How do understorey fires in deciduous forests affect soil properties? Insights from Eastern India
Bibliographic record
Abstract
Understorey forest fires in tropical dry deciduous forests are an ecologically significant yet understudied phenomena, particularly in India, where such fires occur frequently but have been largely overlooked for decades. This study examines the effects of understorey fires on the physicochemical properties of in-situ lateritic soils (Haplustalfs, Paleustalfs, and Ustifluvents, as per USDA Soil Taxonomy) in the eastern Indian state of West Bengal. During the 2024 fire season (February–May), soil samples were collected from 12 sites, comparing burnt and unburnt patches at depths of 0–5 cm, 5–10 cm, and 10–20 cm. Fire temperatures recorded at three sites using infrared pyrometers ranged from approximately 500°C to 1100°C, with a fire spread rate of about 8 m/hr. The predominant soil textures in the study area are sandy clay loam and sandy loam. The results reveal that understorey fires significantly (p < 0.05) altered the topsoil (0–5 cm), increasing pH, electrical conductivity (EC), organic carbon (OC), nitrogen (N), potassium oxide (K₂O), and organic matter (OM), likely due to ash deposition and the partial combustion of organic material. We also observed a significant reduction of bulk density (BD) at the 0–5 cm depth in burnt areas, likely due to the loss of fine roots and soil moisture during the fire, which would cause loosening of the soil structure. However, no significant differences were observed in aggregate stability, Visual Evaluation of Soil Structure (VESS) scores, base cation concentrations (Ca, Mg, Na), phosphorus (P₂O₅) or cation exchange capacity (CEC) between burnt and unburnt sites. Minimal changes were recorded at depths beyond 5 cm, attributed to limited heat penetration and the absence of pyrogenic residues. These results diverge from the general understanding of fire effects on soil properties. In ecoregions dominated by highly flammable vegetation, such as coniferous forests and grasslands (e.g. in US, Canada or Australia), large-scale crown fires disrupt entire forest ecosystems and effectuate heat-induced alterations and nutrient volatilisation, which profoundly affect soil properties. On the contrary, understorey fires in deciduous forests primarily influence the forest floor, predominantly consuming low-lying vegetation, leaf litter, and organic matter, resulting in turn in immediate nutrient enrichment in the topsoil (0–5 cm), which may facilitate post-fire vegetation recovery. The observed soil changes are driven more by ash deposition and incomplete combustion of organic matter than by nutrient volatilisation, distinguishing them from the more intense fire behaviours elsewhere. These variations in fire intensity and behaviour likely explain the differences in soil responses. However, the long-term risks of ash depletion and nutrient loss through water-driven erosion pose significant concerns for post-fire forest landscapes, potentially degrading soil productivity, disrupting forest regeneration, and threatening overall ecosystem resilience. These findings emphasize the need for comprehensive research to fully comprehend the long-term implications of understorey fires in tropical dry deciduous forests.
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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 | 0.001 |
| 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) | 0.000 | 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".