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. 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.
| Original language | English |
|---|---|
| Article number | 1130 |
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Communications Biology |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 8 Nov 2023 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s).
Funding
This paper is the result of the work of hundreds of different scientists and research institutions in the Amazon over the past 80 years. Without their hard work this analysis would have been impossible. We thank Charles Zartman for the use of plots from Jutai. H.t.S., V.F.G. and R.S. were supported by grant 407232/2013-3 - PVE - MEC/MCTI/CAPES/CNPq/FAPs; P.I.P. had support for this work from CNPq (productivity grant 310885/2017-5) and FAPESP (research grant #09/53413-5); C.B. was supported by grant FAPESP 95/3058-0 - CRS 068/96 WWF Brasil - The Body Shop; D.S., J.F.M., J.E., P.P. and J.C. benefited from an “Investissement d’Avenir” grant managed by the Agence Nationale de la Recherche (CEBA: ANR-10-LABX-25-01); H.L.Q./M.A.P./J.L.L.M. received financial supported by MCT/CNPq/CT-INFRA/GEOMA #550373/2010-1 and # 457515/2012-0, and J.L.L.M. were supported by grant CAPES/PDSE # 88881.135761/2016-01 and CAPES/Fapespa #1530801; The Brazilian National Research Council (CNPq) provided a productivity grant to E.M.V. (Grant 308040/2017-1); Floristic identification in plots in the RAINFOR forest monitoring network has 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; B.M.F. is funded by FAPESP grant 2016/25086-3. B.S.M., B.H.M.J. and O.L.P. were supported by grants CNPq/CAPES/FAPS/BC-Newton Fund #441244/2016-5 and FAPEMAT/0589267/2016; T.W.H. was funded by National Science Foundation grant DEB-1556338. B.G.L. was supported by FAPESP, grant #2015/24554-0, and #2019/03379-4. W.E.M.: Plots in the PPBio system were financed by the INCT for Amazonian Biodiversity (CENBAM); the Program for Biodiversity Research in Western Amazonia (PPBio-AmOc) and a Productivity Grant (PQ - 301873/2016-0). Finally, we thank four reviewers for their questions and comments, which have greatly improved the manuscript.
| Funders | Funder number |
|---|---|
| FAPS | FAPEMAT/0589267/2016, 441244/2016-5 |
| PDSE | 88881.135761/2016-01 |
| Program for Biodiversity Research in Western Amazonia | PQ - 301873/2016-0 |
| WWF Brasil - The Body Shop | |
| National Science Foundation | 2019/03379-4, 2015/24554-0, DEB-1556338 |
| Gordon and Betty Moore Foundation | 2016/25086-3 |
| National Research Council | 308040/2017-1 |
| UK Natural Environment Research Council | NE/D005590/1, NE/I028122/1, NE/B503384/1, NE/D01025X/1, NE/F005806/1, NE/I02982X/1 |
| Agence Nationale de la Recherche | 457515/2012-0, ANR-10-LABX-25-01, MCT/CNPq/CT-INFRA/GEOMA #550373/2010-1 |
| Fundação de Amparo à Pesquisa do Estado de São Paulo | 09/53413-5, 95/3058-0 - CRS 068/96 |
| Fundação Amazônia Paraense de Amparo à Pesquisa | 1530801 |
| Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção |
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