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Record W2131931804 · doi:10.1139/x06-114

Do small headwater streams have a riparian zone defined by plant communities?

2006· article· en· W2131931804 on OpenAlexvenueno aff
John M. Hagan, Sacha Pealer, Andrew A. Whitman

Bibliographic record

VenueCanadian Journal of Forest Research · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
FundersNational Council for Air and Stream ImprovementNational Fish and Wildlife Foundation
KeywordsRiparian zoneSpecies richnessHerbaceous plantSTREAMSRiparian forestVascular plantPlant communityEcologyBankGeographyEnvironmental scienceBiologyHabitat

Abstract

fetched live from OpenAlex

Defining riparian zones is important because sustainable forestry programs typically include a requirement to protect riparian zones. To help determine whether small first-order headwater streams have a riparian zone, we surveyed vascular plant communities along 15 streams in a managed forest landscape in western Maine, USA. Along each stream we recorded all vascular plant species in 5 m × 50 m quadrats at different lateral distances from the stream bank: 0–5, 13–18, 25–30, and 40–45 m. Trees and shrubs showed no statistical differences among zones in either species richness or community composition. Species richness of herbaceous plants was greater in the 0-5 m zone adjacent to the stream bank than in other zones, and species composition of herbaceous plants was statistically different in the 0–5 m zone relative to more distant zones. Twenty-four herbaceous species (of 129) were determined to be indicators of the riparian plant community. Twenty-three of the 24 indicator species were more likely to occur near the stream, and 1 species was more likely to be found away from the stream (a negative riparian indicator). These results show that a narrow riparian zone exists on small headwater streams that is reflected by the herbaceous plant community.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.620
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.257
Teacher spread0.221 · 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 teacher head, not a consensus.

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

Citations44
Published2006
Admission routes1
Has abstractyes

Explore more

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