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Record W6958693079 · doi:10.6084/m9.figshare.1197009

IUFRO Spotlight #14: Wildfire projected to spread like, well, wildfire

2014· article· en· W6958693079 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural pest management studies
Canadian institutionsnot available
Fundersnot available
KeywordsWildfire suppressionClimate changeGlobal warmingService (business)Natural disasterNatural resourceFire ecologyGlobal change

Abstract

fetched live from OpenAlex

A recently published study: Global Wildland Fire Season Severity in the 21st Century, indicates that in coming decades, conventional approaches to wildfire management may no longer be effective. It appears in a Forest Ecology and Management journal special issue entitled The Mega-fire reality, published by Elsevier. The study is a first global review that shows the extent of the increasing length of the fire season and the increasing fire weather severity. It gives a "state of the science" assessment of global fire and climate change and an indication of the strength and trajectory of change in future fire regimes. The publication provides fire managers from countries around the world with a global picture of expected fire season severity increases. The results indicate the importance of sharing resources for increased fire protection capacity as well as the importance of early warning as a means of preventing or mitigating disaster fires. Referring to recent disastrous fires in Australia in '09, Russia in '10 and Texas and other U.S. states in '11 as possible precursors of what is coming, the publication reinforces its underlying message that fire management is going to be greatly challenged in the future and new policy/strategy development is needed. The authors – Mike Flannigan of the University of Alberta, Department of Renewable Resources; Mike Wotton of the Faculty of Forestry, University of Toronto and the Canadian Forest Service of Natural Resources Canada; and Alan S. Cantin, William J. de Groot, Alison Newbery and Lynn M. Gowman of the Canadian Forest Service of Natural Resources Canada – say fire severity will increase significantly across most of the earth by the end of the century, but especially in the Northern Hemisphere where it could be three times greater by that time. Globally, along with the increased severity, more area is expected to burn and there will be increased fire occurrence and greater fire intensity. In turn, that will result in more severe fire seasons and an increase in fire control difficulty. Many parts of the world, such as tropical areas and the Mediterranean region already have a full-year fire season, but in northern high latitudes, fire season lengths will, by the end of the century, increase by more than 20 days a year. The consistency in the results suggesting significant increases may, according to the authors, be attributed to the role temperature plays in fire activity. Almost the entire globe is expected to warm this century and, the authors note, numerous studies suggest temperature is the most important variable affecting annual wildland fire activity and warmer temperatures lead to increased fire activity. The study notes four factors that strongly influence fire – fuels, ignition agents, climate/weather and people but adds that we cannot change the weather, nor can we significantly modify lightning activity. The remaining options are to reduce human-caused ignitions (through education, restricting or excluding the use of fire and by rigorous enforcement of existing policies) and to modify fuels. The authors note that fuels cannot be treated on a global scale but could be treated on a local level near areas of high value. The full study can be found at:

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.059
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0060.005
Open science0.0030.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0590.022

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.

Opus teacher head0.020
GPT teacher head0.206
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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