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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, Diógenes; Salomão, Rafael P.; Wittmann, Florian 1; Castilho, Carolina V.; Guevara, Juan Ernesto; Veiga Carim, Marcelo de Jesus; Phillips, Oliver L.; Magnusson, William E.; Sabatier, Daniel; Revilla, Juan David Cardenas; Molino, Jean-François; Irume, Mariana Victória; Martins, Maria Pires; da Silva Guimarães, José Renan; ... mehr

Abstract:

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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000166085
Veröffentlicht am 29.12.2023
Originalveröffentlichung
DOI: 10.1038/s42003-023-05514-6
Scopus
Zitationen: 4
Web of Science
Zitationen: 2
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2399-3642
KITopen-ID: 1000166085
Erschienen in Communications Biology
Verlag Nature Research
Band 6
Heft 1
Seiten Art.-Nr.: 1130
Vorab online veröffentlicht am 08.11.2023
Schlagwörter Biodiversity, Community ecology
Nachgewiesen in Dimensions
Scopus
Web of Science
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