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Modelling Mediterranean oak palaeolandscapes using the MaxEnt model algorithm: The case of the NE Iberia under the Middle Holocene climatic scenario

  • Datos identificativos

    Identificador:  imarina:9291508
    Autores:  Mas, B; Riera, S; Allu, E
    Resumen:
    The Mediterranean Basin is a global biodiversity hotspot, and oak tree species play an important role in it. Since the beginning of the Holocene (∼11.4 kyr BP), the distribution of forests has not occurred uniformly, resulting in diverse types of vegetation landscapes. In this study, we used a maximum entropy algorithm (MaxEnt) to obtain the ecological niche model (ENM) of two sub-Mediterranean oak species, Quercus pubescens Willd. (pubescent oak) and Quercus ilex subsp. ilex (holm oak), both in the present day in the Iberian Peninsula and within a Middle Holocene (8.2–4.2 kyr BP) climatic scenario in the NE Iberian Peninsula. Moreover, we used the locations of Neolithic archaeological sites containing anthracological data to analyze the relationship between human occupations and oak habitats. Our results suggest that the two oaks have responded differently to the climatic conditions that have occurred, and show changes in both potential distributions. The palaeolandscape vegetation map shows a denser vegetation cover in the lowlands and a more open landscape in the highlands, with a higher dominance of Quercus pubescens in the septentrional areas, while Quercus ilex was more restricted to certain coastal areas. Temperature and precipitation factors, mainly seasonal climatic conditions, have had a greater impact on the distribution of vegetation than other factors. We found a good overlap between the ENM of the two oaks and the locations of the Neolithic sites analysed, and determined that the distribution of Neolithic archaeological sites is not random. The Neolithic populations in the study area depended heavily on the resources of the deciduous and evergreen sub- Mediterranean forest, although they also exploited the resources of the mountain pine forest. Neolithic sites distribution suggests that Neolithic human groups were aware of the potential of forests and probably gathered woody resources in their surroundings.
  • Otros:

    Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S1574954123000134
    Referencia de l'ítem segons les normes APA: Mas, B; Riera, S; Allu, E (2023). Modelling Mediterranean oak palaeolandscapes using the MaxEnt model algorithm: The case of the NE Iberia under the Middle Holocene climatic scenario. Ecological Informatics, 74(), 101984-. DOI: 10.1016/j.ecoinf.2023.101984
    Referencia al articulo segun fuente origial: Ecological Informatics. 74 101984-
    DOI del artículo: 10.1016/j.ecoinf.2023.101984
    Año de publicación de la revista: 2023-05-01
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2026-05-09
    Autor/es de la URV: Allué Martí, Ethel Ann
    Departamento: Història i Història de l'Art
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Mas, B; Riera, S; Allu, E
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Modeling and simulation, Ecology, evolution, behavior and systematics, Ecology, Ecological modeling, Computer science applications, Computational theory and mathematics, Ciência da computação, Biodiversidade, Applied mathematics
    Direcció de correo del autor: ethelann.allue@urv.cat, ethelann.allue@urv.cat
  • Palabras clave:

    Neolithic populations
    Mediterranean oaks
    Maximum entropy model
    Ecological niche models
    Climate change
    Anthracology
    woodland vegetation
    species distribution
    pine forests
    neolithic transition
    midholocene vegetation
    glacial refugia
    firewood exploitation
    environmental-change
    charcoal analysis
    Applied Mathematics
    Computational Theory and Mathematics
    Computer Science Applications
    Ecological Modeling
    Ecology
    Evolution
    Behavior and Systematics
    Modeling and Simulation
    Ciência da computação
    Biodiversidade
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