Rapid increases in fine root biomass and production following cessation of anthropogenic disturbances in degraded forests
Bibliographic record
Abstract
Abstract Despite the critical importance of fine roots (FRs, ø ≤ 2 mm) in terrestrial carbon and nutrient cycling, we know little about FR dynamics following cessation of anthropogenic disturbances in degraded forests. We hypothesized that (a) FR biomass and production increase rapidly following cessation of anthropogenic disturbances and then decline with stands ageing and (b) FR mortality and turnover are highest in degraded forests due to recurring disturbances. We used a replicated chronosequence to examine the effect of cessation of disturbances on FR dynamics by sampling stands with ongoing anthropogenic disturbances such as fuelwood collection and domestic animal grazing and stands after 6, 11, 21, and 31 years prohibited from anthropogenic disturbances using mountain closure in subtropical forests of eastern China. We found that FR biomass and production increased rapidly from stands without closure to those after 6 years of closure. As stands overmatured, biomass and production declined and stabilized thereafter. Both FR mortality and turnover decreased over time from stands without closure and after 6 years of closure to those closed for longer times. Biomass, production, and mortality correlated positively with the proportion of bamboo, overstorey species richness, and herb layer cover, whereas turnover rate correlated negatively with stand density and basal area. Our results show evidence for rapid increases in FR biomass and production following cessation of anthropogenic disturbances. Our results suggest that stand‐level FR dynamics following mountain closure are influenced by changes in overstorey species composition and richness and understorey vegetation cover.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".