Effect of Alnus nepalensis cultivation on soil biological and physicochemical properties during restoration near a phosphate smelter in Kunyang, Yunnan Province, SW China
Bibliographic record
Abstract
In this study, soil physicochemical properties, microbial community structure and nematode assemblages were investigated to assess the soil qualities of an in situ phosphate mine after up to 10 years of revegetation with the nurse plant Alnus nepalensis.Our results showed that A. nepalensis cultivation significantly decreased the total P concentration, suggesting the high remediation potential.Moreover, A. nepalensis improved the levels of soil-available N and K and promoted the growth of microorganisms, as suggested by the 1.45-and even 3.26fold increase in microbial carbon (MBC) and nitrogen (MBN), respectively, after 10 years of remediation.Soil enzyme activities relating to C (β-glucosidase), N (urease) and P (acid phosphatase) were also stimulated.The sum of the indicator phospholipid fatty acids (PLFAs) and the Gram-positive and -negative bacteria also increased significantly after restoration.The nematode density increased gradually from zero in untreated soils to 2.3 g -1 of soil after 10 years of restoration, at which time the highest percentage of plant parasites was observed.Cluster analysis produced three clusters: cultivation for 0 and 1 years in cluster 1; 2, 3 and 4 years in cluster 2; and 5 and 10 years in cluster 3.These results showed that both the nutrient pools and the stability of the soil ecosystems in the revegetated soils were gradually reestablished and that the enzyme activities (β-glucosidase and urease), the microbial community (sum of PLFAs, G + : G -) and the nematode assemblage (density and plant parasite percentage) might be used as valid bioindicators for soil heath after contamination remediation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.000 | 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".