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Climate change, biodiversity conservation and protected area planning in Canada

2005· article· en· W1983608031 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsUniversity of Waterloo
FundersUniversity of WaterlooWorld Wildlife Fund
KeywordsBiomeEcoregionProtected areaClimate changeVegetation (pathology)Wilderness areaGeographyWildlifeNational parkBiodiversityEnvironmental resource managementWildernessIUCN protected area categoriesEnvironmental protectionEnvironmental scienceEcologyEcosystem

Abstract

fetched live from OpenAlex

For more than a decade, climate change has been identified as an important emerging issue for protected areas. Utilising outputs from two equilibrium global vegetation models (GVMs) forced with six climate‐change scenarios, this study assessed potential terrestrial biome‐type change in Canada's protected area network (2,979 national parks, national wildlife areas, migratory bird sanctuaries, Ramsar sites, ecological reserves, wilderness wildlife areas and provincial parks). Vegetation‐modelling results project that 37–48 percent of Canada's protected areas could experience a change in terrestrial biome type under doubled atmospheric carbon‐dioxide conditions. Park and protected area planning in Canada have traditionally been founded upon enduring‐feature analysis and ecoregion representation frameworks. These conservation‐planning frameworks are based on climatic and biogeographic stability; assumptions that what these modelling results for Canada's protected areas and other vegetation‐modelling studies indicate are untenable in an era of global climate change. Implications for protected area policy and planning in Canada are also discussed.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.185
Teacher spread0.165 · 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