Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology.

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Pos, Edwin, de Souza Coelho, Luiz, de Andrade Lima Filho, Diogenes, Salomão, Rafael P, Amaral, Iêda Leão ORCID: 0000-0002-2645-4380, de Almeida Matos, Francisca Dionízia, Castilho, Carolina V, Phillips, Oliver L, Guevara, Juan Ernesto, de Jesus Veiga Carim, Marcelo et al (show 206 more authors) , López, Dairon Cárdenas, Magnusson, William E, Wittmann, Florian, Irume, Mariana Victória, Martins, Maria Pires, Sabatier, Daniel, da Silva Guimarães, José Renan, Molino, Jean-François, Bánki, Olaf S, Piedade, Maria Teresa Fernandez ORCID: 0000-0002-7320-0498, Pitman, Nigel CA, Mendoza, Abel Monteagudo, Ramos, José Ferreira, Hawes, Joseph E, Almeida, Everton José, Barbosa, Luciane Ferreira, Cavalheiro, Larissa, Dos Santos, Márcia Cléia Vilela, Luize, Bruno Garcia, de Leão Novo, Evlyn Márcia Moraes, Vargas, Percy Núñez, Silva, Thiago Sanna Freire, Venticinque, Eduardo Martins, Manzatto, Angelo Gilberto, Reis, Neidiane Farias Costa, Terborgh, John, Casula, Katia Regina, Coronado, Euridice N Honorio, Montero, Juan Carlos, Marimon, Beatriz S, Marimon-Junior, Ben Hur, Feldpausch, Ted R, Duque, Alvaro, Baraloto, Chris, Arboleda, Nicolás Castaño, Engel, Julien, Petronelli, Pascal, Zartman, Charles Eugene, Killeen, Timothy J, Vasquez, Rodolfo, Mostacedo, Bonifacio, Assis, Rafael L, Schöngart, Jochen, Castellanos, Hernán, de Medeiros, Marcelo Brilhante, Simon, Marcelo Fragomeni, Andrade, Ana, Camargo, José Luís, Demarchi, Layon O, Laurance, William F, Laurance, Susan GW, de Sousa Farias, Emanuelle, Lopes, Maria Aparecida, Magalhães, José Leonardo Lima, Nascimento, Henrique Eduardo Mendonça, de Queiroz, Helder Lima, Aymard, Gerardo AC, Brienen, Roel, Revilla, Juan David Cardenas, Costa, Flávia RC, Quaresma, Adriano, Vieira, Ima Célia Guimarães, Cintra, Bruno Barçante Ladvocat, Stevenson, Pablo R, Feitosa, Yuri Oliveira, Duivenvoorden, Joost F, Mogollón, Hugo F, Ferreira, Leandro Valle, Comiskey, James A, Draper, Freddie ORCID: 0000-0001-7568-0838, de Toledo, José Julio, Damasco, Gabriel, Dávila, Nállarett, García-Villacorta, Roosevelt, Lopes, Aline, Vicentini, Alberto, Noronha, Janaína Costa, Barbosa, Flávia Rodrigues, de Sá Carpanedo, Rainiellen, Emilio, Thaise, Levis, Carolina, de Jesus Rodrigues, Domingos, Schietti, Juliana, Souza, Priscila, Alonso, Alfonso, Dallmeier, Francisco, Gomes, Vitor HF, Lloyd, Jon, Neill, David, de Aguiar, Daniel Praia Portela, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Carvalho, Fernanda Antunes, de Souza, Fernanda Coelho, do Amaral, Dário Dantas, Feeley, Kenneth J, Gribel, Rogerio, Pansonato, Marcelo Petratti, Barlow, Jos, Berenguer, Erika, Ferreira, Joice, Fine, Paul VA, Guedes, Marcelino Carneiro, Jimenez, Eliana M, Licona, Juan Carlos, Mora, Maria Cristina Peñuela, Peres, Carlos A, Zegarra, Boris Eduardo Villa, Cerón, Carlos, Henkel, Terry W, Maas, Paul, Silveira, Marcos, Stropp, Juliana, Thomas-Caesar, Raquel, Baker, Tim R, Daly, Doug, Dexter, Kyle G, Householder, John Ethan, Huamantupa-Chuquimaco, Isau, Pennington, Toby, Paredes, Marcos Ríos, Fuentes, Alfredo, Pena, José Luis Marcelo, Silman, Miles R, Tello, J Sebastián, Chave, Jerome, Valverde, Fernando Cornejo, Di Fiore, Anthony, Hilário, Renato Richard, Phillips, Juan Fernando, Rivas-Torres, Gonzalo, van Andel, Tinde R, von Hildebrand, Patricio, Barbosa, Edelcilio Marques, de Matos Bonates, Luiz Carlos, Doza, Hilda Paulette Dávila, Fonty, Émile, Gómez, Ricardo Zárate, Gonzales, Therany, Gonzales, George Pepe Gallardo, Guillaumet, Jean-Louis, Hoffman, Bruce, Junqueira, André Braga, Malhi, Yadvinder, de Andrade Miranda, Ires Paula, Pinto, Linder Felipe Mozombite, Prieto, Adriana, Rudas, Agustín, Ruschel, Ademir R, Silva, Natalino, Vela, César IA, Vos, Vincent Antoine ORCID: 0000-0002-0388-8530, Zent, Egleé L, Zent, Stanford, Albuquerque, Bianca Weiss, Cano, Angela, Correa, Diego F, Costa, Janaina Barbosa Pedrosa, Flores, Bernardo Monteiro, Holmgren, Milena, Nascimento, Marcelo Trindade, Oliveira, Alexandre A ORCID: 0000-0001-5526-8109, Ramirez-Angulo, Hirma, Rocha, Maira, Scudeller, Veridiana Vizoni, Sierra, Rodrigo, Tirado, Milton, Umaña, Maria Natalia, van der Heijden, Geertje, Torre, Emilio Vilanova, Vriesendorp, Corine, Wang, Ophelia, Young, Kenneth R, Reategui, Manuel Augusto Ahuite, Baider, Cláudia, Balslev, Henrik, Cárdenas, Sasha, Casas, Luisa Fernanda, Farfan-Rios, William, Ferreira, Cid, Linares-Palomino, Reynaldo ORCID: 0000-0002-7631-5549, Mendoza, Casimiro, Mesones, Italo, Torres-Lezama, Armando, Giraldo, Ligia Estela Urrego, Villarroel, Daniel, Zagt, Roderick, Alexiades, Miguel N, Garcia-Cabrera, Karina, Hernandez, Lionel, Milliken, William, Cuenca, Walter Palacios, Pansini, Susamar, Pauletto, Daniela, Arevalo, Freddy Ramirez, Sampaio, Adeilza Felipe, Sandoval, Elvis H Valderrama, Gamarra, Luis Valenzuela, Boenisch, Gerhard, Kattge, Jens, Kraft, Nathan, Levesley, Aurora, Melgaço, Karina, Pickavance, Georgia, Poorter, Lourens and Ter Steege, Hans (2023) Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology. Scientific reports, 13 (1). 2859-.

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Plants, Ecology, Ecosystem, Biodiversity, Tropical Climate, Entropy, Forests
Divisions:	Faculty of Science and Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	14 May 2023 15:50
Last Modified:	14 May 2023 15:50
DOI:	10.1038/s41598-023-28132-y
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3170338