Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees?
For more than three decades, major efforts in sampling and analyzing tree diversity in South America have focused almost exclusively on trees with stems of at least 10 and 2.5 cm diameter, showing highest species diversity in the wetter western and northern Amazon forests. By contrast, little attention has been paid to patterns and drivers of diversity in the largest canopy and emergent trees, which is surprising given these have dominant ecological functions. Here, we use a machine learning approach to quantify the importance of environmental factors and apply it to generate spatial predictions of the species diversity of all trees (dbh ≥ 10 cm) and for very large trees (dbh ≥ 70 cm) using data from 243 forest plots (108,450 trees and 2832 species) distributed across different forest types and biogeographic regions of the Brazilian Amazon. The diversity of large trees and of all trees was significantly associated with three environmental factors, but in contrasting ways across regions and forest types. Environmental variables associated with disturbances, for example, the lightning flash rate and wind speed, as well as the fraction of photosynthetically active radiation, tend to govern the diversity of large trees. Upland rainforests in the Guiana Shield and Roraima regions had a high diversity of large trees. By contrast, variables associated with resources tend to govern tree diversity in general. Places such as the province of Imeri and the northern portion of the province of Madeira stand out for their high diversity of species in general. Climatic and topographic stability and functional adaptation mechanisms promote ideal conditions for species diversity. Finally, we mapped general patterns of tree species diversity in the Brazilian Amazon, which differ substantially depending on size class.
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eng |
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F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières forêt tropicale humide biodiversité forêt tropicale changement climatique arbre forestier télédétection inventaire forestier éclair écologie forestière distribution spatiale impact sur l'environnement forêt http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_4327 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3093 F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières forêt tropicale humide biodiversité forêt tropicale changement climatique arbre forestier télédétection inventaire forestier éclair écologie forestière distribution spatiale impact sur l'environnement forêt http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_4327 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3093 |
spellingShingle |
F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières forêt tropicale humide biodiversité forêt tropicale changement climatique arbre forestier télédétection inventaire forestier éclair écologie forestière distribution spatiale impact sur l'environnement forêt http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_4327 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3093 F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières forêt tropicale humide biodiversité forêt tropicale changement climatique arbre forestier télédétection inventaire forestier éclair écologie forestière distribution spatiale impact sur l'environnement forêt http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_4327 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3093 Borges de Lima, Robson Bastos Gorgens, Eric da Silva, Diego Armando S. Pereira de Oliveira, Cinthia Batista, Anderson Pedro B. Caraciolo Ferreira, Rinaldo Luiz Costa, Flávia R.C Ferreira de Lima, Renato A. Da Silva Aparício, Perseu de Abreu, Jadson Coelho Da Silva, José Antonio Alberto Guimaraes, Aretha Franklin Fearnside, Philip M. Sousa, Thaiane R. Perdiz, Ricardo Higuchi, Niro Berenguer, Erika Resende, Angélica F. Elias, Fernando Volkmer de Castilho, Carolina Brilhante de Medeiros, Marcelo de Matos Filho, João Ramos Alves Sardinha, Maurício Furtado Freitas, Márcio André da Silva, José Jussian Pereira da Cunha, Aldemir Mendes Santos, Renan Esquivel Muelbert, Adriane Carneiro Guedes, Marcelino Imbrózio, Reinaldo Campelo de Sousa, Carla Samara Campelo da Silva Aparício, Wegliane Marques da Silva e Silva, Breno Silva, Celice Alexandre Schwantes Marimon, Beatriz Marimon Junior, Ben Hur Morandi, Paulo Storck-Tonon, Danielle Guimarães Vieira, Ima Célia Schietti, Juliana Coelho, Fernanda Alves de Almeida, Danilo Roberti Castro, Wendeson Carvalho, Samuel P. C. da Silva, Robson dos Santos A. Silveira, Juliana M. Camargo, Jose Luis C. Melgaço, Karina Mazzei de Freitas, Lucas Jose Vedovato, Laura Benchimol, Maíra de Oliveira de Almeida, Gabriel Prance, Ghillean da Silveira, Alan Bernardes Fragomeni Simon, Marcelo Garcia, Marcos Leandro Silveira, Marcos Vital, Marcos Andrade, Maryane B. T. Silva, Natalino Oliveira de Araújo, Raimunda Cavalheiro, Larissa Carpanedo, Rainiellen Fernandes, Letícia Manzatto, Angelo Gilberto de Andrade, Ricardo T. G. Magnusson, William E Laurance, Bill Nelson, Bruce Walker Peres, Carlos Daly, Douglas C. Rodrigues, Domingos Zopeletto, Ana Paula Almeida de Oliveira, Edmar Dugachard, Estelle Rodrigues Barbosa, Flávia Santana, Flavia do Amaral, Iêda Leão Ferreira, Leandro V. Charão, Leandro S. Ferreira, Joice Nunes Barlow, Jos Blanc, Lilian Aragao, Luiz E.O.C. Sist, Plinio et al., Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? |
description |
For more than three decades, major efforts in sampling and analyzing tree diversity in South America have focused almost exclusively on trees with stems of at least 10 and 2.5 cm diameter, showing highest species diversity in the wetter western and northern Amazon forests. By contrast, little attention has been paid to patterns and drivers of diversity in the largest canopy and emergent trees, which is surprising given these have dominant ecological functions. Here, we use a machine learning approach to quantify the importance of environmental factors and apply it to generate spatial predictions of the species diversity of all trees (dbh ≥ 10 cm) and for very large trees (dbh ≥ 70 cm) using data from 243 forest plots (108,450 trees and 2832 species) distributed across different forest types and biogeographic regions of the Brazilian Amazon. The diversity of large trees and of all trees was significantly associated with three environmental factors, but in contrasting ways across regions and forest types. Environmental variables associated with disturbances, for example, the lightning flash rate and wind speed, as well as the fraction of photosynthetically active radiation, tend to govern the diversity of large trees. Upland rainforests in the Guiana Shield and Roraima regions had a high diversity of large trees. By contrast, variables associated with resources tend to govern tree diversity in general. Places such as the province of Imeri and the northern portion of the province of Madeira stand out for their high diversity of species in general. Climatic and topographic stability and functional adaptation mechanisms promote ideal conditions for species diversity. Finally, we mapped general patterns of tree species diversity in the Brazilian Amazon, which differ substantially depending on size class. |
format |
article |
topic_facet |
F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières forêt tropicale humide biodiversité forêt tropicale changement climatique arbre forestier télédétection inventaire forestier éclair écologie forestière distribution spatiale impact sur l'environnement forêt http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_4327 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3093 |
author |
Borges de Lima, Robson Bastos Gorgens, Eric da Silva, Diego Armando S. Pereira de Oliveira, Cinthia Batista, Anderson Pedro B. Caraciolo Ferreira, Rinaldo Luiz Costa, Flávia R.C Ferreira de Lima, Renato A. Da Silva Aparício, Perseu de Abreu, Jadson Coelho Da Silva, José Antonio Alberto Guimaraes, Aretha Franklin Fearnside, Philip M. Sousa, Thaiane R. Perdiz, Ricardo Higuchi, Niro Berenguer, Erika Resende, Angélica F. Elias, Fernando Volkmer de Castilho, Carolina Brilhante de Medeiros, Marcelo de Matos Filho, João Ramos Alves Sardinha, Maurício Furtado Freitas, Márcio André da Silva, José Jussian Pereira da Cunha, Aldemir Mendes Santos, Renan Esquivel Muelbert, Adriane Carneiro Guedes, Marcelino Imbrózio, Reinaldo Campelo de Sousa, Carla Samara Campelo da Silva Aparício, Wegliane Marques da Silva e Silva, Breno Silva, Celice Alexandre Schwantes Marimon, Beatriz Marimon Junior, Ben Hur Morandi, Paulo Storck-Tonon, Danielle Guimarães Vieira, Ima Célia Schietti, Juliana Coelho, Fernanda Alves de Almeida, Danilo Roberti Castro, Wendeson Carvalho, Samuel P. C. da Silva, Robson dos Santos A. Silveira, Juliana M. Camargo, Jose Luis C. Melgaço, Karina Mazzei de Freitas, Lucas Jose Vedovato, Laura Benchimol, Maíra de Oliveira de Almeida, Gabriel Prance, Ghillean da Silveira, Alan Bernardes Fragomeni Simon, Marcelo Garcia, Marcos Leandro Silveira, Marcos Vital, Marcos Andrade, Maryane B. T. Silva, Natalino Oliveira de Araújo, Raimunda Cavalheiro, Larissa Carpanedo, Rainiellen Fernandes, Letícia Manzatto, Angelo Gilberto de Andrade, Ricardo T. G. Magnusson, William E Laurance, Bill Nelson, Bruce Walker Peres, Carlos Daly, Douglas C. Rodrigues, Domingos Zopeletto, Ana Paula Almeida de Oliveira, Edmar Dugachard, Estelle Rodrigues Barbosa, Flávia Santana, Flavia do Amaral, Iêda Leão Ferreira, Leandro V. Charão, Leandro S. Ferreira, Joice Nunes Barlow, Jos Blanc, Lilian Aragao, Luiz E.O.C. Sist, Plinio et al., |
author_facet |
Borges de Lima, Robson Bastos Gorgens, Eric da Silva, Diego Armando S. Pereira de Oliveira, Cinthia Batista, Anderson Pedro B. Caraciolo Ferreira, Rinaldo Luiz Costa, Flávia R.C Ferreira de Lima, Renato A. Da Silva Aparício, Perseu de Abreu, Jadson Coelho Da Silva, José Antonio Alberto Guimaraes, Aretha Franklin Fearnside, Philip M. Sousa, Thaiane R. Perdiz, Ricardo Higuchi, Niro Berenguer, Erika Resende, Angélica F. Elias, Fernando Volkmer de Castilho, Carolina Brilhante de Medeiros, Marcelo de Matos Filho, João Ramos Alves Sardinha, Maurício Furtado Freitas, Márcio André da Silva, José Jussian Pereira da Cunha, Aldemir Mendes Santos, Renan Esquivel Muelbert, Adriane Carneiro Guedes, Marcelino Imbrózio, Reinaldo Campelo de Sousa, Carla Samara Campelo da Silva Aparício, Wegliane Marques da Silva e Silva, Breno Silva, Celice Alexandre Schwantes Marimon, Beatriz Marimon Junior, Ben Hur Morandi, Paulo Storck-Tonon, Danielle Guimarães Vieira, Ima Célia Schietti, Juliana Coelho, Fernanda Alves de Almeida, Danilo Roberti Castro, Wendeson Carvalho, Samuel P. C. da Silva, Robson dos Santos A. Silveira, Juliana M. Camargo, Jose Luis C. Melgaço, Karina Mazzei de Freitas, Lucas Jose Vedovato, Laura Benchimol, Maíra de Oliveira de Almeida, Gabriel Prance, Ghillean da Silveira, Alan Bernardes Fragomeni Simon, Marcelo Garcia, Marcos Leandro Silveira, Marcos Vital, Marcos Andrade, Maryane B. T. Silva, Natalino Oliveira de Araújo, Raimunda Cavalheiro, Larissa Carpanedo, Rainiellen Fernandes, Letícia Manzatto, Angelo Gilberto de Andrade, Ricardo T. G. Magnusson, William E Laurance, Bill Nelson, Bruce Walker Peres, Carlos Daly, Douglas C. Rodrigues, Domingos Zopeletto, Ana Paula Almeida de Oliveira, Edmar Dugachard, Estelle Rodrigues Barbosa, Flávia Santana, Flavia do Amaral, Iêda Leão Ferreira, Leandro V. Charão, Leandro S. Ferreira, Joice Nunes Barlow, Jos Blanc, Lilian Aragao, Luiz E.O.C. Sist, Plinio et al., |
author_sort |
Borges de Lima, Robson |
title |
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? |
title_short |
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? |
title_full |
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? |
title_fullStr |
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? |
title_full_unstemmed |
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? |
title_sort |
giants of the amazon: how does environmental variation drive the diversity patterns of large trees? |
url |
http://agritrop.cirad.fr/607385/ http://agritrop.cirad.fr/607385/1/Giants%20of%20the%20Amazon%20How%20does%20environmental%20variation%20drive.pdf |
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dig-cirad-fr-6073852024-07-12T13:04:43Z http://agritrop.cirad.fr/607385/ http://agritrop.cirad.fr/607385/ Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? Borges de Lima Robson, Bastos Gorgens Eric, da Silva Diego Armando S., Pereira de Oliveira Cinthia, Batista Anderson Pedro B., Caraciolo Ferreira Rinaldo Luiz, Costa Flávia R.C, Ferreira de Lima Renato A., Da Silva Aparício Perseu, de Abreu Jadson Coelho, Da Silva José Antonio Alberto, Guimaraes Aretha Franklin, Fearnside Philip M., Sousa Thaiane R., Perdiz Ricardo, Higuchi Niro, Berenguer Erika, Resende Angélica F., Elias Fernando, Volkmer de Castilho Carolina, Brilhante de Medeiros Marcelo, de Matos Filho João Ramos, Alves Sardinha Maurício, Furtado Freitas Márcio André, da Silva José Jussian, Pereira da Cunha Aldemir, Mendes Santos Renan, Esquivel Muelbert Adriane, Carneiro Guedes Marcelino, Imbrózio Reinaldo, Campelo de Sousa Carla Samara, Campelo da Silva Aparício Wegliane, Marques da Silva e Silva Breno, Silva Celice Alexandre, Schwantes Marimon Beatriz, Marimon Junior Ben Hur, Morandi Paulo, Storck-Tonon Danielle, Guimarães Vieira Ima Célia, Schietti Juliana, Coelho Fernanda, Alves de Almeida Danilo Roberti, Castro Wendeson, Carvalho Samuel P. C., da Silva Robson dos Santos A., Silveira Juliana M., Camargo Jose Luis C., Melgaço Karina, Mazzei de Freitas Lucas Jose, Vedovato Laura, Benchimol Maíra, de Oliveira de Almeida Gabriel, Prance Ghillean, da Silveira Alan Bernardes, Fragomeni Simon Marcelo, Garcia Marcos Leandro, Silveira Marcos, Vital Marcos, Andrade Maryane B. T., Silva Natalino, Oliveira de Araújo Raimunda, Cavalheiro Larissa, Carpanedo Rainiellen, Fernandes Letícia, Manzatto Angelo Gilberto, de Andrade Ricardo T. G., Magnusson William E, Laurance Bill, Nelson Bruce Walker, Peres Carlos, Daly Douglas C., Rodrigues Domingos, Zopeletto Ana Paula, Almeida de Oliveira Edmar, Dugachard Estelle, Rodrigues Barbosa Flávia, Santana Flavia, do Amaral Iêda Leão, Ferreira Leandro V., Charão Leandro S., Ferreira Joice Nunes, Barlow Jos, Blanc Lilian, Aragao Luiz E.O.C., Sist Plinio, et al.. 2023. Global Change Biology, 29 (11) : 4861-4879.https://doi.org/10.1111/gcb.16821 <https://doi.org/10.1111/gcb.16821> Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? Borges de Lima, Robson Bastos Gorgens, Eric da Silva, Diego Armando S. Pereira de Oliveira, Cinthia Batista, Anderson Pedro B. Caraciolo Ferreira, Rinaldo Luiz Costa, Flávia R.C Ferreira de Lima, Renato A. Da Silva Aparício, Perseu de Abreu, Jadson Coelho Da Silva, José Antonio Alberto Guimaraes, Aretha Franklin Fearnside, Philip M. Sousa, Thaiane R. Perdiz, Ricardo Higuchi, Niro Berenguer, Erika Resende, Angélica F. Elias, Fernando Volkmer de Castilho, Carolina Brilhante de Medeiros, Marcelo de Matos Filho, João Ramos Alves Sardinha, Maurício Furtado Freitas, Márcio André da Silva, José Jussian Pereira da Cunha, Aldemir Mendes Santos, Renan Esquivel Muelbert, Adriane Carneiro Guedes, Marcelino Imbrózio, Reinaldo Campelo de Sousa, Carla Samara Campelo da Silva Aparício, Wegliane Marques da Silva e Silva, Breno Silva, Celice Alexandre Schwantes Marimon, Beatriz Marimon Junior, Ben Hur Morandi, Paulo Storck-Tonon, Danielle Guimarães Vieira, Ima Célia Schietti, Juliana Coelho, Fernanda Alves de Almeida, Danilo Roberti Castro, Wendeson Carvalho, Samuel P. C. da Silva, Robson dos Santos A. Silveira, Juliana M. Camargo, Jose Luis C. Melgaço, Karina Mazzei de Freitas, Lucas Jose Vedovato, Laura Benchimol, Maíra de Oliveira de Almeida, Gabriel Prance, Ghillean da Silveira, Alan Bernardes Fragomeni Simon, Marcelo Garcia, Marcos Leandro Silveira, Marcos Vital, Marcos Andrade, Maryane B. T. Silva, Natalino Oliveira de Araújo, Raimunda Cavalheiro, Larissa Carpanedo, Rainiellen Fernandes, Letícia Manzatto, Angelo Gilberto de Andrade, Ricardo T. G. Magnusson, William E Laurance, Bill Nelson, Bruce Walker Peres, Carlos Daly, Douglas C. Rodrigues, Domingos Zopeletto, Ana Paula Almeida de Oliveira, Edmar Dugachard, Estelle Rodrigues Barbosa, Flávia Santana, Flavia do Amaral, Iêda Leão Ferreira, Leandro V. Charão, Leandro S. Ferreira, Joice Nunes Barlow, Jos Blanc, Lilian Aragao, Luiz E.O.C. Sist, Plinio et al., eng 2023 Global Change Biology F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières forêt tropicale humide biodiversité forêt tropicale changement climatique arbre forestier télédétection inventaire forestier éclair écologie forestière distribution spatiale impact sur l'environnement forêt http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24174 http://aims.fao.org/aos/agrovoc/c_4327 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_36230 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_3062 Amazonie France Guyane française http://aims.fao.org/aos/agrovoc/c_32372 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_3093 For more than three decades, major efforts in sampling and analyzing tree diversity in South America have focused almost exclusively on trees with stems of at least 10 and 2.5 cm diameter, showing highest species diversity in the wetter western and northern Amazon forests. By contrast, little attention has been paid to patterns and drivers of diversity in the largest canopy and emergent trees, which is surprising given these have dominant ecological functions. Here, we use a machine learning approach to quantify the importance of environmental factors and apply it to generate spatial predictions of the species diversity of all trees (dbh ≥ 10 cm) and for very large trees (dbh ≥ 70 cm) using data from 243 forest plots (108,450 trees and 2832 species) distributed across different forest types and biogeographic regions of the Brazilian Amazon. The diversity of large trees and of all trees was significantly associated with three environmental factors, but in contrasting ways across regions and forest types. Environmental variables associated with disturbances, for example, the lightning flash rate and wind speed, as well as the fraction of photosynthetically active radiation, tend to govern the diversity of large trees. Upland rainforests in the Guiana Shield and Roraima regions had a high diversity of large trees. By contrast, variables associated with resources tend to govern tree diversity in general. Places such as the province of Imeri and the northern portion of the province of Madeira stand out for their high diversity of species in general. Climatic and topographic stability and functional adaptation mechanisms promote ideal conditions for species diversity. Finally, we mapped general patterns of tree species diversity in the Brazilian Amazon, which differ substantially depending on size class. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/607385/1/Giants%20of%20the%20Amazon%20How%20does%20environmental%20variation%20drive.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1111/gcb.16821 10.1111/gcb.16821 info:eu-repo/semantics/altIdentifier/doi/10.1111/gcb.16821 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1111/gcb.16821 info:eu-repo/semantics/dataset/purl/https://doi.org/10.5281/zenodo.7688243 |