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Record W2329973214 · doi:10.1139/cjfr-2013-0453

Soil salinity alters the sexual responses to elevated CO<sub>2</sub>and temperature in growth and leaf traits of a dioecious plant

2014· article· en· W2329973214 on OpenAlexvenueno aff
Ling Li, Baoli Duan, Dongzhou Deng, Weiguo Tu, Yuanbin Zhang

Bibliographic record

VenueCanadian Journal of Forest Research · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsnot available
Fundersnot available
KeywordsSalinityPhotosynthesisSoil salinityBiologyCuttingDioecyBotanyHorticultureSink (geography)Carbon dioxideEcology

Abstract

fetched live from OpenAlex

This study elucidated whether the adverse effect of soil salinity is different between Populus yunnanensis Dode males and females under climate change. We hypothesized that the magnitude and direction of sexual responses to elevated CO2and warming will be modified by soil salinity in dioecious plants. Populus yunnanensis was employed as a model species to study sexual responses in growth, photosynthesis, carbohydrate accumulation, and C and N allocation to elevated CO2and temperature under soil salinity. Cuttings were divided into control and salt groups and were exposed to two CO2regimes (ambient CO2and double ambient CO2) and two temperature regimes (ambient temperature and ambient temperature + 2.2 °C) in growth chambers. Males exhibited a greater down-regulation of the net photosynthesis rate (Anet) than did females at elevated CO2, primarily due to their poorer carbon sink–source balance and lower N availability. In the salt group, unlike in the control group, warming showed a positive effect on the growth of both females and males, and elevated CO2and temperature had a positive synergistic effect on the growth of both sexes. Sexual growth differences under soil salinity were reduced by elevated CO2, temperature, and a combination of both. These results provide evidence for sexually different responses to environmental changes in dioecious plants and support the idea that sex ratios will shift under climate change.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.031
GPT teacher head0.261
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2014
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Forest ResearchSame topicPlant responses to elevated CO2French-language works237,207