MétaCan
Menu
Back to cohort
Record W2300057520 · doi:10.14288/1.0228300

Stream channel morphology : comparison of logged and unlogged watersheds in the Queen Charlotte Islands

2010· article· en· W2300057520 on OpenAlexaff
Daniel Hogan

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsQueen (butterfly)Channel (broadcasting)GeographyComputer scienceTelecommunicationsBiologyZoology

Abstract

fetched live from OpenAlex

This study compares the morphology of coastal, gravel-bed streams in two unlogged and two logged Queen Charlotte Islands watersheds. This comparison quantifies the influence of logging and related activities on channel morphology and, consequently, the fresh water physical habitat of salmonids. Further, it provides a basis upon which to determine habitat rehabilitation criteria for disturbed channels. Pools and riffles are detailed because: a) they reflect changes in sediment supply; b) they are important fish habitats, and; c) their general character has been documented in previously published literature allowing application of geomorphological results to habitat evaluation. Longitudinal profiles conducted over relatively long channel segments located within each watershed indicate that channels in watersheds logged to the channel banks by old techniques have reduced pool-to-pool spacings and increased riffle amplitudes and magnitudes. There is an increase in channel stored sediment resulting in proportionally larger riffles and smaller pools. This represents a reduction in available rearing habitat. No significant differences exist in pool and riffle characteristics between unlogged watersheds and those logged by contemporary techniques. In all cases the pool and riffle character differed from most previously published results. Results obtained from detailed study reaches located within each channel segment show that large organic debris is a controlling factor influencing the morphology of these streams. Based upon a comparison of reaches, it is concluded that LOD characteristics are altered in the older logged channels. This includes a shift in the size distribution, with smaller material being more prevalent. Orientation of this material is also altered; more LOD is lying parallel to the flow direction, as opposed to the more common diagonal orientation found in unlogged channels. This shift in orientation is responsible for a reduction in channel width and depth variability, reduced sediment texture, fewer cut banks, smaller pool areas and decreased channel stability. This results in reduced habitat diversity and quality. No morphological differences were detected between unlogged and recently logged reaches. The architecture of unlogged channels can be duplicated to rehabilitate disturbed streams. Pool and riffle sequences should be spaced approximately 2½ channel widths apart and riffle magnitudes should average 0.013 m/m. LOD should play a major role in rehabilitation. Long pieces of debris should be placed either diagonally across the channel to increase depth and width variability and to store sediment or parallel to the flow if width is to be reduced. Diversity can be increased by placing large root wads to produce small scour holes. Only small debris steps, accounting for approximately 10% of the overall change in elevation should be used. This comparative study of channel morphology emphasizes the importance of critically evaluating basin morphometric properties and the role of LOD orientation. Further, it indicates that previous studies reporting average values and neglecting LOD provide insufficient detail to quantify fish habitat.

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)0.001
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 score0.877
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.180
Teacher spread0.174 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicHydrology and Sediment Transport ProcessesFrench-language works237,207