Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology
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.
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Francia |
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Biblioteca del CIRAD Francia |
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eng |
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F40 - Écologie végétale U10 - Informatique, mathématiques et statistiques écologie forêt tropicale dynamique des populations écologie forestière biodiversité arbre forestier taxonomie écosystème forestier inventaire forestier forêt tropicale humide protection de la forêt http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_28075 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3445 F40 - Écologie végétale U10 - Informatique, mathématiques et statistiques écologie forêt tropicale dynamique des populations écologie forestière biodiversité arbre forestier taxonomie écosystème forestier inventaire forestier forêt tropicale humide protection de la forêt http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_28075 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3445 |
spellingShingle |
F40 - Écologie végétale U10 - Informatique, mathématiques et statistiques écologie forêt tropicale dynamique des populations écologie forestière biodiversité arbre forestier taxonomie écosystème forestier inventaire forestier forêt tropicale humide protection de la forêt http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_28075 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3445 F40 - Écologie végétale U10 - Informatique, mathématiques et statistiques écologie forêt tropicale dynamique des populations écologie forestière biodiversité arbre forestier taxonomie écosystème forestier inventaire forestier forêt tropicale humide protection de la forêt http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_28075 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3445 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., Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology |
description |
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. |
format |
article |
topic_facet |
F40 - Écologie végétale U10 - Informatique, mathématiques et statistiques écologie forêt tropicale dynamique des populations écologie forestière biodiversité arbre forestier taxonomie écosystème forestier inventaire forestier forêt tropicale humide protection de la forêt http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_28075 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3445 |
author |
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., |
author_facet |
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., |
author_sort |
Pos, Edwin |
title |
Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology |
title_short |
Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology |
title_full |
Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology |
title_fullStr |
Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology |
title_full_unstemmed |
Unraveling Amazon tree community assembly using Maximum Information Entropy: A quantitative analysis of tropical forest ecology |
title_sort |
unraveling amazon tree community assembly using maximum information entropy: a quantitative analysis of tropical forest ecology |
url |
http://agritrop.cirad.fr/608253/ http://agritrop.cirad.fr/608253/1/608253.pdf |
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dig-cirad-fr-6082532024-02-16T05:32:06Z http://agritrop.cirad.fr/608253/ http://agritrop.cirad.fr/608253/ 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. Scientific Reports, 13 (1):2859, 11 p.https://doi.org/10.1038/s41598-023-28132-y <https://doi.org/10.1038/s41598-023-28132-y> 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., eng 2023 Scientific Reports F40 - Écologie végétale U10 - Informatique, mathématiques et statistiques écologie forêt tropicale dynamique des populations écologie forestière biodiversité arbre forestier taxonomie écosystème forestier inventaire forestier forêt tropicale humide protection de la forêt http://aims.fao.org/aos/agrovoc/c_2467 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_1374842133961 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_28075 Amazonie France Guyana http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3445 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/608253/1/608253.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1038/s41598-023-28132-y 10.1038/s41598-023-28132-y info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-023-28132-y info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1038/s41598-023-28132-y |