METHODS article
Front. Environ. Archaeol.
Sec. Landscape and Geological Processes
Volume 4 - 2025 | doi: 10.3389/fearc.2025.1587670
This article is part of the Research TopicTheory and Method in Environmental Archaeology: Human Impact on Past EcosystemsView all articles
Investigating Pre-Columbian floristic legacy effects using machinelearning in the southern Atlantic Forest, Brazil
Provisionally accepted- 1Bournemouth University, Poole, United Kingdom
- 2Department of Palynology and Climate Dynamics, Faculty of Biology and Psychology, University of Göttingen, Göttingen, Lower Saxony, Germany
- 3Department of Humanities, Pompeu Fabra University, Barcelona, Balearic Islands, Spain
- 4Max Planck Institute for Geoanthropology, Jena, Thuringia, Germany
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The scope and scale of past human impacts on both historic and current vegetation is of widespread interest in the historical sciences. In the Atlantic Forest of southern Brazil (Portuguese: Mata Atlântica), previous work has identified Amerindian settlement and land-use as a probable driver of the extent and composition of forest cover, with time-extended legacies that remain detectable in modern floristic inventories. Previously published investigations into the ecological history of the southern Atlantic Forest have either eschewed the role of humans or, where anthropogenic drivers are explicitly examined, utilized spatially restricted environmental datasets, necessarily limiting the generalizability their conclusions. This study aims to redress this gap, and to quantify the impact of past Amerindian Pre-Columbian settlement and associated land use on the modern-day distribution of several key plant species across the entire southern Atlantic Forest. We fit Maxent species distribution models (SDMs) using Indigenous archaeological site locations (Tupi-Guarani and southern Jê) and modern plant species occurrence data (35 unique species) in a comparative analytical framework to investigate Indigenous influence on the likelihood of occurrence of culturally significant or medicinal plant species. Our results indicate that i) the inclusion of archaeological settlement location data and SDM predictions as covariates can improve the performance of contemporary floristic species distribution modelling and should be incorporated into ecological models of plant species in landscapes with long-standing human presence, especially when they are used to inform policy that explicitly aims to preserve 'natural' biomes and; ii) a synanthropic relationship can be demonstrated between the southern Jê and Araucaria angustifolia, a finding that complements previously published phylogeographic and palaeoenvironmental studies exploring the same link.
Keywords: SDM, Atlantic forest, geospatial, archaeoecology, Maxent
Received: 04 Mar 2025; Accepted: 26 Aug 2025.
Copyright: © 2025 Harris, Behling, Gregorio De Souza, Reinhardt, Roberts and Riris. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Barney Harris, Bournemouth University, Poole, United Kingdom
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.