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Record W2136087757 · doi:10.1139/x00-037

Composition and diversity of fungi on decaying logs in a New Zealand temperate beech (<i>Nothofagus</i>) forest

2000· article· en· W2136087757 on OpenAlexvenueno aff
Robert B. Allen, Peter Buchanan, Peter W. Clinton, Angela J Cone

Bibliographic record

VenueCanadian Journal of Forest Research · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTaxonBiologyBotanyBeechNothofagusEcologyTemperate climateEcological successionTemperate forest

Abstract

fetched live from OpenAlex

Saprobic fungal taxa on decomposing mountain beech (Nothofagus solandri var. cliffortioides (Hook. f.) Poole) logs were investigated in relation to properties of logs including stage of decay, size, nutrient concentration, and moisture content. We also determined whether logs become increasingly heterogeneous in nutrient concentration and moisture content with decay and also whether log heterogeneity related to fungal taxa diversity. Sporocarps were collected from the same 75 logs in spring (November 1995, 80 taxa) and autumn (May 1996, 151 taxa). For both seasons the dominant pattern in fungal taxa composition was only weakly related to measured properties of logs; however, a secondary pattern was found related to a fungal taxa succession reflecting stage of decay. In the autumn collection, Biscogniauxia capnodes (Berk.) Y.-M. Ju &amp; J.D. Rogers and Schizopora nothofagi (G. Cunn.) P.K. Buchanan &amp; Ryvarden occurred on small logs in the early stages of decay, with relatively low N. Decayed logs, with relatively high N, were characterized by Marasmius otagensis G. Stev. and Athelia epiphylla Pers. Our observations were not consistent with previously described successional trends from soft- to white- and brown-rot fungi as logs decay. The number of fungal taxa increased with log volume, and, additionally for the autumn collection, with heterogeneity in cation concentration suggesting habitat heterogeneity may be a factor in explaining log fungal taxa diversity.

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)0.000
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 score0.526
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.047
GPT teacher head0.256
Teacher spread0.208 · 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

Citations54
Published2000
Admission routes1
Has abstractyes

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