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Data · dataset · 2026

Successional Nitrogen Gradients Regulate Ectomycorrhizal Effects on Wood Decomposition

Listed in Teesside University Research Data Repository

Ectomycorrhizal (ECM) fungi are hypothesized to suppress organic matter decomposition by competing with saprotrophs for nitrogen (N) in N-limited ecosystems — the Gadgil effect.

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However, growing evidence indicates this interaction is highly context-dependent. Here, we tested whether ECM suppression is strongest in early-successional, N-limited forests and attenuates along a soil N gradient during succession.

We conducted a root-trenching experiment (excluding ECM hyphae while permitting saprotrophic access) across a chronosequence of temperate broad-leaved Korean pine mixed forests (80, 120, 250, ≥300 years) in Changbai Mountain, northeastern China. Standardized birch wood sticks were incubated for 730 days, with assessments of mass loss, carbon (C) loss, N and phosphorus (P) enrichment in wood, and fungal community composition.

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Contrary to a universal Gadgil effect, trenching accelerated mass loss by up to 41% within 365 days only in the youngest, N-poorest stand (80Y), coinciding with a dramatic 781% increase in the saprotrophic ascomycete Cudoniella and > 96% reduction in ECM fungi. This rapid response was accompanied by markedly enhanced wood N enrichment in trenched treatments during early decomposition in N-limited conditions. In older, N-richer stands, trenching effects on decomposition were delayed (significant only at 730 days) or strongly attenuated, with fungal communities shifting toward saprotrophic ascomycete dominance (e.g., Zopfiella in 250Y) and more modest changes in wood N and P enrichment patterns.

Overall, trenching increased saprotrophic ascomycetes by 54% and total saprotrophs by 35%. These findings demonstrate that ECM suppression of decomposition is most pronounced under acute N limitation in early succession and progressively diminishes as soil N accumulates, reconciling literature inconsistencies and emphasizing the need for dynamic, nutrient-sensitive models of fungal controls on temperate forest carbon cycling.

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