Bibliographic record
Abstract
Contributors Preface Acknowledgments 1 Strengthening Fire Ecology's Roots I. Introduction II. Processes III. Transfer Rates and Budgets IV. Examples of Traditional vs. Proposed Approach References 2 Flames I. Introduction II. Basic Aspects of Combustion in Forest Fires III. Temperature, Velocity, Species Concentration, and Flame Height IV Premixed and Diffusion Flames V. Extinction of Diffusion Flames VI. Diffusion Flames and Scaling Analysis VII. Spreading Flames VIII. Structure of Flame Base IX. Conclusions Notation References 3 Combustion Chemistry and Smoke I. Introduction II. Fuel Chemistry and Combustion III. Smoke Production IV. Minimizing Smoke Production V. Conclusions References 4 Water Relations of Forest Fuels I. Introduction II. Forest Fuels III. Fuel Moisture Relationships IV. Moisture Content Estimation Notation Additional Reading References 5 Wildland Fire Spread Models I. Introduction II. Head Fire Rate of Spread (Physical Principles and their Mathematical Embodiment) III. Head Fire Rate of Spread: Australia IV. Head Fire Rate of Spread: United States V. Head Fire Rate of Spread: Canada VI. Smoldering VII. Whole Fire Modeling-Fire Shape Notation References 6 Wind-Aided Fire Spread I. Introduction II. Laboratory-Scale Setup III. Fire Spread Model IV. Preliminary Testing of the Model V. Test Results for the Effect of Wind Speed and Fuel Loading on the Rate of Fire Spread VI. Conclusions Notation Recommended Reading References 7 Fire Plumes I. Introduction II. Modeling Fire Temperature Maxima III. Plumes above Fires in a Cross Wind Notation References 8 Coupling Atmospheric and Fire Models I. Introduction II. Vorticity Dynamics in a Fire III. Coupling between Atmosphere and Fire IV. The Elements of Fire Modeling V. Modeling the Atmosphere VI. The Coupled Fire-Atmosphere Modeling Approach VII. Idealized Studies of Wildfire Behavior VIII. Infrared Observations of Fires IX. Conclusions and Future Work Appendix I. Circulation and Vorticity Appendix II. Development of Vertical Rotation in a Frictionless Fluid Appendix III. Generation of Vertical Motion in Rotating Convective Cells Notation References 9 Surface Energy Budget and Fuel Moisture I. Introduction II. Evapotranspiration Processes and the Meteorological Controlling Factors III. Estimation of Potential Evapotranspiration Rates IV. Functional Dependence of PET and AET V. Characteristics of PET VI. Near-Surface Environment VII. Models of Land-Surface Interactions VIII. Remote Sensing of the Surface Energy Budget IX. Fire Weather Rating Systems Notation Suggested Reading List References 10 Climate, Weather, and Area Burned I. Introduction II. Weather and Area Burned-Synoptic Surface Features III. Weather and Area Burned-Upper Air Features IV. Teleconnections V. Future Warming and Area Burned VI. Summary References 11 Lightning and Forest Fires I. Introduction II. Lightning III. Previous Studies of Lightning-Initiated Fire IV. Interaction between Lightning and Fuels V. How Ignition Occurs VI. Ignition Experiments with Real Forest Fuels VII. Generating Models for Operational Use VIII. Smoke, Lightning, and Cloud Microphysics IX. Global Implications of Lightning Ignition Characteristics X. Conclusion References 12 Statistical Inference for Historical Fire Frequency Using the Spatial Mosaic I. Introduction II. Graphical Analysis III. Statistical Inference with Prespecified Change Points IV. The Efficiency of Sample vs. Map Data V. Determining Epochs of Constant Fire Frequency References 13 Duff Consumption I. Introduction II. Characteristics of Duff III. Empirical Studies of Duff Consumption IV. Flaming Combustion V. Smoldering Combustion and Pyrolysis VI. Models of Smoldering Combustion VII. Contribution of Smoldering Combustion Models to Understanding of Duff Consumption Notation References 14 Fire Effects on Trees I. Introduction II. Effects of Fire on the Tree Bole III. Effects of Fire on Canopy Components IV. Root Necrosis V. Tree Mortality VI. Discussion Notation Additional Readings References 15 Forest Fire Management I. Introduction II. The Relationship between Fire and Forest Land Management Objectives III. Assessing Fire Impacts IV. Forest Fire Management Organizations V. Level of Fire Protection Planning VI. Some Challenges Further Reading References Index
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".