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Record W3035930266

Evaluation of Methods and Results in the Braddock Bay Wetland Restoration Project

2020· dissertation· W3035930266 on OpenAlexaboutno aff
Alexander Silva

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2020
Typedissertation
Language
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandBayEnvironmental scienceEnvironmental resource managementEnvironmental planningGeographyGeologyOceanographyEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Prior to restoration, Braddock Bay was an open embayment wetland on the southern coast of Lake Ontario, and it is part of the Rochester Embayment Great Lakes Area of Concern (AoC). Braddock Bay was partially protected by two spits that are remnants of the protective barrier beach that has slowly been eroded over time. Without the barrier to protect the shoreline within the bay, the coastal wetland was severely impacted by wave action from Lake Ontario, leading to loss of 43 hectares of wetland. The erosion of the barrier was facilitated by water-level regulations implemented in the late 1950s. A further consequence of water-level regulation was the loss of diversity, as the lack of periodic low water levels resulted in a cattail monoculture and the loss of sedge/grass meadow habitat. Braddock Bay is being restored by the United States Army Corps of Engineers. The plan called for the following: restoration of a portion of existing cattail-dominated wetland by cutting cattails in August (when storage carbohydrates in rhizomes are minimized) and herbicide treatment of new stems; channeling and potholing to improve wildlife access to the wetland; the re-creation of the historical barrier beach using rubble-mound and sand; and the creation of spoil mounds along the channels and potholes to increase the elevation in these areas and discourage the growth of cattail while supporting the growth of sedge/grass meadow species. Two years of data collection were performed following construction activities in 2016. Preliminary surveys showed an increase in an invasive species of concern (purple loosestrife) from year 1 to year 2 across the restoration site. A decrease in cattail across the years was observed in the cattail treatment areas, along with a slight decrease of Typha found in the sedge/grass meadow and spoil mound habitats. Based on this monitoring, construction standards set for the restoration must be met, and adaptive management must occur throughout the project timeline for restorations to succeed. Site-level weighted mean C metrics are recommended for future floristic analyses based on an observed species richness influence on FQAI.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.036
GPT teacher head0.279
Teacher spread0.243 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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