Details

Autor(en) / Beteiligte

• de Souza Coelho, Luiz
• Salomão, Rafael P
• de Almeida Matos, Francisca Dionízia
• Castilho, Carolina V
• Wittmann, Florian
• Martins, Maria Pires
• Sabatier, Daniel
• da Silva Guimarães, José Renan
• Bánki, Olaf S
• Piedade, Maria Teresa Fernandez
• Mendoza, Abel Monteagudo
• Ramos, José Ferreira
• Hawes, Joseph E
• Almeida, Everton José
• Barbosa, Luciane Ferreira
• Cavalheiro, Larissa
• Luize, Bruno Garcia
• Silva, Thiago Sanna Freire
• Venticinque, Eduardo Martins
• Manzatto, Angelo Gilberto
• Casula, Katia Regina
• Coronado, Euridice N Honorio
• Montero, Juan Carlos
• Baraloto, Chris
• Arboleda, Nicolás Castaño
• Engel, Julien
• Zartman, Charles Eugene
• Schöngart, Jochen
• Castellanos, Hernán
• de Medeiros, Marcelo Brilhante
• Andrade, Ana
• Camargo, José Luís
• Demarchi, Layon O
• Laurance, William F
• de Sousa Farias, Emanuelle
• Magalhães, José Leonardo Lima
• Nascimento, Henrique Eduardo Mendonça
• Costa, Flávia R C
• Vieira, Ima Célia Guimarães
• Cintra, Bruno Barçante Ladvocat
• Stevenson, Pablo R
• Feitosa, Yuri Oliveira
• Duivenvoorden, Joost F
• Mogollón, Hugo F
• Comiskey, James A
• Draper, Freddie
• de Toledo, José Julio
• Damasco, Gabriel
• Dávila, Nállarett
• Lopes, Aline
• de Jesus Rodrigues, Domingos
• Arroyo, Luzmila
• Barlow, Jos
• Fine, Paul V A
• Jimenez, Eliana M
• Mora, Maria Cristina Peñuela
• Zegarra, Boris Eduardo Villa
• Maas, Paul
• Thomas-Caesar, Raquel
• Baker, Tim R
• Pennington, Toby
• Pena, José Luis Marcelo
• Silman, Miles R
• Valverde, Fernando Cornejo
• Phillips, Juan Fernando
• van Andel, Tinde R
• Barbosa, Edelcilio Marques
• Doza, Hilda Paulette Dávila
• Fonty, Émile
• Gonzales, George Pepe Gallardo
• de Andrade Miranda, Ires Paula
• Pinto, Linder Felipe Mozombite
• Prieto, Adriana
• Silva, Natalino
• Vela, César I A
• Zent, Stanford
• Cano, Angela
• Correa, Diego F
• Costa, Janaina Barbosa Pedrosa
• Holmgren, Milena
• Nascimento, Marcelo Trindade
• Ramirez-Angulo, Hirma
• Tirado, Milton
• Wang, Ophelia
• Young, Kenneth R
• Baider, Cláudia
• Cárdenas, Sasha
• Farfan-Rios, William
• Linares-Palomino, Reynaldo
• Torres-Lezama, Armando
• Zagt, Roderick
• Alexiades, Miguel N
• Hernandez, Lionel
• Milliken, William
• Pansini, Susamar
• Pauletto, Daniela
• Arevalo, Freddy Ramirez
• Sampaio, Adeilza Felipe
• Kattge, Jens
• Ter Steege, Hans

Titel

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

Ist Teil von

• Scientific reports, 2023-02, Vol.13 (1), p.2859-2859, Article 2859

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.