Mapping density, diversity and species-richness of the Amazon tree flora

Ter Steege Hans, Pitman Nigel C.A., do Amaral Iêda Leão, de Souza Coelho Luiz, de Almeida Matos Francisca Dionízia, de Andrade Lima Filho Diogenes, Salomão Rafael P., Wittmann Florian, Castilho Carolina V., Guevara Juan Ernesto, de Jesus Veiga Carim Marcelo, Phillips Oliver L., Magnusson William E, Sabatier Daniel, Cardenas Revilla Juan David, Molino Jean-François, Irume Mariana Victória, Pires Martins Maria, da Silva Guimarães José Renan, Ferreira Ramos José, Banki Olaf, Fernandez Piedade Maria Teresa, Cárdenas López Dairon, de Jesus Rodrigues Domingos, Demarchi Layon O., Schöngart Jochen, 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, Honorio Coronado Eurídice N., Monteagudo Mendoza Abel L., Montero Juan Carlos, Costa Flávia R.C, Feldpausch Ted R., Costa Quaresma Adriano, Castaño Arboleda Nicolás, Zartman Charles Eugene, Killeen Timothy J., Marimon Beatriz Schwantes, Marimon-Junior Ben Hur, Vasquez Rodolfo, Mostacedo Bonifacio, Assis Rafael L., Baraloto Christopher, do Amaral Dário Dantas, Engel Julien, Petronelli Pascal, et al.. 2023. Mapping density, diversity and species-richness of the Amazon tree flora. Communications Biology, 6:1130, 14 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.22786166

Résumé : Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution.

Mots-clés Agrovoc : forêt tropicale, arbre forestier, densité, cartographie, flore, forêt tropicale humide, déboisement, forêt, espèce en danger, écologie forestière

Mots-clés géographiques Agrovoc : Amazonie, France, Guyane française, Brésil, Guyana

Mots-clés libres : Biodiversity, Community ecology

Classification Agris : P01 - Conservation de la nature et ressources foncières
F40 - Écologie végétale
F70 - Taxonomie végétale et phytogéographie

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Auteurs et affiliations

• Ter Steege Hans, Naturalis Biodiversity Center (NLD) - auteur correspondant
• Pitman Nigel C.A., Field Museum of Natural History (USA)
• do Amaral Iêda Leão, INPA (BRA)
• de Souza Coelho Luiz, INPA (BRA)
• de Almeida Matos Francisca Dionízia, INPA (BRA)
• de Andrade Lima Filho Diogenes, INPA (BRA)
• Salomão Rafael P., UFPA (BRA)
• Wittmann Florian, Karlsruhe Institute of Technology (DEU)
• Castilho Carolina V., EMBRAPA (BRA)
• Guevara Juan Ernesto, Universidad de las Américas (ECU)
• de Jesus Veiga Carim Marcelo, IEPA (BRA)
• Phillips Oliver L., University of Leeds (GBR)
• Magnusson William E, INPA (BRA)
• Sabatier Daniel, IRD (FRA)
• Cardenas Revilla Juan David, INPA (BRA)
• Molino Jean-François, IRD (FRA)
• Irume Mariana Victória, INPA (BRA)
• Pires Martins Maria, INPA (BRA)
• da Silva Guimarães José Renan, Amcel Amapá Florestal e Celulose S.A. (BRA)
• Ferreira Ramos José, INPA (BRA)
• Banki Olaf, Naturalis Biodiversity Center (NLD)
• Fernandez Piedade Maria Teresa, INPA (BRA)
• Cárdenas López Dairon, Instituto Amazonico de Investigaciones Cientificas SINCHI (COL)
• de Jesus Rodrigues Domingos, UFMT (BRA)
• Demarchi Layon O., INPA (BRA)
• Schöngart Jochen, INPA (BRA)
• Almeida Everton José, UFMT (BRA)
• Ferreira Barbosa Luciane, UFMT (BRA)
• Cavalheiro Larissa, UFMT (BRA)
• Vilela dos Santos Márcia Cléia, UFMT (BRA)
• Garcia Luize Bruno, UNICAMP (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)
• Honorio Coronado Eurídice N., IIAP (PER)
• Monteagudo Mendoza Abel L., Universidad Nacional de San Antonio Abad del Cusco (PER)
• Montero Juan Carlos, INPA (BRA)
• Costa Flávia R.C, INPA (BRA)
• Feldpausch Ted R., University of Leeds (GBR)
• Costa Quaresma Adriano, INPA (BRA)
• Castaño Arboleda Nicolás, Instituto Amazonico de Investigaciones Cientificas SINCHI (COL)
• Zartman Charles Eugene, INPA (BRA)
• Killeen Timothy J., Agteca-Amazonica (BOL)
• Marimon Beatriz Schwantes, UNEMAT (BRA)
• Marimon-Junior Ben Hur, UNEMAT (BRA)
• Vasquez Rodolfo, Jardin Botanico de Missouri (PER)
• Mostacedo Bonifacio, UAGRM (BOL)
• Assis Rafael L., Instituto Tecnológico Vale (BRA)
• Baraloto Christopher, ICTB (USA)
• do Amaral Dário Dantas, MPEG (BRA)
• Engel Julien, ICTB (USA)
• Petronelli Pascal, CIRAD-ES-UMR Ecofog (GUF)
• et al.

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608358/)

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