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Record W3189428258

What is the impact of a UNSECO status due to visitors on the environment of Herschel Island? - A survey of the influence of trampling on vegetation

2019· dissertation· en· W3189428258 on OpenAlexaboutno aff
Kira Heinemann

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsTramplingVisitor patternGeographyTourismVegetation (pathology)National parkHabitatCruiseDisturbance (geology)RecreationEcologyEnvironmental resource managementPhysical geographyEnvironmental scienceArchaeologyOceanographyGrazing
DOInot available

Abstract

fetched live from OpenAlex

With rising global tourism demand for wilderness and pristine habitats, the evaluation ofanthropogenic impacts on the environment and preservation efforts has become more andmore important. This study focuses on the Territorial Park Herschel Island Qikiqtaruk in the western Canadian Arctic, which has been on the tentative list for becoming a culturaland natural World Heritage Site since 2004. Thee study was conducted to determine thepotential impacts of a designation in terms of visitor development and trampling disturbances. A thorough literature review suggested a likely increase of tourist numbers after the granting of the World Heritage Status. In this thesis several visitor groups to Herschel Island were included, with a special focus on two main groups: cruise ship visitors and researchers, which make the bulk part of visitors to the territorial park. Park rangers and researchers helped to delineate trails commonly used by cruise ship visitors. GPS and DGPS datasets collected by researchers over the 2014-2017 period were used to show areasfrequently visited for research activities. In general, impacts from anthropogenic trampling directly result from the intensity of trampling but also vary substantially depending on the condition of the vegetation composition. The study identified two ecological classes overwhelmingly impacted by cruiseship visitors and where trail development might occur in the future. The paths used by researchers are more dispersed and the resulting light but steady trampling was also shownto result in vegetation alteration. The impact of visitor disturbance on permafrost could not be evaluated directly on site, but a thorough literature review has shown a strong interrelationship between vegetation disturbances, trampling and permafrost thaw. In conclusion, this thesis formulated and discussed several recommendations for Herschel Island Qikiqtaruk Territorial Park to mitigate effects of visitor impacts on vegetation,which are likely to increase with a rising number of visitors.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.016
GPT teacher head0.295
Teacher spread0.279 · 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
Published2019
Admission routes1
Has abstractyes

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