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Record W2398724647 · doi:10.14288/1.0075112

Forest stand characteristics as indicators of hydrogeomorphic activity on fans

2009· article· en· W2398724647 on OpenAlexaff
David Wilford

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEnvironmental scienceHydrology (agriculture)Engineering

Abstract

fetched live from OpenAlex

Forested fans are common landforms in west central British Columbia. They can be subject to hydrogeomorphic processes ranging from debris flows to floods carrying bedload and woody debris. These processes represent hazards for forest management activities such as road construction and harvesting. Conversely, forest management activities can exacerbate the effect of natural hydrogeomorphic processes, increasing the level of disturbance on fan surfaces and in stream channels. This thesis presents the scientific basis for a hazard classification of fans for forest management. The classification is based on forest stand characteristics, airphoto and site features, and basic watershed attributes. Forest stands are used to determine the power of hydrogeomorphic events (floods, debris floods, and debris flows). High-power events clear swaths through a forest stand, which lead to the establishment of distinctive cohorts. Low-power events lead to the deposition of sediments under a forest canopy, which generally results in growth responses rather than mortality or removal of the forest stand. In cases where there is mortality, tree stems remain in situ rather than being cleared from the affected area. Site features of sediment deposits are used to determine the hydrogeomorphic process. Watershed attributes were determined for identifying hydrogeomorphic processes, power and disturbance extent level. The attributes are basic morphometric parameters such as watershed area and relief, and most can be measured directly from topographic maps without the use of geographic information systems (GIS). Dendroecological techniques were used to determine the number of events occurring on study fans. Regression equations were developed to predict the number of events in the past 50 years. The independent variables were watershed attributes that can be determined by a combination of topographic map measurements and GIS. An examination of 55 fans with forestry activities provides a comprehensive hazard perspective on key fan and watershed attributes, and on the influence of road construction and harvesting prescriptions in zones of fans that are subjective to active hydrogeomorphic processes. The hazard classification and the forestry activity review provide the first comprehensive basis for sustainable forest management on fans in British Columbia.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.004
GPT teacher head0.162
Teacher spread0.158 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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