Agritrop
Accueil

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

Pos Edwin, de Souza Coelho Luiz, de Andrade Lima Filho Diogenes, Salomão Rafael P., Amaral Iêda Leão, de Almeida Matos Francisca Dionízia, Castilho Carolina V., Phillips Oliver L., Guevara Andino Juan Ernesto, de Jesus Veiga Carim Marcelo, López Dairon Cárdenas, Magnusson William E, Wittmann Florian, Irume Mariana Victória, Pires Martins Maria, Sabatier Daniel, da Silva Guimarães José Renan, Molino Jean-François, Banki Olaf, Fernandez Piedade Maria Teresa, Pitman Nigel C. A., Mendoza Abel Monteagudo, Ferreira Ramos José, Hawes Joseph E., Almeida Everton José, Ferreira Barbosa Luciane, Cavalheiro Larissa, Vilela dos Santos Márcia Cléia, Garcia Luize Bruno, Moraes de Leão Novo Evlyn Márcia, Nuñez Vargas Percy, Freire Silva Thiago Sanna, Venticinque Eduardo Martins, Manzatto Angelo Gilberto, Costa Reis Neidiane Farias, Terborgh John, Casula Katia Regina, Coronado Euridice N. Honorio, Montero Juan Carlos, Marimon Beatriz Schwantes, Marimon-Junior Ben Hur, Feldpausch Ted R., Duque Alvaro, Baraloto Christopher, Castaño Arboleda Nicolás, Engel Julien, Petronelli Pascal, et al.. 2023. Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology. Scientific Reports, 13 (1):2859, 11 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Prévisualisation
Version publiée - Anglais
Sous licence Licence Creative Commons.
608253.pdf

Télécharger (2MB) | Prévisualisation

Résumé : 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.

Mots-clés Agrovoc : écologie, forêt tropicale, dynamique des populations, écologie forestière, biodiversité, arbre forestier, taxonomie, écosystème forestier, inventaire forestier, forêt tropicale humide, protection de la forêt

Mots-clés géographiques Agrovoc : Amazonie, France, Guyana

Mots-clés libres : Computational biology and bioinformatics, Ecology, Statistical physics, thermodynamics and nonlinear dynamics

Classification Agris : F40 - Écologie végétale
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Auteurs et affiliations

  • Pos Edwin, Utrecht Universit (NLD) - auteur correspondant
  • de Souza Coelho Luiz, INPA (BRA)
  • de Andrade Lima Filho Diogenes, INPA (BRA)
  • Salomão Rafael P., UFPA (BRA)
  • Amaral Iêda Leão, INPA (BRA)
  • de Almeida Matos Francisca Dionízia, INPA (BRA)
  • Castilho Carolina V., EMBRAPA (BRA)
  • Phillips Oliver L., University of Leeds (GBR)
  • Guevara Andino Juan Ernesto, Universidad de las Américas (ECU)
  • de Jesus Veiga Carim Marcelo, IEPA (BRA)
  • López Dairon Cárdenas, Instituto Amazonico de Investigaciones Cientificas SINCHI (COL)
  • Magnusson William E, INPA (BRA)
  • Wittmann Florian, Max Planck Institute for Evolutionary Anthropology (DEU)
  • Irume Mariana Victória, INPA (BRA)
  • Pires Martins Maria, INPA (BRA)
  • Sabatier Daniel, IRD (FRA)
  • da Silva Guimarães José Renan, IEPA (BRA)
  • Molino Jean-François, IRD (FRA)
  • Banki Olaf, Naturalis Biodiversity Center (NLD)
  • Fernandez Piedade Maria Teresa, INPA (BRA)
  • Pitman Nigel C. A., Field Museum of Natural History (USA)
  • Mendoza Abel Monteagudo, Jardin Botanico de Missouri (PER)
  • Ferreira Ramos José, INPA (BRA)
  • Hawes Joseph E., Anglia Ruskin University (GBR)
  • Almeida Everton José, UFMT (BRA)
  • Ferreira Barbosa Luciane, UFMT (BRA)
  • Cavalheiro Larissa, UFMT (BRA)
  • Vilela dos Santos Márcia Cléia, UFMT (BRA)
  • Garcia Luize Bruno, UNESP (BRA)
  • Moraes de Leão Novo Evlyn Márcia, INPE (BRA)
  • Nuñez Vargas Percy, Universidad Nacional San Antonio Abad del Cusco (PER)
  • Freire Silva Thiago Sanna, University of Stirling (GBR)
  • Venticinque Eduardo Martins, FURG (BRA)
  • Manzatto Angelo Gilberto, UNIR (BRA)
  • Costa Reis Neidiane Farias, UNIR (BRA)
  • Terborgh John, University of Florida (USA)
  • Casula Katia Regina, UNIR (BRA)
  • Coronado Euridice N. Honorio, IIAP (PER)
  • Montero Juan Carlos, INPA (BRA)
  • Marimon Beatriz Schwantes, Universidade de Mato Grosso (BRA)
  • Marimon-Junior Ben Hur, Universidade de Mato Grosso (BRA)
  • Feldpausch Ted R., University of Leeds (GBR)
  • Duque Alvaro, Universidad Nacional de Colombia (COL)
  • Baraloto Christopher, ICTB (USA)
  • Castaño Arboleda Nicolás, Instituto Amazonico de Investigaciones Cientificas SINCHI (COL)
  • Engel Julien, ICTB (USA)
  • Petronelli Pascal, CIRAD-ES-UMR Ecofog (GUF)
  • et al.

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608253/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-09-18 ]