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Record W7055292724

Coastal Landform Change Influences on Endangered Five-Lined Skink Distribution at Northwest Beach, Point Pelee National Park, Canada

2022· article· en· W7055292724 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsVegetation (pathology)PopulationLandformNational parkExclosure
DOInot available

Abstract

fetched live from OpenAlex

As park visitation increased to Point Pelee National Park up until its peak in 1963, the installation of infrastructure for the purpose of supporting the recreational interest grew with it. At Northwest Beach, large parking lots were built into the coastal landscape and by the 1970s large areas of sand dunes continued to be heavily impacted by the installation of visitor associated infrastructure. The infrastructure resulted in the stabilization of sand on the beach side of the parking lot, resulting in an artificially stabilized and heavily vegetated dune. Over the last few decades, the park slowly reduced the size and number of infrastructure and facilities to accommodate current visitor use trends.\nThis research focuses on determining the success of past management interventions that were implemented at Northwest Beach and the influence those interventions have had on restoring coastal ecosystem function and the endangered five-lined skink population. Since restoration is a long-term process, monitoring land use and land cover changes as well as outcomes of restoration activities is vital in progressing toward restoring ecosystem function and ecological integrity. The overall goal of this research is to identify the influence that coastal landform changes at Northwest Beach, Point Pelee National Park, have had on the endangered five-lined skink species abundance and distribution and to determine the success of past management interventions at Northwest Beach. Specific research objectives were to analyze change in land-use and land-cover at Northwest Beach and the influence past management interventions have had on landform change, to examine the abundance and distribution of the endangered five-lined skink population at Northwest Beach and determine the desired and most suitable habitat for the species, and to determine the coastal landform changes influence on the five-lined skink population abundance and distribution at Northwest Beach.\nThis research involves the land use land cover classification of aerial imagery from five sperate time periods across the Northwest Beach study area. The skink sighting abundance at Northwest Beach was comparatively analyzed with the abundance recorded throughout the entire Point Pelee National Park. The variation in abundance at Northwest Beach was evaluated along with the species distribution between the four research zones. The correlations between Northwest Beach management interventions and corresponding changes in land use and land cover as well as five-lined skink distribution and abundance were identified. Based on results of this research, additional management strategies for coastal restoration at Northwest Beach, Point Pelee were recommended. This study offers insight on the importance of specific rehabilitation practices for coastal habitat restoration to maintain ecological integrity and endangered species populations within Point Pelee National Park and broader practices that can be implemented in all coastal restoration projects.

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)0.000
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 score0.018
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.213
Teacher spread0.201 · 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
Published2022
Admission routes1
Has abstractyes

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