Hunter-gatherer impacts on interglacial vegetation: a modelling approach

Anastasia Nikulina*, Katharine MacDonald, Anhelina Zapolska, Maria Antonia Serge, Didier M. Roche, Florence Mazier, Marco Davoli, Jens Christian Svenning, Wees D van, Elena A. Pearce, Ralph Fyfe, Wil Roebroeks, Fulco Scherjon

*Corresponding author for this work

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Abstract

This article focuses on hunter-gatherer impact on interglacial vegetation in Europe, using a case study from the Early Holocene (9200–8700 BP). We present a novel agent-based model, hereafter referred to as HUMLAND (HUMan impact on LANDscapes), specifically developed to define key factors in continental-level vegetation changes via assessment of differences between pollen-based reconstruction and dynamic global vegetation model output (climate-based vegetation cover). The identified significant difference between these two datasets can be partially explained by the difference in the models themselves, but also by the fact that climate is not the sole factor responsible for vegetation change. Sensitivity analysis of HUMLAND showed that the intensity of anthropogenic vegetation modification mainly depended on three factors: the number of groups present, their preferences for vegetation openness around campsites, and the size of an area impacted by humans. Overall, both climate and human activities had strong impacts on vegetation openness during the study period. Our modelling results support the hypothesis that European ecosystems were strongly shaped by human activities already in the Mesolithic.
Original languageEnglish
Article number108439
Number of pages0
JournalQuaternary Science Reviews
Volume324
Issue number0
Early online date15 Jan 2024
DOIs
Publication statusPublished - 15 Jan 2024

ASJC Scopus subject areas

  • Global and Planetary Change
  • Ecology, Evolution, Behavior and Systematics
  • Archeology (arts and humanities)
  • Archeology
  • Geology

Keywords

  • Agent-based modelling
  • Europe
  • HUMLAND
  • Hunter-gatherers
  • Landscape burning
  • Vegetation modelling

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