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Record W2965640514 · doi:10.1080/11956860.2019.1646064

Spatial heterogeneity of wind-eroded soil particles around <i>Nitraria tangutorum</i> nebkhas in the Ulan Buh Desert

2019· article· en· W2965640514 on OpenAlexvenueno aff
Xia Pan, Yong Gao, Yang Liu, Zhenyi Wang

Bibliographic record

VenueEcoscience · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsnot available
Fundersnot available
KeywordsShrubAeolian processesAridEnvironmental scienceLandformSpatial distributionErosionRange (aeronautics)Soil scienceHydrology (agriculture)GeologyEcologyGeomorphologyRemote sensing

Abstract

fetched live from OpenAlex

Nitraria tangutorum is a widely distributed shrub in the Jilantai Salt Lake at the southwest edge of Ulan Buh Desert. Due to their role in increasing soil fertility, nebkhas (coppice dunes) are regarded as important components of arid land ecosystems. Yet, despite their frequent occurrence, little information exists regarding their dust fall effect and influence range. We investigated the grain size distribution around N. tangutorum at a small scale (within 10 m) according to four wind directions and analyzed the spatial heterogeneity of particles. The amount of non-erodible particles (>0.85 mm) increased with distance from the shrub. The amount of erodible (<0.45 mm) and semi-erodible particles (0.45–0.85 mm) showed an opposite trend, indicating that the shrubs have a protective effect. The dominant particles around the shrubs were non-erodible due to long term accelerated wind erosion and subsequent removal of fine particles.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.213
Teacher spread0.200 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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