in

How climate, Indigenous people, and fire shaped Brazil’s Araucaria Forests through the Late Holocene


Abstract

For millennia, climate changes and Indigenous peoples have influenced Earth’s tropical and subtropical forests. Their relative importance affects our understanding of these ecosystems’ resilience to current anthropogenic changes, so is subject to intensive research and debate. South America’s Atlantic Forest, a global biodiversity hotspot, has been largely absent from this conversation. Here we focus on one of this region’s most iconic, ancient and threatened formations—southern Brazil’s highland mosaic of Araucaria Forest and Campos grasslands. Using novel integrations of palaeo-data and ecological modelling, we assess how climatic and human drivers shaped these landscapes, often through changes to fire dynamics, over the last 6,000 years. We show that climate changes made significant contributions to Araucaria Forest expansions over the last several thousand years, driven by non-linear responses of fire-forest feedback loops to minor climatic shifts. However, within Araucaria Forest areas that experienced more intense human use and occupation, Indigenous people cultivated crops, modified fire dynamics, and profoundly affected vegetation structure and composition. Our results challenge binary views of climate- versus human-driven past vegetation change. Climate, humans and fire all shaped these landscapes through space and time in complex and interacting ways, all of which must be considered to understand or effectively conserve them.

Data availability

Synthesised palaeoecological proxy data and all modelling results are available in the supplementary information. New palaeoecological proxy data will be publicly archived upon publication.

References

  1. Lewis, S. L., Edwards, D. P. & Galbraith, D. Increasing human dominance of tropical forests. Science 349, 827–832 (2015).

    Google Scholar 

  2. Ferreira, J. et al. Carbon-focused conservation may fail to protect the most biodiverse tropical forests. Nat. Clim. Chang. 8, 744–749 (2018).

    Google Scholar 

  3. de Souza, J. G. et al. Climate change and cultural resilience in late pre-Columbian Amazonia. Nat. Ecol. Evol. 3, 1007–1017 (2019).

    Google Scholar 

  4. Hotspots Revisited. Earth’s Biologically Richest and Most Endangered Terrestrial Ecoregions. Conserv. Int. vol. 392 CEMEX, Mexico City, (2004).

  5. Bellard, C. et al. Vulnerability of biodiversity hotspots to global change. Glob. Ecol. Biogeogr. 23, 1376–1386 (2014).

    Google Scholar 

  6. Sloan, S., Jenkins, C. N., Joppa, L. N., Gaveau, D. L. A. & Laurance, W. F. Remaining natural vegetation in the global biodiversity hotspots. Biol. Conserv. 177, 12–24 (2014).

    Google Scholar 

  7. MapBiomas Trinational Atlantic Forest Project. – Collection 1 of annual land use and land cover maps, accessed on 26/10/2021 via https://bosqueatlantico.mapbiomas.org

  8. Neves, D. M. et al. Dissecting a biodiversity hotspot: The importance of environmentally marginal habitats in the Atlantic Forest Domain of South America. Divers. Distrib. 23, 898–909 (2017).

    Google Scholar 

  9. Wilson, O. J., Mayle, F. E., Walters, R. J., Lingner, D. V. & Vibrans, A. C. Floristic change in Brazil’s southern Atlantic Forest biodiversity hotspot: From the Last Glacial Maximum to the late 21st Century. Quat. Sci. Rev. 264, 107005 (2021).

    Google Scholar 

  10. Wilson, O. J. & Mayle, F. E. A conservation assessment of Brazil’s iconic and threatened Araucaria Forest-Campos mosaic. Biol. Conserv. 296, 110650 (2024).

    Google Scholar 

  11. Iganci, J. R. V., Heiden, G., Miotto, S. T. S. & Pennington, R. T. Campos de Cima da Serra: The Brazilian Subtropical Highland Grasslands show an unexpected level of plant endemism. Bot. J. Linn. Soc. 167, 378–393 (2011).

    Google Scholar 

  12. Zorek, B. E., Biswas, S., Brum, F. T., Leimgruber, P. & Carlucci, M. B. How much Araucaria Mixed Forest remains? Novel perspectives on conservation status based on satellite imagery and policy review. Biol. Conserv. 296, 110723 (2024).

    Google Scholar 

  13. Duarte, L. D. S., Bergamin, R. S., Marcilio-Silva, V., Seger, G. D. D. S. & Marques, M. C. M. Phylobetadiversity among forest types in the Brazilian Atlantic Forest complex. PLoS One https://doi.org/10.1371/journal.pone.0105043 (2014).

    Google Scholar 

  14. Oliveira-Filho, A. T., Budke, J. C., Jarenkow, J. A., Eisenlohr, P. V. & Neves, D. R. M. Delving into the variations in tree species composition and richness across South American subtropical Atlantic and Pampean forests. J. Plant Ecol. 8, 242–260 (2014).

    Google Scholar 

  15. Sühs, R. B. & Giehl, E. L. H. Peroni, N. Preventing traditional management can cause grassland loss within 30 years in southern Brazil. Sci. Rep. 10, 783 (2020).

    Google Scholar 

  16. Forest, F. et al. Gymnosperms on the EDGE. Sci. Rep. 8, 6053 (2018).

    Google Scholar 

  17. Wilson, O. J., Walters, R. J., Mayle, F. E., Lingner, D. V. & Vibrans, A. C. Cold spot microrefugia hold the key to survival for Brazil’s Critically Endangered Araucaria tree. Glob. Change Biol. 25, 4339–4351 (2019).

    Google Scholar 

  18. Rodríguez-Zorro, P. A. et al. Alternate Atlantic forest and climate phases during the early Pleistocene 41 kyr cycles in southeastern Brazil. Quat. Sci. Rev. 286, 107560 (2022).

    Google Scholar 

  19. Santos, M. C. P. et al. Holocene settlement, stratigraphy and chronology at the site of Uruguai 1-sector 1, Foz do Chapecó archaeological area, South Brazil. J. Archaeol. Sci. Rep. 39, 103113 (2021).

    Google Scholar 

  20. de Souza, J. G., Corteletti, R., Robinson, M. & Iriarte, J. The genesis of monuments: Resisting outsiders in the contested landscapes of southern Brazil. J. Anthropol. Archaeol. 41, 196–212 (2016).

    Google Scholar 

  21. de Souza, J. G. & Riris, P. Delayed demographic transition following the adoption of cultivated plants in the eastern La Plata Basin and Atlantic coast, South America. J. Archaeol. Sci. 125, 105293 (2021).

    Google Scholar 

  22. Iriarte, J., Moehlecke Copé, S., Fradley, M., Lockhart, J. J. & Gillam, J. C. Sacred landscapes of the southern Brazilian highlands: Understanding southern proto-Je mound and enclosure complexes. J. Anthropol. Archaeol. 32, 74–96 (2013).

    Google Scholar 

  23. Scheel-Ybert, R. & Boyadjian, C. Gardens on the coast: Considerations on food production by Brazilian shellmound builders. J. Anthropol. Archaeol. 60, 101211 (2020).

    Google Scholar 

  24. Corteletti, R., Dickau, R., DeBlasis, P. & Iriarte, J. Revisiting the economy and mobility of southern proto-Jê (Taquara-Itararé) groups in the southern Brazilian highlands: Starch grain and phytoliths analyses from the Bonin site, Urubici, Brazil. J. Archaeol. Sci. 58, 46–61 (2015).

    Google Scholar 

  25. Iriarte, J. & Behling, H. The expansion of Araucaria forest in the southern Brazilian highlands during the last 4000 years and its implications for the development of the Taquara/Itararé Tradition. Environ. Archaeol. 12, 115–127 (2007).

    Google Scholar 

  26. Bitencourt, A. L. V. & Krauspenhar, P. M. Possible prehistoric anthropogenic effect on Araucaria angustifolia (Bert.) O. Kuntze expansion during the late Holocene. Rev. Bras. Paleontol. 9, 109–116 (2006).

    Google Scholar 

  27. dos Reis, M. S., Ladio, A. & Peroni, N. Landscapes with Araucaria in South America: Evidence for a cultural dimension. Ecol. Soc. 19, 43 (2014).

    Google Scholar 

  28. Aubreville, A. Quelques problèmes forestiers du Brésil. La forêt de pins de Parana, les plantations d’eucalyptus. Bois et Forêts des. Tropiques. 6, 102–117 (1948).

    Google Scholar 

  29. Rodrigues, J. M., Behling, H. & Giesecke, T. Holocene dynamics of vegetation change in southern and southeastern Brazil is consistent with climate forcing. Quat. Sci. Rev. 146, 54–65 (2016).

    Google Scholar 

  30. Behling, H., Pillar, V. D., Orlóci, L. & Bauermann, S. G. Late Quaternary Araucaria forest, grassland (Campos), fire and climate dynamics, studied by high-resolution pollen, charcoal and multivariate analysis of the Cambará do Sul core in southern Brazil. Palaeogeogr. Palaeoclimatol. Palaeoecol. 203, 277–297 (2004).

    Google Scholar 

  31. Jeske-Pieruschka, V. & Behling, H. Palaeoenvironmental history of the São Francisco de Paula region in southern Brazil during the late Quaternary inferred from the Rincão das Cabritas core. Holocene 22, 1251–1262 (2012).

    Google Scholar 

  32. de Oliveira Portes, M. C. G., Safford, H. & Behling, H. Humans and climate as designers of the landscape in Serra da Bocaina National Park, southeastern Brazil, over the last seven centuries. Anthropocene 24, 61–71 (2018).

    Google Scholar 

  33. Behling, H. & Pillar, V. Late Quaternary vegetation, biodiversity and fire dynamics on the southern Brazilian highland and their implication for conservation and management of modern Araucaria forest and grassland ecosystems. Philos. Trans. R. Soc. Lond. B Biol. Sci. 362, 243–251 (2007).

    Google Scholar 

  34. Robinson, M. et al. Uncoupling human and climate drivers of late Holocene vegetation change in southern Brazil. Sci. Rep. 8, 7800 (2018).

    Google Scholar 

  35. Pereira Cruz, A. et al. Pre-colonial Amerindian legacies in forest composition of southern Brazil. PLoS One 15, e0235819 (2020).

    Google Scholar 

  36. Lauterjung, M. B. et al. Phylogeography of Brazilian pine (Araucaria angustifolia): Integrative evidence for pre-Columbian anthropogenic dispersal. Tree Genet. Genomes 14, 36 (2018).

    Google Scholar 

  37. Vasconcellos, M. M. et al. Evaluating the impact of historical climate and early human groups in the Araucaria Forest of eastern South America. Ecography e06756 (2024). (2024).

  38. IBGE – Instituto Brasileiro de Geografia e Estatística. Mapeamento de Recurso Naturais Do Brasil: Escala 1:250.000. (2018).

  39. Souza, C. M. et al. Reconstructing three decades of land use and land cover changes in Brazilian biomes with Landsat archive and Earth Engine. Remote Sens. 12, 2735 (2020).

    Google Scholar 

  40. Bernal, J. P. et al. High-resolution Holocene South American monsoon history recorded by a speleothem from Botuverá Cave, Brazil. Earth Planet. Sci. Lett. 450, 186–196 (2016).

    Google Scholar 

  41. Piraquive Bermúdez, D., Theuerkauf, M. & Giesecke, T. Towards quantifying changes in forest cover in the Araucaria forest-grassland mosaic in southern Brazil. Veg. Hist. Archaeobot. https://doi.org/10.1007/s00334-021-00841-2 (2021).

    Google Scholar 

  42. Cárdenas, M. L., Wilson, O. J., Schorn, L. A., Mayle, F. E. & Iriarte, J. A quantitative study of modern pollen–vegetation relationships in southern Brazil’s Araucaria forest. Rev. Palaeobot. Palynol. 265, 27–40 (2019).

    Google Scholar 

  43. Roth, L., Luisa Lorscheitter, M. & Masetto, E. Paleoenvironments of the last 24,000 years on the extreme northern Rio Grande do Sul coastal plain, southern Brazil. Quatern. Int. 571, 117–126 (2021).

    Google Scholar 

  44. Scherer, C. & Lorscheitter, M. L. Vegetation dynamics in the southern Brazilian highlands during the last millennia and the role of bogs in Araucaria forest formation. Quatern. Int. 325, 3–12 (2014).

    Google Scholar 

  45. Silva, L. C. R. & Anand, M. Mechanisms of Araucaria (Atlantic) forest expansion into southern Brazilian grasslands. Ecosystems 14, 1354–1371 (2011).

    Google Scholar 

  46. Jeske-Pieruschka, V., Fidelis, A., Bergamin, R. S., Vélez, E. & Behling, H. Araucaria forest dynamics in relation to fire frequency in southern Brazil based on fossil and modern pollen data. Rev. Palaeobot. Palynol. 160, 53–65 (2010).

    Google Scholar 

  47. de Souza, J. G. Rethinking households, communities and status in the southern Brazilian highlands. J. Anthropol. Archaeol. 52, 44–58 (2018).

    Google Scholar 

  48. Leonhardt, A. & Lorscheitter, M. L. The last 25,000 years in the Eastern Plateau of Southern Brazil according to Alpes de São Francisco record. J. South Am. Earth Sci. 29, 454–463 (2010).

    Google Scholar 

  49. Behling, H., Bauermann, S. G. & Neves, P. Holocene environmental changes in the Sao Francisco de Paula region, southern Brazil. J. South Am. Earth Sci. 14, 631–639 (2001).

    Google Scholar 

  50. Dümig, A., Schad, P., Rumpel, C., Dignac, M. F. & Kögel-Knabner, I. Araucaria forest expansion on grassland in the southern Brazilian highlands as revealed by 14C and δ13C studies. Geoderma 145, 143–157 (2008).

    Google Scholar 

  51. Spalding, B. & Lorscheitter, M. L. Dry and humid phases in the highlands of southern Brazil during the last 34,000 years, and their influence on the paleoenvironments of the region. Quat. Int. 377, 102–111 (2015).

    Google Scholar 

  52. Behling, H. Late quaternary vegetation, climate and fire history of the Araucaria forest and campos region from Serra Campos Gerais, Paraná State (South Brazil). Rev. Palaeobot. Palynol. 97, 109–121 (1997).

    Google Scholar 

  53. Overbeck, G. E., Scasta, J. D., Furquim, F. F., Boldrini, I. I. & Weir, J. R. The South Brazilian grasslands – A South American tallgrass prairie? Parallels and implications of fire dependency. Perspect. Ecol. Conserv. 16, 24–30 (2018).

    Google Scholar 

  54. Müller, S. C., Overbeck, G. E., Blanco, C. C., de Oliveira, J. M. & Pillar, V. D. South Brazilian Forest-Grassland Ecotones: Dynamics Affected by Climate, Disturbance, and Woody Species Traits In (ed. Myster, R. W.) (2012).

  55. van Nes, E. H. et al. Fire forbids fifty-fifty forest. PLoS One 13, e0191027 (2018).

    Google Scholar 

  56. Whitney, B. S. et al. Pre-Columbian raised-field agriculture and land use in the Bolivian Amazon. Holocene 24, 231–241 (2014).

    Google Scholar 

  57. de Souza, J. G., Mateos, J. A. & Madella, M. Archaeological expansions in tropical South America during the late Holocene: Assessing the role of demic diffusion. PLoS One 15, e0232367 (2020).

    Google Scholar 

  58. Gomes, T. C. C. Paisagens culturais e biodiversidade: Mudanças socioecológicas e estratégias locais para conservação na Terra Indígena Laklãnõ. Santa Catarina Brasil 82 (2018).

  59. de Souza, J. G. et al. Understanding the chronology and occupation dynamics of oversized pit houses in the southern Brazilian highlands. PLoS One 11, 1–24 (2016).

    Google Scholar 

  60. Moreira, P. A., Steenbock, W., Peroni, N. & Dos Reis, M. S. Genetic diversity and mating system of bracatinga (Mimosa scabrella) in a re-emergent agroforestry system in southern Brazil. Agroforest. Syst. 83, 245–256 (2011).

    Google Scholar 

  61. Mello, A. J. M. & Peroni, N. Cultural landscapes of the Araucaria Forests in the northern plateau of Santa Catarina, Brazil. J. Ethnobiol. Ethnomed. 11, 51 (2015).

    Google Scholar 

  62. Schallenberger, L. S. & Machado, G. D. O. Uso de produtos de origem florestal pelos índios Kaingang da reserva indígena de Mangueirinha ( PR ). Rev. Acad. Ciênc. Agrár. Ambient. 11, 163–172 (2013).

    Google Scholar 

  63. Scheel-ybert, R., Caromano, C. F. & Azevedo, L. W. De. Of Forests and Gardens: Landscape, Environment, and Cultural Choices in Amazonia, Southeastern and Southern Brazil From C. 3000 To 300 Cal Yrs BP. Cadernos do LEPAARQ. 13, 425–458 (2016).

    Google Scholar 

  64. Noelli, F. S. & De Souza, J. G. Novas perspectivas para a cartografia arqueológica Jê no Brasil meridional. Bol. Mus. Para. Emílio Goeldi. Ciênc. Hum. 12, 57–84 (2017).

    Google Scholar 

  65. Sühs, R. B., Rosa, F. S., Silveira, J., Peroni, N. & Giehl, E. L. H. The influence of fire and cattle grazing on Araucaria population structure in forest-grasslands mosaics. Flora 281, 151853 (2021).

    Google Scholar 

  66. Robinson, M. et al. Moieties and mortuary mounds: Dualism at a Mound and Enclosure Complex in the Southern Brazilian Highlands. Lat. Am. Antiq. 28, 232–251 (2017).

    Google Scholar 

  67. Réus Gonçalves Da Rosa, R. O Território Xamânico Kaingang Vinculado às Bacias Hidrográficas e à Floresta de Araucária. Cadernos do LEPAARQ (UFPEL) 2, 99–116 (2005).

    Google Scholar 

  68. Corteletti, R., Labrador, B. & DeBlasis, P. An Archaeology of Social Jê Landscapes at Urubici, Santa Catarina. In Historical Ecology and Landscape Archaeology in Lowland South America 151–179 (Springer, 2023). https://doi.org/10.1007/978-3-031-32284-6_7.

    Google Scholar 

  69. Tagliari, M. M. et al. Collaborative management as a way to enhance Araucaria Forest resilience. Perspect. Ecol. Conserv. 19, 131–142 (2021).

    Google Scholar 

  70. Ribeiro, M. C., Metzger, J. P., Martensen, A. C., Ponzoni, F. J. & Hirota, M. M. The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation. Biol. Conserv. 142, 1141–1153 (2009).

    Google Scholar 

  71. Whitney, B. S. et al. Constraining pollen-based estimates of forest cover in the Amazon: A simulation approach. Holocene 29, 262–270 (2019).

    Google Scholar 

  72. Cruz, F. W. Orbital and Millennial-Scale Precipitation Changes in Brazil from Speleothem Records In (eds Vimeux, F. et al.) (2009).

  73. Riris, P. & Arroyo-Kalin, M. Widespread population decline in South America correlates with mid-Holocene climate change. Sci. Rep. 9, 6850 (2019).

    Google Scholar 

  74. Becerra-Valdivia, L., Leal-Cervantes, R., Wood, R. & Higham, T. Challenges in sample processing within radiocarbon dating and their impact in 14C-dates-as-data studies. J. Archaeol. Sci. 113, 105043 (2020).

    Google Scholar 

  75. Bevan, A. et al. Package ‘rcarbon’: Calibration and Analysis of Radiocarbon Dates. Preprint at (2022). https://doi.org/10.1016/j.jas.2014.08.011

  76. Grantham, H. S. et al. Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity. Nat. Commun. 11, 1–10 (2020).

    Google Scholar 

  77. Olson, D. M. et al. Terrestrial ecoregions of the world: A new map of life on Earth. BioScience 51, 933–938 (2001).

    Google Scholar 

  78. de Lima, R. A. F. et al. How much do we know about the endangered Atlantic Forest? Reviewing nearly 70 years of information on tree community surveys. Biodivers. Conserv. 24, 2135–2148 (2015).

    Google Scholar 

  79. Zwiener, V. P. et al. Planning for conservation and restoration under climate and land use change in the Brazilian Atlantic Forest. Divers. Distrib. 23, 955–966 (2017).

    Google Scholar 

  80. Zizka, A. et al. CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases. Methods Ecol. Evol. 10, 744–751 (2019).

    Google Scholar 

  81. Brown, J. L. et al. Seeing the forest through many trees: Multi-taxon patterns of phylogenetic diversity in the Atlantic Forest hotspot. Divers. Distrib. 26, 1160–1176 (2020).

    Google Scholar 

  82. Aiello-Lammens, M. E., Boria, R. A., Radosavljevic, A., Vilela, B. & Anderson, R. P. spThin: An R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38, 541–545 (2015).

    Google Scholar 

  83. Yannic, G., Hagen, O., Leugger, F., Karger, D. N. & Pellissier, L. Harnessing paleo-environmental modeling and genetic data to predict intraspecific genetic structure. Evol. Appl. 13, 1526–1542 (2020).

    Google Scholar 

  84. Karger, D. N., Nobis, M., Normand, S., Graham, C. & Zimmermann, N. CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum. Clim. Past Discuss. https://doi.org/10.5194/cp-2021-30 (2021).

    Google Scholar 

  85. NASA, M. E. T. I., AIST, Spacesystems, J., Team, U. S. & Japan, A. S. ASTER Global Digital Elevation Model V003. Preprint at (2019). https://doi.org/10.5067/ASTER/ASTGTM.003

  86. Ashcroft, M. B., Chisholm, L. A. & French, K. O. The effect of exposure on landscape scale soil surface temperatures and species distribution models. Landsc. Ecol. 23, 211–225 (2008).

    Google Scholar 

  87. McCune, B. & Keon, D. Equations for potential annual direct incident radiation and heat load. J. Veg. Sci. 13, 603–606 (2002).

    Google Scholar 

  88. McCune, B. Improved estimates of incident radiation and heat load using non-parametric regression against topographic variables. J. Veg. Sci. 18, 751–754 (2007).

    Google Scholar 

  89. Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4, 170122 (2017).

    Google Scholar 

  90. Velazco, S. J. E., Galvão, F., Villalobos, F. & De Marco, P. Using worldwide edaphic data to model plant species niches: An assessment at a continental extent. PLoS ONE 12, 1–24 (2017).

    Google Scholar 

  91. Thuiller, W., Georges, D., Engler, R. & Breiner, F. biomod2: Ensemble Platform for Species Distribution Modeling. Preprint at (2016).

  92. Kass, J. M. et al. ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions. Methods Ecol. Evol. 12, 1602–1608 (2021).

    Google Scholar 

  93. Fourcade, Y., Besnard, A. G. & Secondi, J. Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics. Glob. Ecol. Biogeogr. https://doi.org/10.1111/geb.12684 (2017).

    Google Scholar 

  94. Di Cola, V. et al. ecospat: An R package to support spatial analyses and modeling of species niches and distributions. Ecography 40, 774–787 (2017).

    Google Scholar 

  95. Hirzel, A. H., Le Lay, G., Helfer, V., Randin, C. & Guisan, A. Evaluating the ability of habitat suitability models to predict species presences. Ecol. Modell. 199, 142–152 (2006).

    Google Scholar 

  96. Behling, H., Verissimo, N., Bauermann, S., Bordignon, S. & Evaldt, A. Late Holocene Vegetation History and Early Evidence of Araucaria angustifolia in Caçapava do Sul in the Lowland Region of Rio Grande do Sul State, Southern Brazil. Brazilian Archives Biology Technology 59, (2016).

  97. Blaauw, M. et al. rbacon: Age-Depth Modelling using Bayesian Statistics. Preprint at (2020).

  98. Blaauw, M. & Christen, J. A. Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Anal. 6, 457–474 (2011).

    Google Scholar 

  99. Hogg, A. G. et al. SHCal20 Southern Hemisphere Calibration, 0–55,000 Years cal BP. Radiocarbon 62, 759–778 (2020).

    Google Scholar 

  100. Heaton, T. J. et al. Marine20—The Marine Radiocarbon Age Calibration Curve (0–55,000 cal BP). Radiocarbon 62, 779–820 (2020).

    Google Scholar 

  101. Faegri, K. & Iversen, J. Textbook of Pollen Analysis. Textbook of pollen analysis (John Wiley & Sons Ltd., 1989).

    Google Scholar 

  102. Whitney, B. S., Rushton, E. A. C., Carson, J. F., Iriarte, J. & Mayle, F. E. An improved methodology for the recovery of Zea mays and other large crop pollen, with implications for environmental archaeology in the Neotropics. Holocene 22, 1087–1096 (2012).

    Google Scholar 

  103. Colinvaux, P. A., de Oliveira, P. E. & Moreno Patiño, J. E. Amazon Pollen Manual and Atlas (Harwood Academic, 1999).

    Google Scholar 

  104. Hooghiemstra, H. Vegetational and Climatic History of the High Plain of Bogota, Colombia: A Continuous Record of the Last 3.5 Million Years. Dissertationes Botanicae vol. 79J. Cramer, (1984).

  105. Roubik, D. W. & Moreno, J. E. Pollen and Spores of Barro Colorado Island (Panama). In Monographs in Systematic Botany (Missouri Botanical Garden, 1991).

    Google Scholar 

  106. Behling, H. Untersuchungen zur Spatpleistozänen und Holozänen Vegetations- und Klimageschichte der Tropischen Kustenwalder und der Araukarienwälder in Santa Catarina (Sudbrasilien). Dissertationes Botanicae vol. 206 (J. Cramer, 1993).

  107. Bush, M. B. & Weng, C. Introducing a new (freeware) tool for palynology. J. Biogeogr. 34, 377–380 (2007).

    Google Scholar 

  108. Long, C. J., Whitlock, C., Bartlein, P. J. & Millspaugh, S. H. A 9000-year fire history from the Oregon Coast Range, based on a high-resolution charcoal study. (1998).

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Acknowledgements

Locations of southern Jê archaeological sites were kindly provided by Jonas G. de Souza (JGdS). This study made use of the University of Reading Academic Computing Cloud. OJW thanks Philip Riris for help with the palaeoclimate variability analysis and M. Jane Bunting for logistical support while undertaking this research. This study was funded by an AHRC-FAPESP research grant, ‘Je Landscapes of southern Brazil: Ecology, History and Power in a transitional landscape during the Late Holocene’ (AH/K004212/1) to JI and FEM, with MLC as appointed PDRA. FEM and JI thank JGdS for assistance with fieldwork and collection of the Abreu e Garcia and Amaral cores. CL acknowledges funding from ANID FB210006 to the IEB. OJW was supported by a University of Reading Graduate Teaching Assistant PhD studentship and a NERC Knowledge Exchange Fellowship (NE/X001660/1) at the University of York. CAD was supported by a NERC SCENARIO DTP award at the University of Reading. For the purposes of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any author accepted manuscript version arising.

Funding

This study was funded by an AHRC-FAPESP research grant, ‘Je Landscapes of southern Brazil: Ecology, History and Power in a transitional landscape during the Late Holocene’ (AH/K004212/1) to JI and FEM, with MLC as appointed PDRA. CL acknowledges funding from ANID FB210006 to the IEB. OJW was supported by a University of Reading Graduate Teaching Assistant PhD studentship and a NERC Knowledge Exchange Fellowship (NE/X001660/1) at the University of York. CAD was supported by a NERC SCENARIO DTP award at the University of Reading.

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Contributions

The overall aim of the study was conceived by FEM and OJW. The project design and methodological approach was devised by OJW. OJW undertook the ENM development, palaeoclimate analysis, and syntheses of palaeoecological and archaeological data. HB provided raw data for a number of palaeoecological records. FEM and JI collected the study’s new sediment cores which were prepared and analysed for palaeo-proxies by MLC (pollen, charcoal) and CL (stable isotopes). OJW and FEM interpreted the results with MLC. OJW drafted the manuscript, which all authors reviewed before submission.

Corresponding author

Correspondence to
Oliver J. Wilson.

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Wilson, O.J., Cárdenas, M.L., Latorre, C. et al. How climate, Indigenous people, and fire shaped Brazil’s Araucaria Forests through the Late Holocene.
Sci Rep (2026). https://doi.org/10.1038/s41598-026-41607-y

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