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Record W2767232068

Garry oak ecosystem stand history in southwest British Columbia: Implications for restoration, management and population recovery

2017· article· en· W2767232068 on OpenAlexfundaboutno aff
Celeste Marie Barlow

Bibliographic record

VenueSummit (Simon Fraser University) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
FundersNational Park ServiceParks CanadaPacific Institute for Climate SolutionsNatural Sciences and Engineering Research Council of CanadaU.S. Department of the Interior
KeywordsPopulationEcosystemGeographyRestoration ecologyForestryEnvironmental resource managementEnvironmental scienceEcologyDemographyBiology
DOInot available

Abstract

fetched live from OpenAlex

Understanding the ecological history of an ecosystem is essential in the development of management and restoration strategies. For example, the elimination of fire in Garry oak (Quercus garryana) ecosystems often leads to encroachment by conifer species like Douglas-fir (Pseudotsuga menziesii). We used dendroecological methods to examine history and establishment patterns of three structurally different Garry oak ecosystem stands in southwestern British Columbia, Canada. We then assessed if reintroducing fire is an appropriate management and restoration tool in the different stand types. The combined Garry oak establishment histories from the three sites are broadly consistent with the regional pattern established in other studies. However, recommendations to use fire as a restoration and management tool are site dependent. Local characteristics, such as soil depth and land use change, may be the key to restoration strategies, especially in ecosystems with high fragmentation and challenging growing conditions.

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)0.000
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 score0.908
Threshold uncertainty score0.958

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 communication0.0000.001
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 head0.011
GPT teacher head0.190
Teacher spread0.179 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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