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Record W586913359

Managing an Unpredicted and Unexpected Large Scale Amphibian Migration: Applying Hungarian Experience and Knowledge to Protect Western Toads on a British Columbia Highway

2010· article· en· W586913359 on OpenAlexaboutno aff
Leonard Sielecki, Miklós Puky

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatAmphibianWildlifeEcologyGeographyRange (aeronautics)Habitat fragmentationHabitat destructionFencingBiodiversityBiology
DOInot available

Abstract

fetched live from OpenAlex

The plight of amphibians globally is becoming increasingly serious as the adverse impacts to their natural habitats caused by human development are being recognized. Throughout Europe and North America, formerly widespread indigenous amphibian species are becoming increasingly less common. The spatial distributions of some species, once considered ubiquitous throughout large regions of these continents, are becoming limited to progressively smaller and more isolated geographic areas. Where once, large expanses of undisturbed natural environments enabled amphibian populations to remain stable, human activities have resulted in extensive habitat fragmentation and reduced genetic diversity. The elimination of migratory routes between remaining habitats critical for the life cycle stages of amphibians has raised the significance of mitigating the impact of transportation corridors. While large mammals, such as deer, moose and elk have both the physical size and speed to avoid motor vehicles and trains; small, slow moving amphibians are completely vulnerable when attempting to cross transportation corridors. Large mammals can be protected from transportation corridors by the installation of wildlife exclusion fencing and critical habitat connectivity can be maintained to some degree by the construction of engineered crossing structures. Protecting amphibians is a more complicated task due to the greater number of species and their significantly wider range of physical sizes, movement patterns and life cycle characteristics. Consequently, species of amphibians co-existing in the same environments fragmented by transportation corridors may need a diverse range of mitigation strategies in order to survive. However, geographically distinct species from the same genus, with similar characteristics, such as physical size, migration radius, and migration patterns, may be protected with the same types of mitigation measures. In such cases, knowledge and experience collected while protecting a specific amphibian genus on one continent can effectively be used to protect the same genus on another continent. In August, 2007, the British Columbia Ministry of Transportation (BCMoT) was notified of an unpredicted and unexpected, large scale migration of Western toads (Bufo boreas) occurring across a major highway on Vancouver Island in British Columbia, Canada. Although extensive wildlife assessments conducted prior to the design and construction of the highway did not identify the potential for Western toads, an estimated one million toadlets were discovered converging on the highway. The migration was successfully managed in part with expertise developed by researchers at the Hungarian Danube Research Station of the Institute of Ecology and Botany of the Hungarian Academy of Sciences working to protect the same genus in Hungary. Temporary amphibian fencing was immediately installed and a collection system was developed. Approximately 950,000 toadlets were successfully recovered and transported across the highway. As a result of the migration, BCMoT developed a wildlife migration response protocol and initiated Western toad monitoring in the area. Similar migration events, with the same and other amphibian species, have the potential to occur at other locations in Europe and North America. The collection and dissemination of best practices can promote and facilitate the expedient use of existing experience and knowledge developed to protect amphibians on either continent.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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