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Record W4405264212 · doi:10.1002/esp.6051

River confinement and braiding loss in Canterbury region, Aotearoa New Zealand

2024· article· en· W4405264212 on OpenAlexafffund
Victoria Barlow, Peter Ashmore

Bibliographic record

VenueEarth Surface Processes and Landforms · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaMassey UniversityUniversity of Canterbury
KeywordsChannel (broadcasting)AotearoaIntensity (physics)PredictabilityGeologyHydrology (agriculture)TelecommunicationsPhysicsComputer scienceGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract In relation to the wider concern that rivers in Aotearoa New Zealand have been narrowed by river control and land‐use encroachment, and that iconic braided patterns are being lost, nine braided rivers from the Canterbury region were studied to compare river width, pattern type and braiding intensity between the mid‐1900s and the present based on mapping from aerial images. Channel narrowing occurred along >90% (~490 km) of the length of the rivers studied, 375 km of which were historically braided. In total, the rivers narrowed by an average of 43% (48% for braided reaches). Coinciding with narrowing, braided reaches lost 1.3 channels, on average. Overall, 20% (over 100 km) length of the rivers recorded a change from braided to more simple pattern types including wandering (~18%) and single channel (~1%). The relationship of channel width and pattern change demonstrates the predictability of braiding change based on channel narrowing. As channels narrow, the likelihood of pattern simplification and change increases, although the amount of narrowing required to induce change depends on the initial width and pattern. Narrowing causes a reduction of braiding intensity even when the channel pattern remains braided. Based on these results, a predictor of channel pattern change and reduction of braiding intensity, based only on channel width and width change, can be applied to aid room‐for‐river management plans for conserving or restoring braided river morphologies. Channel width provides a general criterion for the prediction of braiding intensity and channel pattern threshold illustrating the scale‐related effects on channel pattern.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.565

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 communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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.

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

Citations5
Published2024
Admission routes2
Has abstractyes

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