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Record W2377115551

Simulation of the Effects of Various Mixing Proportions on NPP and Carbon Storage in the Mixedwood Plantations of Phoebe bournei with Chinese fir

2014· article· en· W2377115551 on OpenAlexaff
Tian Xia

Bibliographic record

VenueACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicForest, Soil, and Plant Ecology in China
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEnvironmental scienceForestryProductivityGeography
DOInot available

Abstract

fetched live from OpenAlex

Using forest ecosystem model FORECAST,the net primary productivity( NPP) and forest carbon storage in the mixture of Phoebe bournei with Chinese fir were simulated with various management scenarios including different site qualities and mixing proportions( 5 ∶ 1,4 ∶ 1,3 ∶ 1,1 ∶ 1 and 1 ∶ 3 between Phoebe bournei and Chinese fir) over the simulation period of 300 years.The simulations suggested that the total cumulative carbon storages in both stem and above-ground forest components were the greatest with the mixing proportion of 3 ∶ 1.The soil carbon storage in the pure Phoebe bournei forest and the Phoebe bournei-Chinese fir mixed forests with mixed proportion of Phoebe bournei being higher than 1 ∶ 1 was on the increasing trend over the simulation period of 300 years,while those in pure Chinese fir forest and the Phoebe bournei-Chinese fir mixed forests with the mixed proportion of 1 ∶ 3 was on the decreasing trend.Compared with those in low quality sites,the carbon storages in high quality sites were higher.It might be concluded that the best mixed proportion of Phoebe bournei with Chiense fir is 3 ∶ 1,which is beneficial for sustaining or improving soil carbon storage in the long run.

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)0.001
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 score0.546
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.210
Teacher spread0.206 · 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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Same venueACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSISSame topicForest, Soil, and Plant Ecology in ChinaFrench-language works237,207