Resumen
In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics.
| Idioma original | Inglés |
|---|---|
| Número de artículo | 2859 |
| Publicación | Scientific Reports |
| Volumen | 13 |
| N.º | 1 |
| DOI | |
| Estado | Publicada - 17 feb. 2023 |
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En: Scientific Reports, Vol. 13, N.º 1, 2859, 17.02.2023.
Producción científica: Contribución a una revista › Artículo › revisión exhaustiva
TY - JOUR
T1 - Unraveling Amazon tree community assembly using Maximum Information Entropy
T2 - a quantitative analysis of tropical forest ecology
AU - Pos, Edwin
AU - de Souza Coelho, Luiz
AU - de Andrade Lima Filho, Diogenes
AU - Salomão, Rafael P.
AU - Amaral, Iêda Leão
AU - de Almeida Matos, Francisca Dionízia
AU - Castilho, Carolina V.
AU - Phillips, Oliver L.
AU - Guevara, Juan Ernesto
AU - de Jesus Veiga Carim, Marcelo
AU - López, Dairon Cárdenas
AU - Magnusson, William E.
AU - Wittmann, Florian
AU - Irume, Mariana Victória
AU - Martins, Maria Pires
AU - Sabatier, Daniel
AU - da Silva Guimarães, José Renan
AU - Molino, Jean François
AU - Bánki, Olaf S.
AU - Piedade, Maria Teresa Fernandez
AU - Pitman, Nigel C.A.
AU - Mendoza, Abel Monteagudo
AU - Ramos, José Ferreira
AU - Hawes, Joseph E.
AU - Almeida, Everton José
AU - Barbosa, Luciane Ferreira
AU - Cavalheiro, Larissa
AU - dos Santos, Márcia Cléia Vilela
AU - Luize, Bruno Garcia
AU - de Leão Novo, Evlyn Márcia Moraes
AU - Vargas, Percy Núñez
AU - Silva, Thiago Sanna Freire
AU - Venticinque, Eduardo Martins
AU - Manzatto, Angelo Gilberto
AU - Reis, Neidiane Farias Costa
AU - Terborgh, John
AU - Casula, Katia Regina
AU - Coronado, Euridice N.Honorio
AU - Montero, Juan Carlos
AU - Marimon, Beatriz S.
AU - Marimon-Junior, Ben Hur
AU - Feldpausch, Ted R.
AU - Duque, Alvaro
AU - Baraloto, Chris
AU - Arboleda, Nicolás Castaño
AU - Engel, Julien
AU - Petronelli, Pascal
AU - Zartman, Charles Eugene
AU - Killeen, Timothy J.
AU - Vasquez, Rodolfo
AU - Mostacedo, Bonifacio
AU - Assis, Rafael L.
AU - Schöngart, Jochen
AU - Castellanos, Hernán
AU - de Medeiros, Marcelo Brilhante
AU - Simon, Marcelo Fragomeni
AU - Andrade, Ana
AU - Camargo, José Luís
AU - Demarchi, Layon O.
AU - Laurance, William F.
AU - Laurance, Susan G.W.
AU - de Sousa Farias, Emanuelle
AU - Lopes, Maria Aparecida
AU - Magalhães, José Leonardo Lima
AU - Nascimento, Henrique Eduardo Mendonça
AU - de Queiroz, Helder Lima
AU - Aymard, Gerardo A.C.
AU - Brienen, Roel
AU - Revilla, Juan David Cardenas
AU - Costa, Flávia R.C.
AU - Quaresma, Adriano
AU - Vieira, Ima Célia Guimarães
AU - Cintra, Bruno Barçante Ladvocat
AU - Stevenson, Pablo R.
AU - Feitosa, Yuri Oliveira
AU - Duivenvoorden, Joost F.
AU - Mogollón, Hugo F.
AU - Ferreira, Leandro Valle
AU - Comiskey, James A.
AU - Draper, Freddie
AU - de Toledo, José Julio
AU - Damasco, Gabriel
AU - Dávila, Nállarett
AU - García-Villacorta, Roosevelt
AU - Lopes, Aline
AU - Vicentini, Alberto
AU - Noronha, Janaína Costa
AU - Barbosa, Flávia Rodrigues
AU - de Sá Carpanedo, Rainiellen
AU - Emilio, Thaise
AU - Levis, Carolina
AU - de Jesus Rodrigues, Domingos
AU - Schietti, Juliana
AU - Souza, Priscila
AU - Alonso, Alfonso
AU - Dallmeier, Francisco
AU - Gomes, Vitor H.F.
AU - Lloyd, Jon
AU - Neill, David
AU - de Aguiar, Daniel Praia Portela
AU - Araujo-Murakami, Alejandro
AU - Arroyo, Luzmila
AU - Carvalho, Fernanda Antunes
AU - de Souza, Fernanda Coelho
AU - do Amaral, Dário Dantas
AU - Feeley, Kenneth J.
AU - Gribel, Rogerio
AU - Pansonato, Marcelo Petratti
AU - Barlow, Jos
AU - Berenguer, Erika
AU - Ferreira, Joice
AU - Fine, Paul V.A.
AU - Guedes, Marcelino Carneiro
AU - Jimenez, Eliana M.
AU - Licona, Juan Carlos
AU - Mora, Maria Cristina Peñuela
AU - Peres, Carlos A.
AU - Zegarra, Boris Eduardo Villa
AU - Cerón, Carlos
AU - Henkel, Terry W.
AU - Maas, Paul
AU - Silveira, Marcos
AU - Stropp, Juliana
AU - Thomas-Caesar, Raquel
AU - Baker, Tim R.
AU - Daly, Doug
AU - Dexter, Kyle G.
AU - Householder, John Ethan
AU - Huamantupa-Chuquimaco, Isau
AU - Pennington, Toby
AU - Paredes, Marcos Ríos
AU - Fuentes, Alfredo
AU - Pena, José Luis Marcelo
AU - Silman, Miles R.
AU - Tello, J. Sebastián
AU - Chave, Jerome
AU - Valverde, Fernando Cornejo
AU - Di Fiore, Anthony
AU - Hilário, Renato Richard
AU - Phillips, Juan Fernando
AU - Rivas-Torres, Gonzalo
AU - van Andel, Tinde R.
AU - von Hildebrand, Patricio
AU - Barbosa, Edelcilio Marques
AU - de Matos Bonates, Luiz Carlos
AU - Doza, Hilda Paulette Dávila
AU - Fonty, Émile
AU - Gómez, Ricardo Zárate
AU - Gonzales, Therany
AU - Gonzales, George Pepe Gallardo
AU - Guillaumet, Jean Louis
AU - Hoffman, Bruce
AU - Junqueira, André Braga
AU - Malhi, Yadvinder
AU - de Andrade Miranda, Ires Paula
AU - Pinto, Linder Felipe Mozombite
AU - Prieto, Adriana
AU - Rudas, Agustín
AU - Ruschel, Ademir R.
AU - Silva, Natalino
AU - Vela, César I.A.
AU - Vos, Vincent Antoine
AU - Zent, Egleé L.
AU - Zent, Stanford
AU - Albuquerque, Bianca Weiss
AU - Cano, Angela
AU - Correa, Diego F.
AU - Costa, Janaina Barbosa Pedrosa
AU - Flores, Bernardo Monteiro
AU - Holmgren, Milena
AU - Nascimento, Marcelo Trindade
AU - Oliveira, Alexandre A.
AU - Ramirez-Angulo, Hirma
AU - Rocha, Maira
AU - Scudeller, Veridiana Vizoni
AU - Sierra, Rodrigo
AU - Tirado, Milton
AU - Umaña, Maria Natalia
AU - van der Heijden, Geertje
AU - Torre, Emilio Vilanova
AU - Vriesendorp, Corine
AU - Wang, Ophelia
AU - Young, Kenneth R.
AU - Reategui, Manuel Augusto Ahuite
AU - Baider, Cláudia
AU - Balslev, Henrik
AU - Cárdenas, Sasha
AU - Casas, Luisa Fernanda
AU - Farfan-Rios, William
AU - Ferreira, Cid
AU - Linares-Palomino, Reynaldo
AU - Mendoza, Casimiro
AU - Mesones, Italo
AU - Torres-Lezama, Armando
AU - Giraldo, Ligia Estela Urrego
AU - Villarroel, Daniel
AU - Zagt, Roderick
AU - Alexiades, Miguel N.
AU - Garcia-Cabrera, Karina
AU - Hernandez, Lionel
AU - Milliken, William
AU - Cuenca, Walter Palacios
AU - Pansini, Susamar
AU - Pauletto, Daniela
AU - Arevalo, Freddy Ramirez
AU - Sampaio, Adeilza Felipe
AU - Sandoval, Elvis H.Valderrama
AU - Gamarra, Luis Valenzuela
AU - Boenisch, Gerhard
AU - Kattge, Jens
AU - Kraft, Nathan
AU - Levesley, Aurora
AU - Melgaço, Karina
AU - Pickavance, Georgia
AU - Poorter, Lourens
AU - ter Steege, Hans
N1 - © 2023. The Author(s).
PY - 2023/2/17
Y1 - 2023/2/17
N2 - In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics.
AB - In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics.
KW - Ecosystem
KW - Entropy
KW - Biodiversity
KW - Forests
KW - Plants
KW - Ecology
KW - Tropical Climate
UR - http://www.scopus.com/inward/record.url?scp=85148409624&partnerID=8YFLogxK
U2 - 10.1038/s41598-023-28132-y
DO - 10.1038/s41598-023-28132-y
M3 - Artículo
C2 - 36801913
AN - SCOPUS:85148409624
SN - 2045-2322
VL - 13
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 2859
ER -