Back to Search
Start Over
Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology
- Source :
- Scientific Reports 13 (2023) 1, Scientific Reports, Scientific Reports, 13(1), Scientific Reports, 2023, 13 (1), pp.2859. ⟨10.1038/s41598-023-28132-y⟩, Scientific Reports, 13, Art.-Nr.: 2859, Pos, E, de Souza Coelho, L, de Andrade Lima Filho, D, Salomão, R P, Amaral, I L, de Almeida Matos, F D, Castilho, C V, Phillips, O L, Guevara, J E, de Jesus Veiga Carim, M, López, D C, Magnusson, W E, Wittmann, F, Irume, M V, Martins, M P, Sabatier, D, da Silva Guimarães, J R, Molino, J F, Bánki, O S, Piedade, M T F, Pitman, N C A, Mendoza, A M, Ramos, J F, Hawes, J E, Almeida, E J, Barbosa, L F, Cavalheiro, L, dos Santos, M C V, Luize, B G, de Leão Novo, E M M, Vargas, P N, Silva, T S F, Venticinque, E M, Manzatto, A G, Reis, N F C, Terborgh, J, Casula, K R, Coronado, E N H, Montero, J C, Marimon, B S, Marimon-Junior, B H, Feldpausch, T R, Duque, A, Baraloto, C, Arboleda, N C, Engel, J, Petronelli, P, Zartman, C E, Killeen, T J, Vasquez, R, Mostacedo, B, Assis, R L, Schöngart, J, Castellanos, H, de Medeiros, M B, Simon, M F, Andrade, A, Camargo, J L, Demarchi, L O, Laurance, W F, Laurance, S G W, de Sousa Farias, E, Lopes, M A, Magalhães, J L L, Nascimento, H E M, de Queiroz, H L, Aymard, G A C, Brienen, R, Revilla, J D C, Costa, F R C, Quaresma, A, Vieira, I C G, Cintra, B B L, Stevenson, P R, Feitosa, Y O, Duivenvoorden, J F, Mogollón, H F, Ferreira, L V, Comiskey, J A, Draper, F, de Toledo, J J, Damasco, G, Dávila, N, García-Villacorta, R, Lopes, A, Vicentini, A, Noronha, J C, Barbosa, F R, de Sá Carpanedo, R, Emilio, T, Levis, C, de Jesus Rodrigues, D, Schietti, J, Souza, P, Alonso, A, Dallmeier, F, Gomes, V H F, Lloyd, J, Neill, D, de Aguiar, D P P, Araujo-Murakami, A, Arroyo, L, Carvalho, F A, de Souza, F C, do Amaral, D D, Feeley, K J, Gribel, R, Pansonato, M P, Barlow, J, Berenguer, E, Ferreira, J, Fine, P V A, Guedes, M C, Jimenez, E M, Licona, J C, Mora, M C P, Peres, C A, Zegarra, B E V, Cerón, C, Henkel, T W, Maas, P, Silveira, M, Stropp, J, Thomas-Caesar, R, Baker, T R, Daly, D, Dexter, K G, Householder, J E, Huamantupa-Chuquimaco, I, Pennington, T, Paredes, M R, Fuentes, A, Pena, J L M, Silman, M R, Tello, J S, Chave, J, Valverde, F C, Di Fiore, A, Hilário, R R, Phillips, J F, Rivas-Torres, G, van Andel, T R, von Hildebrand, P, Barbosa, E M, de Matos Bonates, L C, Doza, H P D, Fonty, É, Gómez, R Z, Gonzales, T, Gonzales, G P G, Guillaumet, J L, Hoffman, B, Junqueira, A B, Malhi, Y, de Andrade Miranda, I P, Pinto, L F M, Prieto, A, Rudas, A, Ruschel, A R, Silva, N, Vela, C I A, Vos, V A, Zent, E L, Zent, S, Albuquerque, B W, Cano, A, Correa, D F, Costa, J B P, Flores, B M, Holmgren, M, Nascimento, M T, Oliveira, A A, Ramirez-Angulo, H, Rocha, M, Scudeller, V V, Sierra, R, Tirado, M, Umaña, M N, van der Heijden, G, Torre, E V, Vriesendorp, C, Wang, O, Young, K R, Reategui, M A A, Baider, C, Balslev, H, Cárdenas, S, Casas, L F, Farfan-Rios, W, Ferreira, C, Linares-Palomino, R, Mendoza, C, Mesones, I, Torres-Lezama, A, Giraldo, L E U, Villarroel, D, Zagt, R, Alexiades, M N, Garcia-Cabrera, K, Hernandez, L, Milliken, W, Cuenca, W P, Pansini, S, Pauletto, D, Arevalo, F R, Sampaio, A F, Sandoval, E H V, Gamarra, L V, Boenisch, G, Kattge, J, Kraft, N, Levesley, A, Melgaço, K, Pickavance, G, Poorter, L & ter Steege, H 2023, ' Unraveling Amazon tree community assembly using Maximum Information Entropy : a quantitative analysis of tropical forest ecology ', Scientific Reports, vol. 13, no. 1, 2859 . https://doi.org/10.1038/s41598-023-28132-y
- Publication Year :
- 2023
- Publisher :
- Springer Science and Business Media LLC, 2023.
-
Abstract
- Funding: Floristic identification in plots in the RAINFOR forest monitoring network have been supported by the Natural Environment Research Council (grants NE/B503384/1, NE/ D01025X/1, NE/I02982X/1, NE/F005806/1, NE/D005590/1 and NE/I028122/1) and the Gordon and Betty Moore Foundation. 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. Publisher PDF
- Subjects :
- 0106 biological sciences
Geography & travel
Bioinformatics
Ecology (disciplines)
Entropy
Forests
Information theory
010603 evolutionary biology
01 natural sciences
Computational biology
thermodynamics and nonlinear dynamics
Econometrics
Life Science
Bosecologie en Bosbeheer
Stabilizing selection
Relative abundance distribution
Ecosystem
ddc:910
Mathematics
MCC
Tropical Climate
Multidisciplinary
GE
Ecology
Principle of maximum entropy
3rd-DAS
Biodiversity
15. Life on land
Plants
PE&RC
Forest Ecology and Forest Management
Biosystematiek
Computational biology and bioinformatics
Complex dynamics
Quantitative analysis (finance)
Wildlife Ecology and Conservation
FOS: Biological sciences
[SDE]Environmental Sciences
Biosystematics
Probability distribution
Statistical physics
GE Environmental Sciences
010606 plant biology & botany
Subjects
Details
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific Reports 13 (2023) 1, Scientific Reports, Scientific Reports, 13(1), Scientific Reports, 2023, 13 (1), pp.2859. ⟨10.1038/s41598-023-28132-y⟩, Scientific Reports, 13, Art.-Nr.: 2859, Pos, E, de Souza Coelho, L, de Andrade Lima Filho, D, Salomão, R P, Amaral, I L, de Almeida Matos, F D, Castilho, C V, Phillips, O L, Guevara, J E, de Jesus Veiga Carim, M, López, D C, Magnusson, W E, Wittmann, F, Irume, M V, Martins, M P, Sabatier, D, da Silva Guimarães, J R, Molino, J F, Bánki, O S, Piedade, M T F, Pitman, N C A, Mendoza, A M, Ramos, J F, Hawes, J E, Almeida, E J, Barbosa, L F, Cavalheiro, L, dos Santos, M C V, Luize, B G, de Leão Novo, E M M, Vargas, P N, Silva, T S F, Venticinque, E M, Manzatto, A G, Reis, N F C, Terborgh, J, Casula, K R, Coronado, E N H, Montero, J C, Marimon, B S, Marimon-Junior, B H, Feldpausch, T R, Duque, A, Baraloto, C, Arboleda, N C, Engel, J, Petronelli, P, Zartman, C E, Killeen, T J, Vasquez, R, Mostacedo, B, Assis, R L, Schöngart, J, Castellanos, H, de Medeiros, M B, Simon, M F, Andrade, A, Camargo, J L, Demarchi, L O, Laurance, W F, Laurance, S G W, de Sousa Farias, E, Lopes, M A, Magalhães, J L L, Nascimento, H E M, de Queiroz, H L, Aymard, G A C, Brienen, R, Revilla, J D C, Costa, F R C, Quaresma, A, Vieira, I C G, Cintra, B B L, Stevenson, P R, Feitosa, Y O, Duivenvoorden, J F, Mogollón, H F, Ferreira, L V, Comiskey, J A, Draper, F, de Toledo, J J, Damasco, G, Dávila, N, García-Villacorta, R, Lopes, A, Vicentini, A, Noronha, J C, Barbosa, F R, de Sá Carpanedo, R, Emilio, T, Levis, C, de Jesus Rodrigues, D, Schietti, J, Souza, P, Alonso, A, Dallmeier, F, Gomes, V H F, Lloyd, J, Neill, D, de Aguiar, D P P, Araujo-Murakami, A, Arroyo, L, Carvalho, F A, de Souza, F C, do Amaral, D D, Feeley, K J, Gribel, R, Pansonato, M P, Barlow, J, Berenguer, E, Ferreira, J, Fine, P V A, Guedes, M C, Jimenez, E M, Licona, J C, Mora, M C P, Peres, C A, Zegarra, B E V, Cerón, C, Henkel, T W, Maas, P, Silveira, M, Stropp, J, Thomas-Caesar, R, Baker, T R, Daly, D, Dexter, K G, Householder, J E, Huamantupa-Chuquimaco, I, Pennington, T, Paredes, M R, Fuentes, A, Pena, J L M, Silman, M R, Tello, J S, Chave, J, Valverde, F C, Di Fiore, A, Hilário, R R, Phillips, J F, Rivas-Torres, G, van Andel, T R, von Hildebrand, P, Barbosa, E M, de Matos Bonates, L C, Doza, H P D, Fonty, É, Gómez, R Z, Gonzales, T, Gonzales, G P G, Guillaumet, J L, Hoffman, B, Junqueira, A B, Malhi, Y, de Andrade Miranda, I P, Pinto, L F M, Prieto, A, Rudas, A, Ruschel, A R, Silva, N, Vela, C I A, Vos, V A, Zent, E L, Zent, S, Albuquerque, B W, Cano, A, Correa, D F, Costa, J B P, Flores, B M, Holmgren, M, Nascimento, M T, Oliveira, A A, Ramirez-Angulo, H, Rocha, M, Scudeller, V V, Sierra, R, Tirado, M, Umaña, M N, van der Heijden, G, Torre, E V, Vriesendorp, C, Wang, O, Young, K R, Reategui, M A A, Baider, C, Balslev, H, Cárdenas, S, Casas, L F, Farfan-Rios, W, Ferreira, C, Linares-Palomino, R, Mendoza, C, Mesones, I, Torres-Lezama, A, Giraldo, L E U, Villarroel, D, Zagt, R, Alexiades, M N, Garcia-Cabrera, K, Hernandez, L, Milliken, W, Cuenca, W P, Pansini, S, Pauletto, D, Arevalo, F R, Sampaio, A F, Sandoval, E H V, Gamarra, L V, Boenisch, G, Kattge, J, Kraft, N, Levesley, A, Melgaço, K, Pickavance, G, Poorter, L & ter Steege, H 2023, ' Unraveling Amazon tree community assembly using Maximum Information Entropy : a quantitative analysis of tropical forest ecology ', Scientific Reports, vol. 13, no. 1, 2859 . https://doi.org/10.1038/s41598-023-28132-y
- Accession number :
- edsair.doi.dedup.....a7b7e5460a25cbdeea435b4c174c07f0
- Full Text :
- https://doi.org/10.1038/s41598-023-28132-y⟩