Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities
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2022-04-01, 2022-04-01
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Soininen, Janne
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dataset
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Description
Datasets used in the analysis of the manuscript by Graco-Roza, C., Aarnio, S., Abrego, N., Acosta, A. T., Alahuhta, J., Altman, J., ... & Soininen, J. (2022). Distance decay 2.0–a 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 distant points.
- Longitude_range: Distance in kilometres between the two horizontally most distant points.
- 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: R² of 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: R² 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 environmental distances
Null_models.zip - Includes the results from the null models for each dataset.