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Record W2587862057

Response of Typha x glauca to Phosphorus, Hydrology, and Land Use in Lake Ontario Coastal Wetlands

2016· dissertation· en· W2587862057 on OpenAlexaboutno aff
Aaron W. Heminway

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2016
Typedissertation
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandTyphaEnvironmental scienceHydrology (agriculture)PhosphorusLand useEcologyForestryGeographyGeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

A combination of field sampling, a greenhouse growth experiment, and GIS was used to quantify the effects of phosphorus, hydroperiod, watershed land use, and wetland hydrogeomorphic classification on the invasive cattail Typha x glauca Godron across 18 Lake Ontario coastal wetlands. To determine T. x glauca density and frequency in coastal wetlands, vegetation was sampled in 1 - m2 quadrats along stratified random transects, each of which crossed three wetland vegetation zones when present ( submergent, emergent, and wet meadow). In each wetland, water samples were collected and shipped for laboratory analysis to determine total phosphorus concentrations in wetland waters. For each wetland, ESRI ArcGIS was used to determine its watershed area, watershed land use as croplands, and length of lotic surface waters. A greenhouse growth experiment using a full factorial random block design was used to investigate the effects of variable hydroperiod and phosphorus concentrations on T. x glauca biomass allocation. Multiple linear regressions revealed that frequency of occurrence of T. x glauca cannot be predicted by the individual and combined effects of wetland water mean total phosphorus (mg/L) or croplands in wetland watersheds (p = 0.345), However, these variables were predictors of increases in cattail density (p = 0.021). Increases in mean water total phosphorus concentrations can be predicted by the combined effect of wetland watershed croplands and total length of watershed lotic waters (p = 0.002), but individually, croplands were the only significant predictor (p = 0.001; lotic waters,p = 0.414). Wetland hydrogeomorphic classification did not predict cattail density (ANOVA, p = 0.389) or frequency (p = 0.665). Wetland mean total phosphorus concentrations increased from lacustrine to riverine wetland systems (p = 0.040) but there were no differences between riverine and barrier wetlands (p = 0.598) or between lacustrine and barrier wetlands (p = 0.169). A full factorial T. x glauca growth experiment with variable hydroperiods and phosphorus concentrations was performed over the course of eight weeks. As assessed by MANOVA, there was an increase in above- and below-ground biomass allocation for the simple main effects of hydroperiod (p < 0.000), phosphorus concentrations (p < 0.000), and their interaction (p < 0.000). Multiple pairwise interaction comparisons within block hydrology between nutrient treatments results revealed that as hydroperiod and phosphorus concentrations increased, the more pronounced the differences in their interaction became. Overall, results of this study demonstrated that increasing concentrations of phosphorus positively influenced cattail growth in a controlled setting as well as in Lake Ontario coastal wetlands. Although phosphorus positively influenced growth, hydrologic regime had the greatest influence on cattail growth and biomass allocation, with increased biomass as hydroperiod increased. Results could be used by Lake Ontario stakeholders or other land managers to craft policies that reduce phosphorus inputs into wetlands and manage hydrologic regimes in a manner that limits or reverses the spread of this invasive species.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.188
Teacher spread0.178 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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