Table 1.
The fungal and open‐access environmental covariates used to investigate fungal richness patterns in Europe.a , b
| Covariate | Temporal resolution (finest) | Approx. spatial resolution (finest) | Data source | Reference |
|---|---|---|---|---|
| Fungal richness | Dynamic (daily) | <1× 1 km | ClimFun | Andrew et al., 2017 |
| Tree species richness | Static (single point) | 20 × 20 km | EU‐Forest | Mauri et al., 2017 |
| Climate (19 variables) | Static (single point) | 1 × 1 km | WorldClim | Hijmans et al., 2005 |
| Climate (2 variables) | Dynamic (daily) | 20 × 20 km | E‐OBS | Haylock et al., 2008 |
| NDVI (mean, max.) | Static (single point) | 10 × 10 km | ECOCAST | Pinzon and Tucker, 2014 |
| NDVI (mean, max.) | Dynamic (annual) | 10 × 10 km | ECOCAST | Pinzon and Tucker, 2014 |
| Soil organic carbon (%) | Static (single point) | 1 × 1 km | JRC‐ESDAC | Jones et al., 2005 |
| Land use (3 levels) | Static (single point) | 1 × 1 km | CLC (2006) | www.eea.europa.eu |
| Land use (main) | Dynamic (annual) | 20 × 20 km | ISAM‐HYDE | Meiyappan and Jain, 2012 |
| N dep. (NHx, NOy) | Dynamic (monthly) | 20 × 20 km | GHG Europe | europe-fluxdata.eu/ghg-europe |
NDVI = normalized difference vegetation index.
a
The explanatory variables were available as either temporally static (one time point) or dynamic (multiple time points) values. They were linked up with the collections data as precisely as possible, and then the means, minima, and/or maxima were calculated across 1970–2010 in 50 × 50‐km grids for analyses.