Published April 1, 2022 | Version v2

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

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.

 

 

 

 

 

Files

Null models.zip

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