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Record W7033139651

Preliminary site-quality evaluation tools for the hardwood forests of central ontario / Nick Buda. --

2004· dissertation· en· W7033139651 on OpenAlexfundaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2004
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
FundersGovernment of OntarioLakehead UniversityMinistry of Natural Resources
KeywordsHardwoodYellow birchRange (aeronautics)Natural regeneration
DOInot available

Abstract

fetched live from OpenAlex

Key Words: American beech (Fagus grandifolia Ehrh.), hardwoods, height-growth models, red oak (Quercus rubra L.), site form, site index, site quality, site-quality evaluation, sugar maple {Acer saccharum Marsh.), yellow birch {Betula alleghaniensis Britton) There are currently no locally-derived, quantitative site-quality evaluation tools available for major tree species in the tolerant hardwood forests of central Ontario.To estimate potential site productivity, site-index curves from the Lake States and a preliminary set of site-form curves for sugar maple are currently being used.Whether these tools are applicable to central Ontario is of concern.The use of site index as a site-quality evaluation tool in uneven-aged mixed-species stands is also questionable.It is also possible site form may not be a valid measure of forest site quality in these types of stands either.A random sample of 62 pure and mixed-species stands with a variety of age-class structures in central Ontario yielded stem analyses data and stand structure information for sugar maple {Acer saccharum Marsh.),American beech {Fagus grandifolia Ehrh.), yellow birch {Betula alleghaniensis Britton) and red oak {Quercus rubra L.).An exploration of height-growth patterns for each species as a function of age and diameter revealed pronounced differences in shape (polymorphism) of height-age curves for all species with changes in site quality.Polymorphism was also evident for suppressed vs. free-growing sugar maple trees, and for sugar maple growing in even-vs.uneven-aged stands and pure vs. mixed-species stands.Differences were less pronounced in height-diameter curves for all species.Preliminary height-growth and site-index equations and curves were developed for sugar maple, American beech, yellow birch and red oak.The central Ontario data, and curves from this study, were then used to examine the applicability of site-index curves for these species from the Lake States to central Ontario.The Lake States curves were shown to differ substantially from those developed in this study, and were inaccurate in application to data from central Ontario.A preliminary assessment of age and stand structure and species mixture impacts on sugar maple height-growth and site index, and forest floor chemistry, revealed no significant differences in sugar maple site index between stands of different composition or age-class structure, and minor differences in forest floor chemistry between stands of different species composition.Preliminary height-growth and site-form equations and curves were also developed for these species.The curves for sugar maple were used to validate existing preliminary curves for sugar maple in Ontario.The curves in this study differed substantially from the preliminary curves and the existing curves were shown to be inaccurate in application to data from this study.An examination of site form as a site productivity measure in uneven-aged, mixedspecies stands using data from this study revealed it was unrelated to site index, basal area or ecological variables known to affect forest site quality for these species.

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)0.005
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.074
GPT teacher head0.265
Teacher spread0.191 · 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

Citations0
Published2004
Admission routes2
Has abstractyes

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