Herbario Amazónico Colombiano Instituto SINCHI, Calle 20 No 5-44 Department of Integrative Biology University of California Universidad San Francisco de Quito Colegio de Ciencias Biológicas Diego de Robles y Vía Interoceánica Coordenação de Pesquisas em Ecologia Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 School of Geography University of Leeds, Woodhouse Lane Department of Wetland Ecology Institute of Geography and Geoecology Karlsruhe Institute of Technology - KIT, Josefstr 1 Biogeochemistry Max Planck Institute for Chemistry, Hahn-Meitner Weg 1 Departamento de Botânica Instituto de Pesquisas Científicas e Tecnológicas Do Amapá - IEPA Campus Do IEPA da Fazendinha, Rodovia JK Km 10 AMAP IRD Cirad CNRS INRA Université de Montpellier, TA A-51/PS2, Bd. de la Lironde Science and Education Field Museum, 1400 S. Lake Shore Drive Coordenação de Dinâmica Ambiental Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 Jardín Botánico de Missouri Departamento de Ecologia Universidade Estadual Paulista - UNESP Instituto de Biociências - IB, Av. 24 A 1515 Centro de Biociências Departamento de Ecologia Universidade Federal Do Rio Grande Do Norte, Av. Senador Salgado Filho 3000 Divisao de Sensoriamento Remoto - DSR Instituto Nacional de Pesquisas Espaciais - INPE, Av. dos Astronautas 1758 Herbario Vargas Universidad Nacional de San Antonio Abad Del Cusco, Avenida de la Cultura, Nro 733 Departamento de Geografia Universidade Estadual Paulista - UNESP Instituto de Geociências e Ciências Extas - IGCe Departamento de Biologia Universidade Federal de Rondônia, Rodovia BR 364 s/n Km 9.5 Center for Tropical Conservation Duke University Nicholas School of the Environment Programa de Pós-Graduação em Biodiversidade e Biotecnologia - PPG-Bionorte Universidade Federal de Rondônia Campus Porto Velho, Km 9.5 Instituto Boliviano de Investigacion Forestal Santa Cruz, Av. 6 agosto 28 Km 14,Doble via La Guardia Casilla, 6204 Programa de Pós-Graduação em Ecologia e Conservação Universidade Do Estado de Mato Grosso Instituto de Investigaciones de la Amazonía Peruana - IIAP, Av. A. Quiñones km 2.5 Geography College of Life and Environmental Sciences University of Exeter Departamento de Ciencias Forestales Universidad Nacional de Colombia, Calle 64 x Cra 65 Agteca-Amazonica Facultad de Ciencias Agrícolas Universidad Autónoma Gabriel René Moreno Santa Cruz Prédio da Botânica e Ecologia Embrapa Recursos Genéticos Biotecnologia Parque Estação Biológica, Av. W5 Norte Projeto Dinâmica Biológica de Fragmentos Florestais Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 Centre for Tropical Environmental and Sustainability Science College of Science and Engineering James Cook University Laboratório de Ecologia de Doenças Transmissíveis da Amazônia (EDTA) Instituto Leônidas e Maria Deane Fiocruz, Rua Terezina 476 Programa de Pós-graduação em Biodiversidade Saúde Instituto Oswaldo Cruz IOC/FIOCRUZ Pav. Arthur Neiva, Térreo Av. Brasil 4365 Centro de Investigaciones Ecológicas de Guayana Universidad Nacional Experimental de Guayana Calle Chile, urbaniz Chilemex Laboratorio de Ecología de Bosques Tropicales y Primatología Universidad de Los Andes, Carrera 1 # 18a- 10 Programa de Pós-Graduação em Biologia (Botânica) Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 Institute of Biodiversity and Ecosystem Dynamics University of Amsterdam, Sciencepark 904 Programa de Ciencias Del Agro y El Mar Herbario Universitario (PORT) UNELLEZ-Guanare Endangered Species Coalition, 8530 Geren Rd MAUA Working Group Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 Inventory and Monitoring Program National Park Service, 120 Chatham Lane Center for Conservation Education Sustainability Smithsonian Conservation Biology Institute, 1100 Jefferson Dr. SW, Suite 3123 Biologia Vegetal Universidade Estadual de Campinas, Caixa Postal 6109 Institute of Molecular Plant Sciences University of Edinburgh, Mayfield Rd Royal Botanic Garden Edinburgh, 20a Inverleith Row Programa de Pós-Graduação em Ecologia Instituto Nacional de Pesquisas da Amazônia - INPA, Av. André Araújo 2936 Forest Ecology and Forest Management Group Wageningen University Wageningen University and Research, Droevendaalsesteeg 3, P.O. 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Published
2018
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10. Hyperdominance in the Amazonian Tree Flora

Author

César I.A. Vela, Nállarett Dávila, E. M. Jimenez, Rodolfo Vasquez, Bruce Hoffman, Dairon Cárdenas López, A C Gerardo Aymard, Alfonso Alonso, Carolina Levis, Nigel C. A. Pitman, Milton Tirado, Miguel Alexiades, Adriana Prieto, Iêda Leão do Amaral, Jochen Schöngart, Juan Fernando Phillips, Egleé L. Zent, Natalino Silva, Walter Palacios Cuenca, Francisca Dionízia de Almeida Matos, Gabriela Lopez-Gonzalez, Paul V. A. Fine, Stanford Zent, Jérôme Chave, Roosevelt García-Villacorta, Carolina V. Castilho, William Milliken, Gonzalo Rivas, Beatriz Schwantes Marimon, Fernando Cornejo Valverde, Susan G. Laurance, Marcos Silveira, Emilio Vilanova Torre, Timothy R. Baker, Corine Vriesendorp, Elvis H. Valderrama Sandoval, Percy Núñez Vargas, Rodrigo Sierra, Hernán Castellanos, Rafael L. Assis, Daniel Sabatier, John Terborgh, Miles R. Silman, Juliana Schietti, Ophelia Wang, William E. Magnusson, Angela Cano Schutz, Cid Ferreira, Kenneth J. Feeley, Lionel Hernández, Ademir R. Ruschell, Juliana Stropp, Geertje M. F. van der Heijden, Diogenes de Andrade Lima Filho, Oliver L. Phillips, Ben Hur Marimon, Thaise Emilio, Luis Valenzuela Gamarra, Álvaro Javier Duque Montoya, Francisco Dallmeier, Hugo Mogollón, Isau Huamantupa-Chuquimaco, Alexandre Adalardo de Oliveira, Christopher Baraloto, Maria Natalia Umaña Medina, Henrik Balslev, Peter M. Jørgensen, Hirma Ramírez-Angulo, Maria Teresa Fernandez Piedade, Kyle G. Dexter, Julien Engel, Pascal Petronelli, Kenneth R. Young, Priscila Souza, Hans ter Steege, Ligia Estela Urrego Giraldo, Timothy J. Killeen, Therany Gonzales, Agustín Rudas, Flávia R. C. Costa, Patricio von Hildebrand, Yadvinder Malhi, Carlos Cerón, Pablo Roberto Stevenson Diaz, Terry W. Henkel, Ana Andrade, Maria Cristina Peñuela Mora, Marcelo Trindade Nascimento, Italo Mesones, Bonifacio Mostacedo, Abel Monteagudo, Eurídice N. Honorio Coronado, Daniela Pauletto, Charles E. Zartman, Jean-François Molino, William F. Laurance, Tinde van Andel, Luzmila Arroyo, Roderick Zagt, Rafael de Paiva Salomão, Marisol Toledo, Ted R. Feldpausch, Cláudia Baider, Ima Célia Guimarães Vieira, Paul J. M. Maas, Alfredo F. Fuentes, Anthony Di Fiore, Carlos A. Peres, Alejandro Araujo-Murakami, Joost F. Duivenvoorden, Doug Daly, Juan Ernesto Guevara, Armando Torres-Lezama, David A. Neill, Florian Wittmann, Marcos Ríos Paredes, Vincent A. Vos, Rogério Gribel, Roel J. W. Brienen, Juan Carlos Montero, Paleoecology and Landscape Ecology (IBED, FNWI), Naturalis Biodiversity Center [Leiden], Utrecht University [Utrecht], Duke University [Durham], Institut de Recherche pour le Développement (IRD), Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Ministério da Ciência, Tecnologia e Inovação, Department of Integrative Biology, University of California, School of Geography and the Environment [Oxford] (SoGE), University of Oxford [Oxford], Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Ministério da Agricultura, Pecuária e Abastecimento [Brasil] (MAPA), Governo do Brasil-Governo do Brasil, Instituto Nacional de Pesquisas da Amazônia (INPA), Missouri Botanical Garden, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Bolivia Sustainable Forest Management Project, Partenaires INRAE, University of Exeter, Instituto de Investigaciones de la Amazonía Peruana (IIAP), World Wide Fund for Nature, Universidad Autonoma Gabriel René Moreno, Norwegian University of Life Sciences (NMBU), Max Planck Institute for Chemistry (MPIC), Max-Planck-Gesellschaft, James Cook University (JCU), Universidade Federal de Mato Grosso do Sul (UFMS), Museu Paraense Emílio Goeldi [Belém, Brésil] (MPEG), Universidad Nacional Experimental de Guayana, Instituto Amazonico de Investigaciones Cientificas, Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Endangered Species Coalition, Universidade Estadual de Campinas (UNICAMP), University of Edinburgh, Royal Botanic Garden Edinburgh, Universidad de Los Andes, Smithsonian Conservation Biology Institute, Departamento de Ciencias Forestales, Museo de Historia Natural Noel Kempff Mercado [Bolivie], Jardim Botânico do Rio de Janeiro, Instituto de Pesquisas, Tyndall Centre for Climate Change Research and School of Environmental Sciences, University of East Anglia [Norwich] (UEA), Instituto Boliviano de Investigacion Forestal (IBIF), Universidad Nacional Experimental de Los Llanos Occidentales, Universidad Central del Ecuador (UCE), Humboldt State University (HSU), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), European Commission - Joint Research Centre [Ispra] (JRC), New York Botanical Garden (NYBG), Universidad Estatal Amazonica, Universidade Federal do Acre (UFAC), Servicios de Biodiversidad EIRL, Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Herbario Nacional de Bolivia, Max Planck Institute for Biogeochemistry (MPI-BGC), Andes to Amazon Biodiversity Program, University of Texas at Austin, Universidad Nacional de Colombia, Fundacion Puerto Rastrojo, University of Florida [Gainesville] (UF), Instituto Venezolano de Investigaciones Cientificas (IVIC), Environmental Change Institute, School of Geography and the Environment, Instituto de Ciencias Naturales, Universidade Federal Rural da Amazônia (UFRA), Universidad Autonoma del Beni, Universidade Federal de São Paulo, Amazon Center for Environmental Education and Research Foundation, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Geoinformática y Sistemas , Cia. Ltda (GeoIS), Staff publications, Naturalis Biodiversity Center, and VU University Amsterdam

Subjects
0106 biological sciences, go extinct, tropical forest, rain-forest, diversification, [SDV]Life Sciences [q-bio], Population, distributions, Biodiversity, Rainforest, Models, Biological, 010603 evolutionary biology, 01 natural sciences, species abundance, diversity, 03 medical and health sciences, tree species, Rivers, Amazonia, Dominance (ecology), rarity, patterns, hyperdominance, education, Amazon Basin, 030304 developmental biology, 0303 health sciences, education.field_of_study, Multidisciplinary, Ecology, Agroforestry, Amazon rainforest, plants, Plant community, trees, commonness, South America, 15. Life on land, ECOLOGIA, Guiana Shield, Geography, Habitat, Species richness, richness
Abstract

Introduction Recent decades have seen a major international effort to inventory tree communities in the Amazon Basin and Guiana Shield (Amazonia), but the vast extent and record diversity of these forests have hampered an understanding of basinwide patterns. To overcome this obstacle, we compiled and standardized species-level data on more than half a million trees in 1170 plots sampling all major lowland forest types to explore patterns of commonness, rarity, and richness. Methods The ~6-million-km 2 Amazonian lowlands were divided into 1° cells, and mean tree density was estimated for each cell by using a loess regression model that included no environmental data but had its basis exclusively in the geographic location of tree plots. A similar model, allied with a bootstrapping exercise to quantify sampling error, was used to generate estimated Amazon-wide abundances of the 4962 valid species in the data set. We estimated the total number of tree species in the Amazon by fitting the mean rank-abundance data to Fisher’s log-series distribution. Results Our analyses suggest that lowland Amazonia harbors 3.9 × 10 11 trees and ~16,000 tree species. We found 227 “hyperdominant” species (1.4% of the total) to be so common that together they account for half of all trees in Amazonia, whereas the rarest 11,000 species account for just 0.12% of trees. Most hyperdominants are habitat specialists that have large geographic ranges but are only dominant in one or two regions of the basin, and a median of 41% of trees in individual plots belong to hyperdominants. A disproportionate number of hyperdominants are palms, Myristicaceae, and Lecythidaceae. Discussion The finding that Amazonia is dominated by just 227 tree species implies that most biogeochemical cycling in the world’s largest tropical forest is performed by a tiny sliver of its diversity. The causes underlying hyperdominance in these species remain unknown. Both competitive superiority and widespread pre-1492 cultivation by humans are compelling hypotheses that deserve testing. Although the data suggest that spatial models can effectively forecast tree community composition and structure of unstudied sites in Amazonia, incorporating environmental data may yield substantial improvements. An appreciation of how thoroughly common species dominate the basin has the potential to simplify research in Amazonian biogeochemistry, ecology, and vegetation mapping. Such advances are urgently needed in light of the >10,000 rare, poorly known, and potentially threatened tree species in the Amazon.

Published
2013
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