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Record W1974115932 · doi:10.1007/s11284-009-0609-2

Accelerated soil CO <sub>2</sub> efflux after conversion from secondary oak forest to pine plantation in southeastern China

2009· article· en· W1974115932 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEcological Research · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSoil respirationEnvironmental scienceSecondary forestOak forestSoil carbonPine forestForest ecologyCarbon cycleForestryEcosystemDiurnal temperature variationRespirationAgronomySoil waterAgroforestryEcologyAtmospheric sciencesSoil scienceGeographyBiologyBotany

Abstract

fetched live from OpenAlex

Abstract Soil respiration ( R s ) is an important component of the carbon cycle in terrestrial ecosystems, and changes in soil respiration with land cover alteration can have important implications for regional carbon balances. In southeastern China (Xiashu Experimental Forest, Jiangsu Province), we used an automated LI‐8100 soil CO 2 flux system to quantify diurnal variation of soil respiration in a secondary oak forest and a pine plantation. We found that soil respiration in the pine plantation was significantly higher than that in the secondary oak forest. There were similar patterns of soil respiration throughout the day in both the secondary oak forest and the pine plantation during our 7‐month study (March–September 2005). The maximum of R s occurred between 4:00 pm and 7:00 pm. The diurnal variations of R s were usually out of phase with soil surface (0.5 cm) temperature ( T g ). However, annual variation in R s correlated with surface soil temperature. Soil respiration reached to a maximum in June, and decreased thereafter. The Q 10 of R s in the secondary oak forest was significantly higher than that in the pine plantation. The higher Q 10 value in the secondary oak forest implied that it might release more CO 2 than the pine plantation under a global‐warming scenario. Our results indicated that land‐use change from secondary forest to plantation may cause a significant increase in CO 2 emission, and reduce the temperature sensitivity of soil respiration in southeastern China.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.037
GPT teacher head0.293
Teacher spread0.256 · 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