Geobotanical indication of the drained state of disturbed peatlands for fire hazard assessment
Bibliographic record
Abstract
The issue of fire hazard in abandoned peatlands is particularly relevant nowadays, as the negative consequences of peatland fires lead to deterioration in public health and the functioning of the entire infrastructure system. The problem of predicting and assessing peat burning is a global one, with numerous studies being conducted not only in Russia but also abroad, i. e., in CIS countries, Southeast Asia, Canada, and the United States. However, the relationship between vegetation communities and the frequency of fires receives insufficient attention. The study is devoted to assessing the condition of degraded peatlands using geobotanical indicators of peat soils on the example of peatlands in Leningrad and Pskov regions. Three key objects were selected, which represent abandoned peat deposits. The methodology for assessing the fire hazard of peatlands is based on a comprehensive approach, including the creation of large-scale vegetation maps using a series of satellite images and field geobotanical descriptions, and the analysis of fires on objects for the period from 2000 to 2023 using satellite images and thermal data. As a result of the study, maps of fire frequency and duration and maps of natural-territorial complexes for each plot were obtained. The analysis of the relationship between vegetation communities and the frequency of fires showed that the species composition of the communities correlates relatively well with the time elapsed since the date of the last fire, and to a lesser extent with the duration of the fires. Indicative relationships between fire frequency and vegetation cover are quite strong, so the type of vegetation cover can be used as an indicator of fire frequency on a peatland. On territories with peat bogs with a sparse birch forest, fire occurs at least once every 5 years. On territories with sphagnum associations and reed swamp associations, fire occurs no more than once every 20 years.
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 | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".