Contribution of Plant Litter in Fragments of Dry Tropical Forest in Paraíba
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Deposition of plant litter in the environment represents the entrance into the system, with reflection on soil organic matter content and environmental quality of the site. The objective of this study was to estimate the deposition, accumulation and decomposition of plant litter in preserved Caatinga vegetation, and the interference of climatic variability in the dynamics of these events. This research was developed in the Private Natural Heritage Reserve (RPPN), Tamanduá Farm, in the municipality of Santa Terezinha-PB, in a Caatinga area. Plant litter deposited in 20 twenty 1.0 m² litterfall traps of 1.0 m × 1.0 m was collected monthly (June/2014 to July/2015), covering the dry and rainy period of the region. The material was separated into leaves, branches + bark, reproductive material and miscellaneous material. Litter stock accumulated on the forest floor was quantified using a 0.5 m × 0.5 m metal frame to estimate decomposition rate of litter. We found that that leaves fraction obtained the highest deposition average in July 2014 with 395.80 kg ha-1 and the lowest in February/2015 with 9.5 kg ha-1. We concluded that that litter production obtained during the evaluation period was 2.2 mg ha-1, being the highest contribution of litter at the end of the rainy season of the region.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 it