DOI: 10.5061/dryad.150r1jf
title: Data from: Explaining European fungal fruiting phenology with climate variability

description: Here we assess the impact of geographically dependent (latitude, longitude
 and altitude) changes in bioclimatic (temperature, precipitation and
 primary productivity) variability on fungal fruiting phenology across
 Europe. Two main nutritional guilds of fungi, saprotrophic and
 ectomycorrhizal, were further separated into spring and autumn fruiters.
 We used a path‐analysis to investigate how biogeographic patterns in
 fungal fruiting phenology coincided with seasonal changes in climate and
 primary production. Across central to northern Europe, mean fruiting
 varied by approximately 25 days, primarily with latitude. Altitude
 affected fruiting by up to 30 days, with spring delays and autumnal
 accelerations. Fruiting was as much explained by the effects of
 bioclimatic variability as by their large‐scale spatial patterns.
 Temperature drove fruiting of autumnal ectomycorrhizal and saprotrophic,
 as well as spring saprotrophic groups, while primary production and
 precipitation were major drivers for spring‐fruiting ectomycorrhizal
 fungi. Species‐specific phenology predictors were not stable, instead
 deviating from the overall mean. There is significant likelihood that
 further climatic change, especially in temperature, will impact fungal
 phenology patterns at large spatial scales. The ecological implications
 are diverse, potentially affecting food webs (asynchrony), nutrient
 cycling and the timing of nutrient availability in ecosystems.
description: ECY17-1266_Autumn10x10km_17jan2018Autumnal fruiting fungi data: 10 x 10 km grid resolution of species fruiting days (ordinal day; mean, 2.5 & 97.5 percentiles plus sample sizes) aggregated across 1970-2010. Associated bioclimatic meta-data for each grid are included as well. This dataset comprises fungal taxa fruiting in autumn.ECY17-1266_Spring10x10km_17jan2018Spring fruiting fungi data: 10 x 10 km grid resolution of species fruiting days (ordinal day; mean, 2.5 & 97.5 percentiles plus sample sizes) aggregated across 1970-2010. Associated bioclimatic meta-data for each grid are included as well. This dataset comprises fungal taxa fruiting in spring.ECY17-1266_AutumnEcto10x10km_17jan2018Autumnal ectomycorrhizal fruiting fungi data: 10 x 10 km grid resolution of species fruiting days (ordinal day; mean, 2.5 & 97.5 percentiles plus sample sizes) aggregated across 1970-2010. Associated bioclimatic meta-data for each grid are included as well. This dataset comprises ectomycorrhizal fungal taxa fruiting in autumn.ECY17-1266_SpringEcto10x10km_17jan2018Spring ectomycorrhizal fruiting fungi data: 10 x 10 km grid resolution of species fruiting days (ordinal day; mean, 2.5 & 97.5 percentiles plus sample sizes) aggregated across 1970-2010. Associated bioclimatic meta-data for each grid are included as well. This dataset comprises ectomycorrhizal fungal taxa fruiting in spring.ECY17-1266_AutumnSapro10x10km_17jan2018Autumnal saprotrophic fruiting fungi data: 10 x 10 km grid resolution of species fruiting days (ordinal day; mean, 2.5 & 97.5 percentiles plus sample sizes) aggregated across 1970-2010. Associated bioclimatic meta-data for each grid are included as well. This dataset comprises saprotrophic fungal taxa fruiting in autumn.ECY17-1266_SpringSapro10x10km_17jan2018Spring saprotrophic fruiting fungi data: 10 x 10 km grid resolution of species fruiting days (ordinal day; mean, 2.5 & 97.5 percentiles plus sample sizes) aggregated across 1970-2010. Associated bioclimatic meta-data for each grid are included as well. This dataset comprises saprotrophic fungal taxa fruiting in spring.