Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities (Q11362)

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Dataset published at Zenodo repository.
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Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities
Dataset published at Zenodo repository.

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    Datasets used in the analysis of the manuscriptby Graco-Roza, C., Aarnio, S., Abrego, N., Acosta, A. T., Alahuhta, J., Altman, J., ... Soininen, J. (2022). Distance decay 2.0a global synthesis of taxonomic and functional turnover in ecological communities. Global Ecology and Biogeography. raw_data.zip -Includes the raw datasets used in the analysis. processed_data.xlsx -Includes the results from the distance decay analysis, specifically: - Dataset : dataset code (same as in raw_data) - Beta_type: The component of beta diversity (i.e., total similarity, replacement, richness differences) - Level : Taxonomic (TAX) or functional (FUN) - Based: Occurrence (occ) or Abundance (abund) - Organism: Code used to describe organisms (see Appendix S1 of the paper) - Realm: Aquatic, Terrestrial, or Freshwaters - Body_size - Dispersal_mode: Seeds, Passive or Active - Latitude: Mean latitude of the dataset (average of all data points) - Latitude_range Distance in kilometres between the two vertically most distantpoints. - Longitude_range:Distance in kilometres between the two horizontallymost distantpoints. - spa_min: minimum distance between sites (in kilometres) - spa_mean: average distance between sites (in kilometres) - spa_max: maximum distance between sites (in kilometres) - ext: area in kilometres covered by all sites in the dataset - n_sites: Number of sites in each dataset - n_var: Number of environmental variables in each dataset - gamma_spe: Number of species observed in each dataset - gamma_trait: Volume of the hypervolume constructed using the traits in each dataset - n_traits: Number of traits in each dataset - Intercept_spa: Intercept of GLM including community similarity and spatial distances - Slope_Spa:Slope of GLM including community similarity and spatial distances - R2_spa: Rof GLM including community similarity and spatial distances - Intercept_env: Intercept of GLM including community similarity and environmental distances - Slope_env: Slope of GLM including community similarity and environmental distances - R2_env: R of GLM including community similarity and environmental distances - Mantel_spa: Mantel statistics of community similarity and spatial distances - spa_signif: Significance of Mantel statistics considering community similarity and spatial distances - Mantel_env:Mantel statistics considering community similarity and environmental distances - env_signif:Significance of Mantel statistics considering community similarity and environmentaldistances Null_models.zip -Includes the results from the null models for each dataset.
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    1 April 2022
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