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Record W2479953321 · doi:10.5962/bhl.title.114046

The Southern headwaters at risk project : a multi-species conservation strategy for the headwaters of the Oldman River.

2004· book· en· W2479953321 on OpenAlexfundno aff
François. Blouin, Richard Quinlan, Brad N. Taylor

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
FundersGovernment of CanadaShell CanadaAlberta Conservation Association
KeywordsGeographyHydrology (agriculture)ForestryGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

The headwaters of the Oldman River Basin flow through a highly variable landscape containing a rich diversity of habitats and species.It is home to a large number of species at risk (At Risk, May be at Risk, and Sensitive designations) and is a critical habitat linkage between the mountain, foothill, and boreal areas to the north, and the Columbian and Yellowstone ecosystems to the west and south.This diverse landscape is also reflected in the diversity of land use in the area.Increasing demand for natural resources, agriculture, development, and recreational activities are increasing pressure on the landscape.Following their experience for the Milk River Basin (Quinlan et al. 2003), a multispecies conservation approach was initiated by the Alberta Fish and Wildlife Division and the Alberta Conservation Association in an attempt to ensure the long-term sustainability of species at risk in the Southern Headwaters At Risk Project (SHARP) area.This volume introduces the SHARP project and presents the most important natural processes and their ecological functions in the area.Past major geomorphological processes such as mountain orogeny, erosion, sedimentation, and glaciations were responsible for creating much of the landscape found in the SHARP area today.The Grassland natural region to the east has been maintained through time by natural processes such as flooding, drought, wind, fire, and grazing.Flooding and drought conditions affect plant species differently and create communities adapted to their regime and intensity.Fire plays an important role in recycling nutrients but also prevents succession from advancing.Since the European arrival in the area, fire has been relatively controlled and the large herbivores that once roamed the plains and grazed the grasslands are now either extirpated, or have been displaced into the mountains.Domestic cattle are partly carrying out their ecological role, but the structure and composition of many grassland plant and animal communities have been greatly modified.The cooler and moister Rocky Mountain natural region to the west has allowed forests to become established and to develop as a patchy mosaic of variable size, age, and composition under various flooding, drought, wind, fire, insect and disease outbreaks, and avalanche regimes.Predator-prey interactions are also a fundamental part of the SHARP landscape.The gray wolf, coyote, cougar, grizzly and black bear, are all major predators on ungulate populations, while wolverine scavenges on carrion in winter or preys on small manunals, birds, and insects in summer.Natural processes are fundamental in maintaining the ecological integrity and ensuring the long-term survival of species at risk populations in the SHARP landscape.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.945
Threshold uncertainty score0.109

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.004

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 head0.031
GPT teacher head0.237
Teacher spread0.206 · 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
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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