MétaCan
Menu
Back to cohort
Record W2187294920

Hydrological impacts of mountain pine beetle infestation: potential for river channel changes

2013· article· en· W2187294920 on OpenAlexaboutno aff
Philip M. Marren, Marwan A. Hassan, Younes Alila

Bibliographic record

VenueIAHS-AISH publication · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
Fundersnot available
KeywordsHydrology (agriculture)SnowmeltChannel (broadcasting)Environmental scienceLoggingSedimentDrainage basinPlateau (mathematics)Vegetation (pathology)GeologyPhysical geographyGeomorphologyForestryGeographySnow
DOInot available

Abstract

fetched live from OpenAlex

Tree kill and salvage logging are profoundly changing the hydrology of mountain pine beetle-infested, snowmelt-dominated catchments. Baker Creek, located in the interior plateau of British Columbia, Canada, is in the heart of the infested region. This study relates observed and modelled changes in hydrology to geomorphic controls to predict the potential for channel change. Modelling using the Distributed-Hydrology-Soil-Vegetation-Model indicates that discharge is highly sensitive to tree kill and salvage logging, with increases of 65―100% possible. It was found that low-gradient reaches typical of the interior plateau are likely to be relatively insensitive to channel change, but will become significant sediment stores as sediment is mobilized elsewhere in the catchment. Higher gradient reaches, which typically occur where interior rivers incise to meet the Fraser River, are more susceptible to change. A geomorphic threshold classification was able to identify change channel thresholds. Salvage harvesting scenarios exceeding 40% cause some reaches to cross stability thresholds, with the potential for significant changes in channel morphology.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.012
GPT teacher head0.233
Teacher spread0.221 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueIAHS-AISH publicationSame topicHydrology and Sediment Transport ProcessesFrench-language works237,207