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Record W3150752765

Variation of soil water in Caragana microphylla woodlands with runoff-gathering project,Gansu of northwestern China

2014· article· en· W3150752765 on OpenAlexaff
Yang Fa

Bibliographic record

VenueBeijing Linye Daxue xuebao · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsEnvironmental scienceSurface runoffWoodlandWater contentAridSoil waterHydrology (agriculture)PrecipitationWater balanceAgronomyAgroforestrySoil scienceGeographyEcologyGeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Low precipitation is the major constraint for plant growth in the semi-arid region of Loess plateau in China. Runoff regulation has been proved to be a promising approach to increase the utilization of precipitation and local water supply. The objective of this study was to investigate the soil water and plant growth conditions in Dingxi semi-arid area 14 years after applying runoff regulation project on slopeseparated flat terraces( SSFT) in the years with maximum or minimum rainfall. The results showed that in the long-term drought conditions,there were regular changes for the soil moisture content in the different areas of the SSFT,control area,slope-separated and flat terraces,soil moisture higher in control area than in slope-separated flat area,and higher in flat area than in slope-separated area,however the differences were insignificant. Under the condition of continuous drought,soil water in both of Caragana microphylla woodland and control area was in lower level with average soil moisture only 5%. It is true that runoff regulation project could effectively control soil and water loss,increase soil water in C.microphylla woodland,improve water supply to the grass and wood growth. However,the C. microrphyllasuffered from the low and insufficient soil water supply under the long-term dry climatic condition in this region. In the future there is a need to increase the water-gathering percentage in designing runoff regulation project and enhance the maintenance of the engineering practices.

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 score0.505
Threshold uncertainty score0.930

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)0.0000.000

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 head0.003
GPT teacher head0.163
Teacher spread0.160 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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