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Record W4379113640 · doi:10.53819/81018102t5173

Effects of Human Encroachment on Wetlands: A Case of Boreal Shield, Canada

2023· article· en· W4379113640 on OpenAlexaffabout
Barlow Liepert Kuijper, A. Wang, Ron Viersen Goodrich

Bibliographic record

VenueJournal of Agriculture · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsMcGill University
Fundersnot available
KeywordsWetlandWildlifeUrbanizationEnvironmental scienceEcosystem servicesThreatened speciesEnvironmental protectionBiodiversityEcosystemEcologyHabitat

Abstract

fetched live from OpenAlex

Wetlands are some of the most productive ecosystems on the planet and provide a wide range of ecological, economic, and social benefits. Wetlands are threatened by human activities such as agriculture, urbanization, resource extraction, and infrastructure development, which can lead to their degradation and loss. Wetland loss can result in reduced water quality, increased erosion, and decreased biodiversity, which can impact the health of ecosystems and the species that depend on them. The study found that human encroachment on wetlands in Canada has resulted in significant wetland loss and degradation. Wetland loss and degradation can lead to the loss of plant and animal species that depend on these ecosystems. It was noted that wetland loss is a major contributor to the decline of many bird species, including waterfowl and shorebirds. Wetlands support important industries such as forestry, agriculture, and fisheries, and provide recreational opportunities for Canadians, such as fishing, hunting, and wildlife watching. The study concluded that human activities such as agriculture, urbanization, resource extraction, and infrastructure development have led to the degradation and loss of wetlands across the country. The loss of wetlands has had a significant impact on the environment. Wetlands act as natural water filters, helping to purify water by removing pollutants and sediments. The loss of wetlands has also had economic and social impacts. Wetlands provide a range of valuable resources, including timber, peat, fish, and wildlife, which support local economies and communities. The study recommended that the Canadian government should implement more stringent wetland protection policies and regulations. This could include increasing the amount of wetlands protected under legislation, improving enforcement measures, and establishing penalties for those who violate wetland protection regulations. Public education and outreach programs should be developed and implemented to raise awareness about the importance of wetlands and the negative impacts of human encroachment. Keywords: Human Encroachment, Wetlands, Canada

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 score0.032
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.002
Scholarly communication0.0020.001
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 head0.004
GPT teacher head0.209
Teacher spread0.205 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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