N dynamics of leaf and root litter decomposition
Bibliographic record
Abstract
Litter nitrogen (N) release during decomposition crucially influences ecosystem N cycling and the amount of N available to plants and other soil organisms. However, the role of initial litter traits in affecting patterns of temporal N release from litters and determining the fate of N in the soil is still poorly understood. Here, we measured litter N release during the 12-month decomposition of 15N-labelled leaf and root litters of 12 common Mediterranean herbaceous species. We further traced the fate of N during decomposition of the litters into the soil and measured the inorganic N content in the soil solution as well as total N in the particulate (POM) and mineral-associated organic matter (MAOM) fractions at the end of the incubation. While most litters exhibited a very rapid initial N release, they were also quite variable in their N dynamics. As such they differed in the quantity and temporal patterns of N release, the accumulation of inorganic N in the soil solution, as well as in the incorporation of N in stable soil organic matter (SOM) fractions during decomposition. This variability was driven by differences in initial litter chemistry, particularly N, but also P and Mn, and litter C leachate concentrations. These and other traits (including water soluble compounds and lignin concentrations) explained up to 81% of the variance in N release rate, 48% for N accumulation in the soil solution, 57% for N entering the soil POM and 55% for MAOM fraction. Synthesis: We identified litter traits and litter types (root versus leaf) with afterlife effects on N cycling in soils and important implications for ecosystem functioning. Highly decomposable litters (typically high-N; including most leaf litters) generally support a fast N release through mineralisation, thereby the immediate supply of N to plants, but also potentially higher losses from the system, and long-term storage as MAOM-N, likely within microbial resynthesis products. In contrast, poorly decomposable litters (typically low-N; including most root litters) promote longer and weaker N release and foster N retention via lower N losses and increased POM-N formation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".