Data from: Ectomycorrhizal fungi are more sensitive to high soil nitrogen levels in forests exposed to nitrogen deposition
Data files
Jan 05, 2024 version files 105.11 KB
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ECM_counts.csv
20.70 KB
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EMF_clusters_UNITE_refs.xlsx
56.18 KB
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env_data.csv
2.82 KB
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ergosterol.csv
498 B
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InorgN.csv
2.25 KB
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N_dep_data.csv
20.35 KB
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README.md
2.31 KB
Abstract
Ectomycorrhizal fungi are essential for nitrogen cycling in many temperate forests and responsive to anthropogenic nitrogen addition, which generally, decreases host carbon allocation to the fungi. In the boreal region, however, ectomycorrhizal fungal biomass has been found to correlate positively with soil nitrogen availability. Still, responses to anthropogenic input, for instance through atmospheric deposition, are commonly negative.
To elucidate whether variation in nitrogen supply affects ectomycorrhizal fungi differently depending on geographical context, we investigated ectomycorrhizal fungal communities along two fertility gradients across nemo-boreal forests with similar ranges in soil N/C ratios and inorganic nitrogen availability but located in regions with contrasting rates of nitrogen deposition.
Ectomycorrhizal biomass and community composition remained relatively stable across the nitrogen-gradient with low atmospheric nitrogen deposition, but biomass decreased, and the community changed more drastically, with increasing nitrogen availability in the gradient subjected to higher rates of nitrogen deposition. Moreover, potential activities of enzymes involved in ectomycorrhizal mobilisation of organic nitrogen decreased as N/C ratios increased.
In forests with low external input, we propose that stabilising feedbacks in tree-fungal interactions maintain ectomycorrhizal fungal biomass and communities even in highly fertile soils. In contrast, anthropogenic nitrogen input seems to impair ectomycorrhizal functions.
Data belonging to:
“Ectomycorrhizal fungi are more sensitive to high soil nitrogen levels in forests exposed to nitrogen deposition” by Jörgensen K., Clemmensen K., Wallander H., Lindahl BD. in New Phytologist
Important note about .csv files\
all .csv files use “,” and “;” delimiters which would limit re-use if not accounted for. The accompanying code on Zenodo does account for the formatting of the files.
Description of column headings in the data sets:
File: ECM_counts.csv
Column name Description
sample_ID unique sample sample ID
tot_count total number of sequence counts
Columns C:LG Sequence counts of fungal clusters obtained by single linkage clustering with bioinformatics pipeline SCATA.
File: env_data.csv
Column name Description
site_ID Site ID
Region Levels: 2 (S = nemoral, U = boreal)
NH4_gOM continuous, mg ammonium-N per g organic matter
NO3_gOM continuous, mg nitrate-N per g organic matter
pH continuous, soil pH
NAG_OM continuous, N-acetylglucosaminidase activity normalised per g organic matter
aP_OM continuous, acid phosphatase activity normalised per g organic matter
MnP_OM continuous, manganese peroxidase activity normalised per g organic matter
N_C nitrogen/carbon ratio
OM_cont organic matter content (proportional)
File: ergosterol.csv
Column name Description
sample_ID Sample ID
ergosterol_gOM continuous, normalised per g organic matter
File: InorgN.csv
Column name Description
Site ID Site ID
Month Levels: 3 (sep = September, okt = October, nov = November)
NH4-N mg/gOM continuous, mg ammonium-N per g organic matter
NO3-N mg/gOM continuous, mg nitrate-N per g organic matter
File: N_dep_data.csv
Column name Description
site Site ID
Year Numeric (years 1998-2018)
reduced_N continuous, mg reduced N forms per m2 and year
oxidized_N continuous, mg oxidized N forms per m2 and year
File: EMF_clusters_UNITE_refs.xlsx
Column name Description
Cluster ID Cluster ID from the SCATA bioinformatics pipeline
2018 UNITE SH Reference to UNITE SH where applicable
Columns C:K Taxonomy of ectomycorrhizal clusters. “n/a” is noted if taxonomy could not be assign to a certain level.
Rep. seq. Ref- or Rep-seq in UNITE. “n/a” is used when there was no Ref- or Rep-seq in UNITE.
Sequence1 Most common sequence in cluster from SCATA bioiinformatics pipeline