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Forestcheck: the response of lichens and bryophytes to silviculture in jarrah (<i>Eucalptus marginata</i>) forest

2011· article· en· W2045972484 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralian Forestry · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsLichenMossSpecies richnessCrustoseIndicator speciesBryophyteBotanyForest ecologySilvicultureBiologyEcologyEcosystemHabitat

Abstract

fetched live from OpenAlex

Summary The effect of silvicultural treatments on lichen, moss and liverwort communities was investigated as a component of the FORESTCHECK monitoring project in jarrah forest of south-west Western Australia. Forty-eight monitoring grids were established across five locations within four jarrah forest ecosystems and were monitored over a 5-y period, with one location monitored each year. Silvicultural treatments (shelterwood/selective cut and gap release) were compared with reference forest that had never been harvested or had not been harvested for over 40 y. A total of 318 species was recorded comprising 280 lichens, 27 mosses, 10 liverworts and one hornwort. Seventy-two percent were identified to species level. There were strong regional influences (relating to different forest ecosystem types) observed in the composition of cryptogam communities. Silvicultural treatments significantly affected the species richness of lichens, which decreased with intensity of harvest, and the composition of the total cryptogam community. Total cryptogam species richness was lowest in silviculturally treated grids 1–4 y after treatment, but 10 or more years after treatment it was similar to that in reference grids prescribed-burnt 10 y or more previously. Species such as Sematophyllum subhumile var. contiguum (moss) and Cephaloziella exilifolia (liverwort) and several lichens were more frequent in reference forest than in silviculturally treated forest. Pannaparmelia wilsonii, Hypogymnia subphysodes and Tephromela alectoronica, two foliose and a crustose lichen associated with mature trees, were also recorded in the gap release treatment, demonstrating the importance of retained habitat trees for species other than native mammals and birds. One-half of all the cryptogams recorded used coarse woody debris as a substrate and 40% of them depended on it entirely. Coarse woody debris is affected by both timber harvesting and fire, so there is a need to learn more regarding the specific requirements of saproxylic cryptogams in jarrah forest.

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.

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)0.000
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 score0.017
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.028
GPT teacher head0.216
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