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Record W1792493589 · doi:10.22230/jem.2008v9n1a383

Little known and little understood: Development of a small wetland assessment field card to identify potential breeding habitat for amphibians

2008· article· en· W1792493589 on OpenAlexaffabout
Elke Wind, Bill Beese

Bibliographic record

VenueJournal of Ecosystems and Management · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsWestern Forest ProductsVancouver Island University
Fundersnot available
KeywordsWetlandHabitatEcologyCanopyEnvironmental scienceProductivityGeographyBiology

Abstract

fetched live from OpenAlex

The effect of timber harvesting on small wetland habitats and associated amphibians has not been studied in the Pacific Northwest. In 2004, we initiated a study of three forested sites containing 70+ small wetlands in the Nanaimo Lakes area on Vancouver Island to investigate the use of these sites by amphibians before and after harvesting. Before harvesting, the majority of these wetlands were used for breeding by at least one of four aquatic-breeding amphibian species. Use continued after harvesting, with some species apparently drawn to breed in the newly harvested sites in response to reduced canopy cover conditions, which increase water temperature and productivity. Variable retention harvesting methods often use small wetlands as anchor points for retention patches, which protect the integrity of the in-pond environment and provide cover for metamorphs emerging in mid-summer; however, often only the largest wetlands receive retention. Our results indicate that habitat factors beyond wetland size are also important. Based on our research, we developed and tested a wetland field card that forestry personnel in south coastal areas can use to identify small wetlands used by breeding amphibians.

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 score0.193
Threshold uncertainty score0.230

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 head0.039
GPT teacher head0.246
Teacher spread0.207 · 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

Citations2
Published2008
Admission routes2
Has abstractyes

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