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Record W6982237499

Historical loading and current sorption capacity of phosphorus in the sediments of Delta Marsh

2020· dissertation· en· W6982237499 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMarshEutrophicationWetlandSink (geography)NutrientPhosphorusDeltaSedimentWaterfowlHydrology (agriculture)
DOInot available

Abstract

fetched live from OpenAlex

Delta Marsh is a freshwater inland coastal wetland located along the southern basin of Lake Manitoba, Canada. Spanning over 19,000 hectares, Delta Marsh is a eutrophic wetland complex that was formerly a world-renowned destination for waterfowl hunting. Over the past half century, the marsh has been in a state of decline due to invasive plant and animal species, stabilized water levels, and eutrophication due to increased nutrient loading from surrounding development. This prompted a coalition of organizations, including Ducks Unlimited Canada, to begin the “Delta Marsh: Restoring the Tradition” project in 2008 aimed at revitalizing the ecological processes and human traditions of the marsh. The objectives of this study were to investigate the marsh sediments to determine their historic rates of phosphorus accumulation and the current ability to bind phosphorus. I determined how nutrient levels have changed in the marsh over time as well as the ability for surface sediments to act as a sink or a source of phosphorus to the marsh. This was accomplished by collecting two sets of core samples; ten 50-cm cores dated using 210Pb and 137Cs and twenty-two 5-cm cores utilized for phosphorus sorption experiments. All core samples were analyzed for sediment physiochemical parameters including phosphorus concentrations, metal cations, and organic matter. For the most part, surficial sediments acted as a phosphorus sink with some inter-season variability. Furthermore, I found that phosphorus in the sediments, and by proxy the marsh waters, have been both increasing and becoming more labile over the past century (particularly since 1960), potentially indicating increasing eutrophic conditions in the marsh. These results varied across the marsh, with the largest nutrient increases occurring in the west side of the marsh, and higher phosphorus concentrations in the emergent and wet meadow vegetation zones relative to the open-water. Overall, these results indicate that although the marsh sediments are acting as a sink for phosphorus, the marsh is an increasingly eutrophic system, with a particular risk for algal blooms on the west side.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.199
Teacher spread0.183 · 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 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
Published2020
Admission routes2
Has abstractyes

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