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Record W2902110565 · doi:10.1130/b31960.1

Morphodynamics of meandering streams devoid of plant life: Amargosa River, Death Valley, California

2018· article· en· W2902110565 on OpenAlexaffabout
Alessandro Ielpi

Bibliographic record

VenueGeological Society of America Bulletin · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCitationBeach morphodynamicsIconGeologyArchaeologyLibrary scienceGeographyPaleontology

Abstract

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Research Article| November 28, 2018 Morphodynamics of meandering streams devoid of plant life: Amargosa River, Death Valley, California Alessandro Ielpi Alessandro Ielpi † 1Harquail School of Earth Sciences, Laurentian University, Sudbury, Ontario P3E 2C6, Canada †aielpi@laurentian.ca Search for other works by this author on: GSW Google Scholar Author and Article Information Alessandro Ielpi † 1Harquail School of Earth Sciences, Laurentian University, Sudbury, Ontario P3E 2C6, Canada †aielpi@laurentian.ca Publisher: Geological Society of America Received: 03 Nov 2017 Revision Received: 30 May 2018 Accepted: 05 Sep 2018 First Online: 28 Nov 2018 Online Issn: 1943-2674 Print Issn: 0016-7606 © 2018 Geological Society of America GSA Bulletin (2019) 131 (5-6): 782–802. https://doi.org/10.1130/B31960.1 Article history Received: 03 Nov 2017 Revision Received: 30 May 2018 Accepted: 05 Sep 2018 First Online: 28 Nov 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Alessandro Ielpi; Morphodynamics of meandering streams devoid of plant life: Amargosa River, Death Valley, California. GSA Bulletin 2018;; 131 (5-6): 782–802. doi: https://doi.org/10.1130/B31960.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGSA Bulletin Search Advanced Search Abstract Vegetation-free fluvial meanders are exceptional on modern Earth, and their abundance in pre-Silurian rock records is debated. Whether or not landscapes devoid of plant life could sustain sinuous planforms is nonetheless a fundamental concept that could disclose parallels with extraterrestrial sedimentary realms. The sedimentology and morphometry of an extensive (∼200 km2) unvegetated meander plain in the lower Amargosa River (Death Valley, California, USA) is investigated through remote sensing and ground checking. Results reveal sinuous bends generated by channels <2 m deep and <35 m wide that migrated laterally for as much as 200 m at rates of <1.5 m/year. The Amargosa River's ephemeral regime excludes the proposal that discharge modulation directly aids meandering. Likewise, 97.7% of ground-checked meanders are devoid of plant life, ruling out direct control by vegetation on bank stability. Cohesion offered by mud-rich banks is predominant and aided by salt cementation, which also hinders wind erosion of fines. Overall, the meanders' morphometry is in overlap with that of other sinuous (vegetated) channels, pointing to shared scalar properties. Meanders span over a continuum of a few large channels with lower aspect (width:depth) ratios and abundant smaller channels with higher aspect ratios. The migration of larger meandering channels generates distinctive scrolls and inclined accretionary packages; the migration of smaller widespread meanders only generate sub-tabular sets, producing an undistinctive depositional record. These results make the Amargosa River topical for the analogue modeling of pre-vegetation rivers, and suggest that unvegetated meanders might have been overlooked in the rock record. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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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 categoriesScience and technology studies, Insufficient 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 score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.018
GPT teacher head0.224
Teacher spread0.205 · 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".

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Citations38
Published2018
Admission routes2
Has abstractyes

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