The Importance of the Araguaia Basin in Maintaining Forest Structure, Physiognomic Patterns, and Edaphic Heterogeneity
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Forest Inventory
2.3. Soil Characterization
2.4. Botanical Material
2.5. Data Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Latrubesse, E.M.; Arima, E.; Ferreira, M.E.; Nogueira, S.H.; Wittmann, F.; Dias, M.S.; Dagosta, F.C.P.; Bayer, M. Fostering water resource governance and conservation in the Brazilian Cerrado biome. Conserv. Sci. Pract. 2019, 1, e77. [Google Scholar] [CrossRef] [Scilit]
- Pelicice, F.M.; Agostinho, A.A.; Akama, A.; Filho, J.D.A.; Azevedo-Santos, V.M.; Barbosa, M.V.M.; Bini, L.M.; Brito, M.F.G.; Candeiro, C.R.d.A.; Caramaschi, É.P.; et al. Large-scale degradation of the Tocantins–Araguaia River basin. Environ. Manag. 2021, 68, 445–452. [Google Scholar] [CrossRef] [Scilit]
- Coe, M.T.; Latrubesse, E.M.; Ferreira, M.E.; Amsler, M.L. The effects of deforestation and climate variability on the streamflow of the Araguaia River, Brazil. Biogeochemistry 2011, 105, 119–131. [Google Scholar] [CrossRef] [Scilit]
- Hortal, J.; de Bello, F.; Diniz-Filho, J.A.F.; Lewinsohn, T.M.; Lobo, J.M.; Ladle, R.J. Seven shortfalls that beset large-scale knowledge of biodiversity. Annu. Rev. Ecol. Evol. Syst. 2015, 46, 523–549. [Google Scholar] [CrossRef] [Scilit]
- García-Girón, J.; Bini, L.M.; Heino, J. Shortfalls in our understanding of the causes and consequences of functional and phylogenetic variation of freshwater communities across continents. Biol. Conserv. 2023, 282, 110082. [Google Scholar] [CrossRef] [Scilit]
- Santos, A.A.; Silva, D.R. Pesca artesanal na região do Vale do Araguaia: Desafios e perspectivas. Braz. J. Dev. 2019, 5, 33199–33212. [Google Scholar] [CrossRef] [Scilit]
- Avitabile, V.; Herold, M.; Heuvelink, G.B.M.; Lewis, S.L.; Phillips, O.L.; Asner, G.P.; Armston, J.; Ashton, P.S.; Banin, L.; Bayol, N.; et al. An integrated pan-tropical biomass map using multiple reference datasets. Glob. Change Biol. 2016, 22, 1406–1420. [Google Scholar] [CrossRef] [Scilit]
- Baccini, A.; Goetz, S.J.; Walker, W.S.; Laporte, N.T.; Sun, M.; Sulla-Menashe, D.; Hackler, J.; Beck, P.S.A.; Dubayah, R.; Friedl, M.A.; et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nat. Clim. Change 2012, 2, 182–185. [Google Scholar] [CrossRef] [Scilit]
- Saatchi, S.S.; Harris, N.L.; Brown, S.; Lefsky, M.; Mitchard, E.T.A.; Salas, W.; Zutta, B.R.; Buermann, W.; Lewis, S.L.; Hagen, S.; et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proc. Natl. Acad. Sci. USA 2011, 108, 9899–9904. [Google Scholar] [CrossRef] [Scilit]
- Duarte, G.T.; Ribeiro, M.C.; Paglia, A.P. Ecosystem services modeling as a tool for defining priority areas for conservation. PLoS ONE 2016, 11, e0154573. [Google Scholar] [CrossRef] [Scilit]
- Dantas, V.L.; Batalha, M.A. Vegetation structure: Fine scale relationships with soil in a cerrado site. Flora 2011, 206, 341–346. [Google Scholar] [CrossRef] [Scilit]
- Ferreira, M.E.; Ferreira, L.G.; Miziara, F.; Soares-Filho, B.S. Modeling landscape dynamics in the central Brazilian savanna biome: Future scenarios and perspectives for conservation. J. Land Use Sci. 2013, 8, 403–421. [Google Scholar] [CrossRef] [Scilit]
- Bayer, M.; Assis, P.C.; Suizu, T.M.; Gomes, M.C. Mudança no uso e cobertura da terra na bacia hidrográfica do rio Araguaia e seus reflexos nos recursos hídricos, o trecho médio do rio Araguaia em Goiás. Confins 2020, 48. [Google Scholar] [CrossRef] [Scilit]
- Suizu, T.M.; Latrubesse, E.M.; Stevaux, J.C.; Bayer, M. Resposta da morfologia do médio-curso superior do Rio Araguaia às mudanças no regime hidrossedimentar no período 2001–2018. Rev. Bras. Geomorfol. 2022, 23, 1420–1434. [Google Scholar] [CrossRef] [Scilit]
- Bernardes, R.E.J.; Souza, T.A.; Araújo, F.C.; Gianasi, F.M.; Ferreira, A.L.B.; Nascimento, A.B.F.; Pereira, R.T.; Ferreira, L.A.S.; Reis, M.G.; Rodrigues, A.L.C.; et al. How edaphic and hydrological characteristics drive plant distribution patterns: A study of functional traits in southeastern brazil floodplains. CERNE 2026, 32, e103619. [Google Scholar]
- Souza, I.F. Compartimentação da Rede de Drenagem da Bacia Hidrográfica do Rio Araguaia; Monografia (Curso de Especialização em Geografia); Instituto de Estudos Sócio-Ambientais, Universidade Federal de Goiás: Goiânia, Brazil, 2002; 110p. [Google Scholar]
- Aquino, S.; Latrubesse, E.; Bayer, M. Assessment of wash load transport in the Araguaia River (Aruana gauge station), Central Brazil. Lat. Am. J. Sedimentol. Basin Anal. 2009, 16, 119–128. [Google Scholar]
- Latrubesse, E.M.; Stevaux, J.C. Geomorphology and environmental aspects of the Araguaia fluvial basin, Brazil. Z. Geomorphol. Suppl. 2002, 129, 109–127. [Google Scholar]
- IBGE. Censo Demográfico: Área Territorial Brasileira; IBGE: Rio de Janeiro, Brazil, 2011.
- Ribeiro, J.F.; Walter, B.M.T. Fitofisionomias do bioma Cerrado. In Cerrado: Ecologia e Flora; Sano, S.M., Almeida, S.P., Ribeiro, J.F., Eds.; Embrapa Informação Tecnológica: Brasília, Brazil, 2008; pp. 121–140. [Google Scholar]
- Martins, T.; Araujo, F.; Siqueira, K.; Ribeiro, A.; Silva-Neto, C. Cerrado forests: Seasonal forest and cerradão. Agrar. Acad. 2016, 3, 1–14. [Google Scholar] [CrossRef] [Scilit]
- Campos, J.C.C.; Leite, H.G. Mensuração Florestal: Perguntas e Respostas, 3rd ed.; Editora UFV: Viçosa, Brazil, 2009; 548p. [Google Scholar]
- Embrapa Solos. Manual de Métodos de Análise de Solo, 2nd ed.; Embrapa Solos: Rio de Janeiro, Brazil, 2011; 230p. [Google Scholar]
- Flora e Funga do Brasil. Jardim Botânico do Rio de Janeiro. Available online: http://floradobrasil.jbrj.gov.br (accessed on 5 February 2026).
- Teixeira, P.C.; Donagemma, G.K.; Fontana, A.; Teixeira, W.G.; Paulo Cesar Teixeira, C.G.K.D. Manual de métodos de Análise de Solo; Embrapa: Brasília, Brazil, 2017; ISBN 978-85-7035-771-7. [Google Scholar]
- Van Raij, B.; Andrade, J.C.; Cantarella, H.; Quaggio, J.A. Análise Química para Avaliação da Fertilidade de Solos Tropicais; Instituto Agronômico: Campinas, Brazil, 2001; Volume 1, 285 p. [Google Scholar]
- Chave, J.; Réjou-Méchain, M.; Búrquez, A.; Chidumayo, E.; Colgan, M.S.; Delitti, W.B.; Duque, A.; Eid, T.; Fearnside, P.M.; Goodman, R.C.; et al. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob. Change Biol. 2014, 20, 3177–3190. [Google Scholar] [CrossRef] [Scilit]
- IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventories; IGES: Hayama, Japan, 2006. [Google Scholar]
- Hiraishi, T.; Krug, T.; Tanabe, K.; Srivastava, N.; Baasansuren, J.; Fukuda, M.; Troxler, T.G. 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands; IPCC: Geneva, Switzerland, 2014. [Google Scholar]
- Šmilauer, P.; Lepš, J. Multivariate Analysis of Ecological Data Using CANOCO 5; Cambridge University Press: New York, NY, USA, 2014. [Google Scholar]
- Tinya, F.; Kovács, B.; Bidló, A.; Dima, B.; Király, I.; Kutszegi, G.; Lakatos, F.; Mag, Z.; Márialigeti, S.; Nascimbene, J.; et al. Environmental drivers of forest biodiversity in temperate mixed forests–A multi-taxon approach. Sci. Total Environ. 2021, 795, 148720. [Google Scholar] [CrossRef] [Scilit]
- Ratter, J.A.; Bridgewater, S.; Ribeiro, J.F. Analysis of the floristic composition of the Brazilian Cerrado vegetation III: Comparison of the woody vegetation of 376 areas. Edinb. J. Bot. 2003, 60, 57–109. [Google Scholar] [CrossRef] [Scilit]
- Silveira, I.M.; Souza, F.C.; Haidar, R.F.; Brandão, M.M.V.; Salles, L.A.; Froes, M.G.D.; Arcela, V.; Rezende, A.V. Floristics, structure and diversity of tree communities of two gallery forests in the Federal District, Brazil. Ciênc. Florest. 2024, 34, e47958. [Google Scholar] [CrossRef] [Scilit]
- Dinca, L.; Murariu, G.; Lupoae, M. Understanding the ecosystem services of riparian forests: Patterns, gaps, and global trends. Forests 2025, 16, 947. [Google Scholar] [CrossRef] [Scilit]
- Lenza, E.; Martins, J.; Abadia, A.C.; Gonçalves, L.A.; Nogueira, D.S.; Maracahipes-Santos, L.; Colli, G.R. Diversity patterns reveal the singularities of the savanna woody flora in the Cerrado–Amazonia transition. Biodivers. Conserv. 2024, 33, 2791–2808. [Google Scholar] [CrossRef] [Scilit]
- Naidoo, R.; Aylward, C.; Elliott, W.; Keeley, A.; Kinnaird, M.; Knight, M.; Papp, C.-R.; Thapa, K.; Antelo, R. From science to impact: Conserving ecological connectivity in large conservation landscapes. Proc. Natl. Acad. Sci. USA 2025, 122, e2410937122. [Google Scholar] [CrossRef] [Scilit]
- Santos, L.A.C.; de Miranda, S.D.C.; Silva-Neto, C.M. Fitofisionomias do Cerrado: Definições e tendências: Cerrado phytophysiognomies: Definitions and trends. Élisée Rev. Geogr. UEG 2020, 9, e922022. [Google Scholar]
- Wittmann, F.; Junk, W.J.; Piedade, M.T.F. The várzea forests in Amazonia: Flooding and the highly dynamic geomorphology interact with natural forest succession. For. Ecol. Manag. 2004, 196, 199–212. [Google Scholar] [CrossRef] [Scilit]
- Pimentel, E.N.B.; Jerônimo, L.B.; Paula, M.T.; Lencinas, M.V.; Martínez Pastur, G.; Rubio, G. Relationship between forest structure and soil characteristics with flooded and non-flooded rainforests of Northern Amazonia (Brazil). Forests 2025, 16, 793. [Google Scholar] [CrossRef] [Scilit]
- Dias, C.H.S.; Miranda, I.S.; Vale, I.; Santos, G.G.A.; Costa Neto, S.V.; Costa, L.G.S. Differentiating diversity among different land cover types in the eastern Amazon. Acta Amaz. 2023, 53, 271–280. [Google Scholar] [CrossRef] [Scilit]
- Ferreira, F.G.; Machado, E.L.M.; de Melo e Silva-Neto, C.; Silva, M.C.; Medeiros, M.M.; Gonzaga, A.P.D.; Solórzano, A.; Venturoli, F.; Fagg, J.M.F. Diversity and indicator species in the Cerrado biome, Brazil. Aust. J. Crop Sci. 2017, 11, 1042–1050. [Google Scholar] [CrossRef] [Scilit]
- Cabacinha, C.D.; Fontes, M.A.L. Caracterização florística e estrutural de fragmentos de matas de galeria da bacia do Alto Araguaia. Ciênc. Florest. 2014, 24, 379–390. [Google Scholar] [CrossRef] [Scilit]
- Assis, R.L.; Wittmann, F.; Luize, B.G.; Haugaasen, T. Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil. Flora 2017, 229, 124–140. [Google Scholar] [CrossRef] [Scilit]
- Wittmann, F.; Schöngart, J.; Montero, J.C.; Motzer, T.; Junk, W.J.; Piedade, M.T.F.; Queiroz, H.L.; Worbes, M. Tree species composition and diversity gradients in white-water forests across the Amazon Basin. J. Biogeogr. 2006, 33, 1334–1347. [Google Scholar] [CrossRef] [Scilit]
- Householder, J.E.; Wittmann, F.; Schöngart, J.; Piedade, M.T.F.; Junk, W.J.; Latrubesse, E.M.; Quaresma, A.C.; Demarchi, L.O.; Lobo, G.d.S.; de Aguiar, D.P.P.; et al. One sixth of Amazonian tree diversity is dependent on river floodplains. Nat. Ecol. Evol. 2024, 8, 901–911. [Google Scholar] [CrossRef] [Scilit]
- Rodrigues, P.M.S.; Silva, J.O.; Schaefer, C.E.G.R. Edaphic properties as key drivers for woody species distributions in tropical savannic and forest habitats. Aust. J. Bot. 2019, 67, 70–80. [Google Scholar] [CrossRef] [Scilit]
- Gonçalves, I.S.; Dias, C.T.; Martins, S.V.; Souza, A.L. Fatores edáficos e as variações florísticas de um trecho de mata ciliar do rio Gualaxo do Norte, Mariana, MG. Rev. Árvore 2011, 35, 1235–1243. [Google Scholar] [CrossRef] [Scilit]
- Ferreira, I.N.M.; Ferreira, F.G.; Miranda, S.C.; Resende, R.T.; Venturoli, F. Aspectos florísticos e estruturais de quatro comunidades de Cerrado na Região Norte de Goiás. Pesq. Agrop. Trop. 2021, 51, e68257. [Google Scholar] [CrossRef] [Scilit]
- Lenza, E.; Abadia, A.C.; Veríssimo, A.; Almada, H.K.; Gonçalves, L.A.; Carrijo, D. Relationships between soils and plant community composition and structure in a Neotropical savanna mosaic. Aust. J. Bot. 2022, 70, 549–559. [Google Scholar] [CrossRef] [Scilit]
- Gonçalves, L.A.; Abadia, A.C.; Vilar, C.C.; Silvério, D.V.; Colli, G.R.; Martins, J.; Maracahipes-Santos, L.; Ushiwata, S.Y.; Lenza, E. Soil properties and bamboo cover drive the structure of the woody plant community along a forest–savanna gradient. Austral Ecol. 2021, 46, 737–749. [Google Scholar] [CrossRef] [Scilit]
- Pio, A.D.; Oliveira, L.R.; Spinola, C.M.; Costa, J.P.; Santos, L.C.S.; Vale, V.S. Padrões florístico-estruturais, riqueza e diversidade de Florestas Estacionais Semideciduais no Cerrado. Ciênc. Florest. 2023, 33, e69612. [Google Scholar] [CrossRef] [Scilit]
- IPAM. Desmatamento no Cerrado Traz Alerta para Segurança Hídrica. Available online: https://ipam.org.br/desmatamento-no-cerrado-traz-alerta-para-seguranca-hidric/ (accessed on 5 February 2026).
- Gomes, D.J.C.; Sousa, E.V.S.; Ferreira, N.S.; Lobato, R.R.C.; Ribeiro, B.F.; Dias, G.F.M. Vulnerabilidade à erosão hídrica do solo, bacia hidrográfica do rio Araguaia. Rev. Bras. Geogr. Física 2021, 14, 816–833. [Google Scholar] [CrossRef] [Scilit]
- Assis, P.C.; Faria, K.M.S.D.; Bayer, M. Conservation Units and their effectiveness in protecting water resources in the Araguaia River Drainage Basin. Soc. Nat. 2022, 34, e60335. [Google Scholar] [CrossRef] [Scilit]
- Bustamante, M.M.; Silva, J.S.; Scariot, A.; Sampaio, A.B.; Mascia, D.L.; Garcia, E.; Sano, E.; Fernandes, G.W.; Durigan, G.; Roitman, I.; et al. Ecological restoration as a strategy for mitigating and adapting to climate change: Lessons and challenges from Brazil. Mitig. Adapt. Strateg. Glob. Change 2019, 24, 1249–1270. [Google Scholar] [CrossRef] [Scilit]
- Soares-Filho, B.; Rajão, R.; Macedo, M.; Carneiro, A.; Costa, W.; Coe, M.; Rodrigues, H.; Alencar, A. Cracking Brazil’s forest code. Science 2014, 344, 363–364. [Google Scholar] [CrossRef] [Scilit]
- Ribeiro, J.F.; Kuhlmann, M.; Ogata, R.S.; Oliveira, M.C.; Vieira, D.L.M.; Sampaio, A.B. Guia de Plantas do Cerrado para Recomposição da Vegetação Nativa, 2nd ed.; Embrapa: Brasília, Brazil, 2023; 879p. [Google Scholar]
- Neri, A.V.; Soares, M.P.; Meira Neto, J.A.A.; Dias, L.E. Espécies de Cerrado com potencial para recuperação de áreas degradadas por mineração de ouro. Paracatu-MG. Rev. Árvore 2011, 35, 907–918. [Google Scholar] [CrossRef] [Scilit]



| Variable | Factors | GL | SS | MS | F | p |
|---|---|---|---|---|---|---|
| pH | Basin × Physiognomy | 4 | 2.516 | 0.6292 | 3.043 | 0.044 |
| K | Basin | 2 | 7314 | 3657 | 45.335 | 0.025 |
| K | Basin × Physiognomy | 4 | 12,705.7 | 3176.4 | 39.377 | 0.018 |
| Taxa S | Basin × Physiognomy | 4 | 86.722 | 21.68 | 43.261 | 0.012 |
| SW | Basin × Physiognomy | 4 | 2.72269 | 0.68067 | 44.707 | 0.011 |
| Menh | Basin × Physiognomy | 4 | 4.81281 | 12.032 | 53.884 | 0.004 |
| Var | Var | N° | pH | Ca | Mg | Al | H + Al | CEC | P | K | OM | M% | BS% | Clay | Silt | Sand | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 27 | 4.5 | 2.07 | 0.67 | 0.49 | 5.25 | 8.2 | 6.37 | 83.85 | 30.88 | 23.62 | 37.37 | 22.93 | 8.85 | 68.22 | ||
| Basin | Upper | 12 | 4.5a | 2.39a | 0.72a | 0.52a | 6.56a | 9.95a | 8.53a | 107.00a | 39.58a | 22a | 37.08a | 25.08a | 6.41a | 68.5a | |
| Basin | Lower | 9 | 4.6a | 1.73a | 0.57a | 0.31a | 3.14a | 5.64a | 5.17a | 72.44ab | 22.55a | 20.33a | 41.33a | 17a | 13.55a | 69.44a | |
| Basin | Middle | 6 | 4.4a | 1.93a | 0.7a | 0.68a | 5.78a | 8.55a | 3.86a | 54.67b | 26a | 31.83a | 32a | 27.5a | 6.66a | 65.83a | |
| Physio | CE | 5 | 4.1a | 1.02a | 0.5a | 0.64a | 6.68a | 8.35a | 2.68a | 60.40a | 19.6a | 41.6a | 20.8a | 20.2a | 6a | 73.8a | |
| Physio | FE | 10 | 4.8a | 2.71a | 0.85a | 0.17a | 3.14a | 6.92a | 4.68a | 86.80a | 25.3a | 11.2a | 50.9a | 21.4a | 6.7a | 71.9a | |
| Physio | MC | 12 | 4.4a | 1.97a | 0.59a | 0.69a | 6.41a | 9.21a | 9.33a | 91.17a | 40.25a | 26.5a | 33a | 25.33a | 11.83a | 62.83a | |
| Basin × Physio | Upper | CE | 2 | 3.7b | 0.4a | 0.2a | 0.65a | 9a | 9.7a | 3.5a | 38.00a | 16a | 48a | 7a | 18.5a | 6a | 75.5a |
| Basin × Physio | Upper | FE | 2 | 5.0a | 3.5a | 1a | 0a | 3.5a | 8.42a | 1.7a | 164.00b | 33a | 0a | 58.5a | 32a | 6.5a | 61.5a |
| Basin × Physio | Upper | MC | 8 | 4.5a | 2.61a | 0.78a | 0.62a | 6.72a | 10.40a | 11.5a | 110.00b | 47.12a | 21a | 39.25a | 25a | 6.5a | 68.5a |
| Basin × Physio | Lower | CE | 2 | 3.9b | 0.4a | 0.15a | 0.95a | 6.4a | 7.15a | 1.7a | 78.00b | 27a | 56a | 11a | 18.5a | 6a | 75.5a |
| Basin × Physio | Lower | FE | 6 | 4.9a | 2.35a | 0.78a | 0.15a | 2.25a | 5.56a | 6.53a | 72.00b | 22.16a | 11.83a | 52.66a | 15.5a | 6.66a | 77.83a |
| Basin × Physio | Lower | MC | 1 * | 4.4 | 0.7 | 0.2 | 0 | 2 | 3.1 | 4 | 64.00 | 16 | 0 | 34 | 23 | 7 | 70 |
| Basin × Physio | Middle | CE | 1 * | 5.3 | 3.5 | 1.8 | 0 | 2.6 | 8.08 | 3 | 70 | 12 | 0 | 68 | 27 | 6 | 67 |
| Basin × Physio | Middle | FE | 2 | 4.6a | 3a | 0.9a | 0.4a | 5.45a | 9.49a | 2.1a | 54.00b | 27a | 20.5a | 38a | 28.5a | 7a | 64.5a |
| Basin × Physio | Middle | MC | 3 | 4.0a | 0.7a | 0.2a | 1.1a | 7.06a | 8.09a | 5.33a | 50.00b | 30a | 50a | 16a | 27a | 6.66a | 66.33a |
| Level of | N° | S | Indi | Simp | SW | Menh | J | H | DBH | V | Vtot | Biom | Carbo | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 27 | 8.96 | 14.59 | 0.89 | 2.29 | 2.38 | 1.06 | 9.61 | 0.15 | 0.99 | 1.06 | 690.37 | 414.22 | ||
| Basin | Upper | 12 | 8.92a | 14.58a | 0.89a | 2.28a | 2.37a | 1.06a | 9.58a | 0.16a | 1.31a | 1.38a | 899.38a | 539.63a | |
| Basin | Lower | 9 | 9.89a | 14.33a | 0.91a | 2.42a | 2.63a | 1.08a | 10.03a | 0.13a | 0.52a | 0.53a | 345.96a | 207.58a | |
| Basin | Middle | 6 | 7.67a | 15.00a | 0.88a | 2.11a | 2.03a | 1.04a | 9.02a | 0.17a | 1.05a | 1.21a | 788.98a | 473.39a | |
| Physio | CE | 5 | 8.2a | 15.20a | 0.83a | 2.06a | 2.14a | 1.02a | 8.57a | 0.14a | 1.52a | 1.46a | 947.36a | 568.42a | |
| Physio | FE | 10 | 9.2a | 13.10a | 0.90a | 2.34a | 2.55a | 1.07a | 10.13a | 0.14a | 0.81a | 0.91a | 593.37a | 356.02a | |
| Physio | MC | 12 | 9.08a | 15.58a | 0.92a | 2.34a | 2.35a | 1.07a | 9.60a | 0.17a | 0.91a | 1.02a | 664.13a | 398.48a | |
| Basin × Physio | Upper | CE | 2 | 4.50a | 15.50a | 0.65a | 1.32a | 1.21a | 0.88a | 9.32a | 0.17a | 3.01a | 2.93a | 1903.81a | 1142.28a |
| Basin × Physio | Upper | FE | 2 | 12.50b | 15.50a | 0.97a | 2.85b | 3.18b | 1.13a | 8.86a | 0.16a | 1.34a | 1.13a | 734.80a | 440.88a |
| Basin × Physio | Upper | MC | 8 | 9.13ab | 14.13a | 0.93a | 2.38ab | 2.46ab | 1.08a | 9.83a | 0.16a | 0.87a | 1.06a | 689.42a | 413.65a |
| Basin × Physio | Lower | CE | 2 | 12.50b | 15.00a | 0.98a | 2.83b | 3.25b | 1.15a | 8.70a | 0.13a | 0.68a | 0.59a | 382.89a | 229.73a |
| Basin × Physio | Lower | FE | 6 | 8.67ab | 13.00a | 0.88a | 2.25ab | 2.43ab | 1.06a | 10.68a | 0.11a | 0.32a | 0.48a | 308.86a | 185.31a |
| Basin × Physio | Lower | MC | 1 * | 12.00 | 21.00 | 0.94 | 2.62 | 2.62 | 1.06 | 8.76 | 0.22 | 1.39 | 0.76 | 494.71 | 296.83 |
| Basin × Physio | Middle | CE | 1 * | 7.00 | 15.00 | 0.88 | 2.01 | 1.81 | 1.03 | 6.79 | 0.09 | 0.22 | 0.25 | 163.43 | 98.06 |
| Basin × Physio | Middle | FE | 2 | 7.50ab | 11.00a | 0.87a | 2.11ab | 2.26ab | 1.05a | 9.75a | 0.21a | 1.75a | 2.01a | 1305.48a | 783.29a |
| Basin × Physio | Middle | MC | 3 | 8.00ab | 17.67a | 0.88a | 2.13ab | 1.96ab | 1.03a | 9.28a | 0.17a | 0.87a | 1.00A | 653.16a | 391.90a |
| Species | Individuals | G | N° | DA (n/ha) | DR (%) | FA (%) | FR (%) | DoA (m2/ha) | DoR (%) | IVI | IVI (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Simarouba amara Aubl. | 27 | 3.95 | 9 | 7.29 | 6.67 | 33.33 | 3.63 | 14.65 | 9.42 | 19.71 | 6.57 |
| Attalea speciosa Mart. ex Spreng. | 6 | 3.16 | 3 | 1.62 | 1.48 | 11.11 | 1.21 | 11.69 | 7.52 | 10.21 | 3.4 |
| Protium heptaphyllum (Aubl.) Marchand | 10 | 0.94 | 7 | 2.7 | 2.47 | 25.93 | 2.82 | 3.48 | 2.24 | 7.53 | 2.51 |
| Physocalymma scaberrimum Pohl | 8 | 1.79 | 3 | 2.16 | 1.98 | 11.11 | 1.21 | 6.62 | 4.26 | 7.44 | 2.48 |
| Tapirira guianensis Aubl. | 12 | 0.75 | 4 | 3.24 | 2.96 | 14.81 | 1.61 | 2.79 | 1.79 | 6.37 | 2.12 |
| Unonopsis guatterioides (A.DC.) R.E.Fr. | 6 | 1.4 | 3 | 1.62 | 1.48 | 11.11 | 1.21 | 5.2 | 3.34 | 6.03 | 2.01 |
| Alibertia edulis (Rich.) A.Rich. | 10 | 0.46 | 6 | 2.7 | 2.47 | 22.22 | 2.42 | 1.71 | 1.1 | 5.99 | 2 |
| Tachigali vulgaris L.G.Silva & H.C.Lima | 8 | 0.93 | 4 | 2.16 | 1.98 | 14.81 | 1.61 | 3.45 | 2.22 | 5.81 | 1.94 |
| Xylopia aromatica (Lam.) Mart. | 11 | 0.37 | 5 | 2.97 | 2.72 | 18.52 | 2.02 | 1.39 | 0.89 | 5.62 | 1.87 |
| Curatella americana L. | 6 | 0.85 | 4 | 1.62 | 1.48 | 14.81 | 1.61 | 3.15 | 2.02 | 5.12 | 1.71 |
| Calophyllum brasiliense Cambess. | 7 | 1.08 | 2 | 1.89 | 1.73 | 7.41 | 0.81 | 4 | 2.57 | 5.11 | 1.7 |
| Cordia sellowiana Cham. | 10 | 0.56 | 2 | 2.7 | 2.47 | 7.41 | 0.81 | 2.08 | 1.34 | 4.61 | 1.54 |
| Aspidosperma marcgravianum Woodson | 3 | 1.24 | 2 | 0.81 | 0.74 | 7.41 | 0.81 | 4.59 | 2.95 | 4.5 | 1.5 |
| Astrocaryum huaimi Mart. | 4 | 1.13 | 2 | 1.08 | 0.99 | 7.41 | 0.81 | 4.18 | 2.68 | 4.48 | 1.49 |
| Rhamnidium elaeocarpum Reissek | 7 | 0.09 | 6 | 1.89 | 1.73 | 22.22 | 2.42 | 0.35 | 0.23 | 4.37 | 1.46 |
| Astronium fraxinifolium Schott | 5 | 0.45 | 4 | 1.35 | 1.23 | 14.81 | 1.61 | 1.67 | 1.07 | 3.92 | 1.31 |
| Astronium urundeuva (M.Allemão) Engl. | 7 | 0.34 | 3 | 1.89 | 1.73 | 11.11 | 1.21 | 1.27 | 0.82 | 3.75 | 1.25 |
| Erisma uncinatum Warm. | 3 | 0.9 | 2 | 0.81 | 0.74 | 7.41 | 0.81 | 3.34 | 2.15 | 3.69 | 1.23 |
| Himatanthus articulatus (Vahl) Woodson | 5 | 0.15 | 5 | 1.35 | 1.23 | 18.52 | 2.02 | 0.54 | 0.35 | 3.6 | 1.2 |
| Cordiera macrophylla (K.Schum.) Kuntze | 9 | 0.18 | 2 | 2.43 | 2.22 | 7.41 | 0.81 | 0.68 | 0.44 | 3.46 | 1.15 |
| Other species | 241 | ||||||||||
| Total | 405 | 41.99 | 248 | 109.35 | 100 | 918.51 | 100 | 155.53 | 100 | 300 | 100 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Silva-Neto, C.d.M.e.; Mesquita, I.N.; Freitas, M.M.; Pinto, R.B.; Antunes, L.L.C.; Diniz, D.O.; Pereira, M.J.; Rocha, E.C.; Calil, F.N.; Telles, M.P.d.C. The Importance of the Araguaia Basin in Maintaining Forest Structure, Physiognomic Patterns, and Edaphic Heterogeneity. Forests 2026, 17, 1121. https://doi.org/10.3390/f17091121
Silva-Neto CdMe, Mesquita IN, Freitas MM, Pinto RB, Antunes LLC, Diniz DO, Pereira MJ, Rocha EC, Calil FN, Telles MPdC. The Importance of the Araguaia Basin in Maintaining Forest Structure, Physiognomic Patterns, and Edaphic Heterogeneity. Forests. 2026; 17(9):1121. https://doi.org/10.3390/f17091121
Chicago/Turabian StyleSilva-Neto, Carlos de Melo e, Indiara Nunes Mesquita, Maira Martins Freitas, Rafael Barbosa Pinto, Lorena Lana Camelo Antunes, Danielle Oliveira Diniz, Márcio Júnior Pereira, Ednaldo Cândido Rocha, Francine Neves Calil, and Mariana Pires de Campos Telles. 2026. "The Importance of the Araguaia Basin in Maintaining Forest Structure, Physiognomic Patterns, and Edaphic Heterogeneity" Forests 17, no. 9: 1121. https://doi.org/10.3390/f17091121
APA StyleSilva-Neto, C. d. M. e., Mesquita, I. N., Freitas, M. M., Pinto, R. B., Antunes, L. L. C., Diniz, D. O., Pereira, M. J., Rocha, E. C., Calil, F. N., & Telles, M. P. d. C. (2026). The Importance of the Araguaia Basin in Maintaining Forest Structure, Physiognomic Patterns, and Edaphic Heterogeneity. Forests, 17(9), 1121. https://doi.org/10.3390/f17091121

