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Record W2006708426 · doi:10.1139/b04-052

Positive relationships between invasive purple loosestrife (<i>Lythrum salicaria</i>) and plant species diversity and abundance in Minnesota wetlands

2004· article· en· W2006708426 on OpenAlexfundvenueno aff
Heather A. Hager, Rolf D. Vinebrooke

Bibliographic record

VenueCanadian Journal of Botany · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTyphaOrdinationPlant communityNative plantWetlandEcologyBiologyVegetation (pathology)Abundance (ecology)Species diversityMarshIntroduced speciesAbiotic componentTypha angustifoliaInvasive speciesSpecies richness

Abstract

fetched live from OpenAlex

Plant species invasions may result from, and cause, changes in the vegetation community and abiotic environment. It is often hypothesized that nonnative plant invaders suppress the diversity of native species. We examined relationships of vegetation and environmental gradients associated with the nonnative invasive wetland plant Lythrum salicaria L. to determine whether L. salicaria invasion is associated with reduced diversity and abundance of resident plant species in the wetland community. Vegetation and environmental variables were surveyed in 10 wetlands defining a gradient of L. salicaria abundance. In addition, relationships among variables were compared between invaded, Lythrum-dominated and uninvaded, Typha-dominated patches within 6 of the 10 invaded wetlands. Contrary to expectations, ordination results showed that plant diversity was higher in invaded than in uninvaded patches. Lythrum salicaria replaced other plant density and biomass on a one-to-one basis. The ordination results generated an unexpected competing set of testable hypotheses regarding whether L. salicaria invades diverse plant communities or enhances plant community diversity.Key words: invasion, Lythrum salicaria, ordination, plant community composition, Typha-dominated marshes, wetlands.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.634
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.176
Teacher spread0.160 · 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.

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

Citations22
Published2004
Admission routes2
Has abstractyes

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