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Record W2046930038 · doi:10.1139/b07-042

Mycorrhizal associations in <i>Polylepis</i> woodlands of Central Argentina

2007· article· en· W2046930038 on OpenAlexvenueno aff
Eugenia Menoyo, Alejandra Becerra, Daniel Renison

Bibliographic record

VenueCanadian Journal of Botany · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
FundersConsejo Nacional de Investigaciones Científicas y TécnicasVolkswagen FoundationRufford Foundation
KeywordsWoodlandBiologyColonizationArbuscular mycorrhizaEcologyRevegetationThreatened speciesMycorrhizaEcological successionPlant communitySymbiosisBotanyHabitat

Abstract

fetched live from OpenAlex

Polylepis woodlands are one of the most threatened mountain ecosystems of South America, and their restoration is a high priority. To assess the mycorrhizal status in Polylepis woodlands of “Quebrada del Condorito” National Park (Córdoba Mountains, Central Argentina), we examined the roots of 22 plant species, belonging to 14 families and determined morphological types of arbuscular mycorrhiza (Arum and Paris type) and colonization level. The 22 species were colonized by arbuscular mycorrhizal fungi and dark septate endophytes. Different arbuscular mycorrhizal structures and colonization patterns were observed, although Paris-type colonization was predominant. Fourteen plant species are reported for the first time as hosts of arbuscular mycorrhizal fungi. We conclude that arbuscular mycorrhizal fungi and dark septate endophyte hosts are widespread in the Polylepis woodlands of Central Argentina and should receive special attention in future revegetation programs.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.197
Teacher spread0.188 · 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 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

Citations25
Published2007
Admission routes1
Has abstractyes

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