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Record W2388406936

Temperature Dynamics of Soil and Air in Subalpine Betula platyphylla Forest in Western Sichuan

2005· article· en· W2388406936 on OpenAlexaff
Lei Lan

Bibliographic record

VenueSichuan linye ke-ji · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMicroclimateEnvironmental scienceAir temperatureDiurnal temperature variationSubalpine forestBetula platyphyllaMontane ecologyMean radiant temperatureAtmospheric sciencesSecondary forestEcologyClimate changeAgroforestryBiologyBotanyGeology
DOInot available

Abstract

fetched live from OpenAlex

From May to October in 2002,researches were conducted on the temporal and spacial dynamics of air and soil temperature in the subalpine Betula platyphylla forest in western Sichuan.The results showed that:1.Responses of the diurnal change of soil temperature in different layers to sunny and cloudy day were very different.The diurnal change of soil temperature would become smaller along with the increase of the soil depth,and the time when its highest temperature appeared would lag behind.The diurnal variation of air temperature in and outside the forest had also a different response to the climatic change;2.The mean ten-day soil temperature would increase with the elevation of mean ten-day air temperature.The mean ten-day air temperature had a larger change cextent than the mean ten-day soil temperature,and air had a more rapid change velocity than soil.Especially after early September,the dropping of air temperature was very obvious;3.In June and July,the mean monthly soil temperature was smaller than the mean monthly air temperatnre,but the case was reverse from May to October.The spatial structure and species composition of communities in the secondary Betula platyphylla forest were simple,and the leaf area index was also low,so the transmittance in communities was high and the difference of air temperature with in and outside the community was not so great,reflecting the main features of microclimate in the secondary broad-leaved forest on the subapine mountain in western Sichuan.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.738

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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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
Published2005
Admission routes1
Has abstractyes

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