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Record W2062373956 · doi:10.1139/b05-132

The response of <i>Vaccinium myrtillus</i> to variations in grazing intensity in a Scandinavian pine forest on the island of Svanøy

2005· article· en· W2062373956 on OpenAlexvenueno aff
Stein Joar Hegland, Knut Rydgren, Tarald Seldal

Bibliographic record

VenueCanadian Journal of Botany · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBilberryVaccinium myrtillusGrazingHerbivoreShrubEcologyBiologyEnvironmental science

Abstract

fetched live from OpenAlex

The impact on the performance of dwarf shrub Vaccinium myrtillus L. (bilberry) subjected to differing natural intensities of grazing by Cervus elaphus L. (red deer) was examined in a mature Scandinavian pine forest, on Svanøy, an island on the western coast of Norway. All the study sites were in forest where bilberry dominated the forest floor and no forestry activities had been carried out for several decades. Pellet group counts were used as measure of grazing intensity. Bilberry size, abundance, and fruit set, and invertebrate activity on bilberry were negatively related to grazing intensity. The responses varied between early and late summer (negative or neutral), but impact on plant size was negative throughout the season. Because of the large variation in grazing intensity represented in our study, we can, in contrast to many experimental studies, show that grazing affects the performance of bilberry even at low grazing intensities. The effect on fruit production and invertebrate activity on bilberry indicates that red deer grazing has a negative impact on the population dynamics of the plant and invertebrate herbivores.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations34
Published2005
Admission routes1
Has abstractyes

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