Present and future distribution models for chestnut in the Iberian Peninsula

  1. Álvarez-Álvarez, Pedro 1
  2. Aviñoa-Arias, Adrián 12
  3. Díaz-Varela, Emilio Rafael 3
  4. López-Bao, José Vicente 14
  5. Pérez-Girón, José Carlos 56
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Brown Bear Foundation
  3. 3 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

  4. 4 Consejo Superior de Investigaciones Científicas
    info

    Consejo Superior de Investigaciones Científicas

    Madrid, España

    ROR https://ror.org/02gfc7t72

  5. 5 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  6. 6 Andalusian Inter-University Institute for Earth System Research (IISTA-CEAMA)

Editor: Zenodo

Ano de publicación: 2024

Tipo: Dataset

CC BY 4.0

Resumo

Current and future distribution of chestnut trees in the Iberian Peninsula developed in the manuscript "Changes in chestnut potential range in the Iberian Peninsula under climate change" These predictions were derived through computational modeling utilizing various environmental parameters. Specifically, the model integrated topographical features such as slope, northness (cosine of aspect), or eastness (sine of aspect),  soil attributes including pH and soil organic carbon content (SOC), and bioclimatic variables sourced from the CHELSA V.2.1 dataset. File Naming Convention Explanation: "C_sativa_Current.tif" denotes the model representing the current distribution of C. sativa. In other instances, such as "C_sativa_md_ensemble_ssp370_2011-2040.tif": "md_ensemble" indicates the median ensemble, while "mn_ensemble" signifies the mean ensemble. In cases where the model is solely based on a General Circulation Model (GCM), the term "md_ensemble" or "mn_ensemble" is replaced by the specific model used. "ssp370" or "ssp585" corresponds to the climate change scenario derived from CMIP6 GCMs. The timeframe "2011-2040," "2041-2070," or "2071-2100" denotes the period under evaluation.