Gross soil N transformations and microbial communities in Luxembourg beech forest (Fagus sylvatica L.) soils along a pH gradient

Open Access
Authors
Publication date 02-2025
Journal Geoderma
Article number 117194
Volume | Issue number 454
Number of pages 14
Organisations
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
Abstract
Acidic and calcareous soils differ in nitrogen (N) cycling, yet the underlying gross N transformations remain unclear in temperate forests. To address this gap, we quantified gross N transformations and microbial abundances in the organic layer and mineral topsoil (0–5 cm) of four closely situated beech forests along a natural pH gradient. Gross N turnover accelerated from acidic to calcareous soils, with gross mineralization rates increasing 6-fold in the organic layer and 10-fold in the mineral topsoil. However, net N release did not increase accordingly due to concurrent increases in gross immobilization. Enhanced immobilization at higher pH reflected greater microbial N demand under bacterial dominance, evidenced by higher microbial N, lower microbial C:N ratios and reduced fungi-to-bacteria (F:B) ratios. Autotrophic nitrification also increased with pH, corresponding to elevated ammonium supply from gross mineralization and higher abundances of ammonia-oxidizers. Heterotrophic nitrification was much lower than autotrophic nitrification in calcareous soils but equally important in acidic soils. Net N release was restricted to the mineral topsoil, shifting from low ammonium and nitrate release in acidic soils, to substantial nitrate release in calcareous soils, potentially supporting greater plant species richness at high pH. Our results demonstrate that soil N supply mechanisms differ markedly along the pH gradient, from low immobilization at low pH to high nitrification at high pH, driven by shifts in fungal versus bacterial dominance and their distinct N demands. This improved understanding of microbial regulation of acidity-related soil N fertility is crucial for predicting forest responses to global climate disturbances.
Document type Article
Note With supplementary material.
Language English
Published at https://doi.org/10.1016/j.geoderma.2025.117194
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