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Record W1992209901 · doi:10.1139/x01-114

Impact studies on Nordic forests: effects of elevated CO<sub>2</sub> and fertilization on gas exchange

2002· article· en· W1992209901 on OpenAlexvenueno aff
Bjarni D. Sigurðsson, P. Roberntz, Michael L. Freeman, Marius Næss, Henrik Saxe, Halldór Thorgeirsson, Sune Linder

Bibliographic record

VenueCanadian Journal of Forest Research · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsnot available
Fundersnot available
KeywordsPicea abiesFagus sylvaticaPopulus trichocarpaPhotosynthesisCarbon dioxideStomatal conductanceBotanyHuman fertilizationChemistryBeechHorticultureAgronomyBiology

Abstract

fetched live from OpenAlex

The effects of rising atmospheric carbon dioxide concentration, [CO 2 ], and fertilization on gas exchange of four field-grown tree species were examined using the branch bag technique (Picea abies (L.) Karst., Pinus sylvestris L., Fagus sylvatica L.) or whole tree chambers (Populus trichocarpa Torr. &amp; Gray). Results are presented on changes in light-saturated rates of net photosynthesis (A sat ), carboxylation efficiency (α), stomatal conductance (g s ), and stomatal limitation of photosynthesis (L s ) after 2–4 years of CO 2 exposure. Fertilization alone did not significantly change A sat , α, g s , or L s for any of the species, but α and A sat were linearly related to foliage nitrogen content when compared across all treatments. No significant CO 2 effects were detected for α, g s , or A sat when compared at the same intercellular [CO 2 ], i.e., no downregulation of A sat was apparent. "Long-term" CO 2 enrichment increased A sat significantly by 49, 53, 86, and 114% in Populus trichocarpa, Picea abies, F. sylvatica, and Pinus sylvestris, respectively. In all the species the relative CO 2 effect on A sat increased linearly with temperature. Thus, application of a simple linear relationship could improve predictions of future tree growth responses to increasing CO 2 and temperature in cool climates.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.433
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.000
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 head0.065
GPT teacher head0.307
Teacher spread0.242 · 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

Citations40
Published2002
Admission routes1
Has abstractyes

Explore more

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