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Record W7162038067 · doi:10.82308/39680

Carbon, nitrogen and phosphorus retention and dynamics in plant litter, surface and deep soil of intact, restored and drained inland freshwater marshes

2025· dissertation· en· W7162038067 on OpenAlexaboutno aff
Dan Dong

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandBiogeochemical cycleMarshNutrientBiomass (ecology)LitterHydrology (agriculture)Plant litterPhosphorusSoil carbon

Abstract

fetched live from OpenAlex

In response to widespread wetland degradation in the past century, multiple restoration programs are ongoing throughout Canada, aiming to regain important wetland functions. After decades of restoration practices, despite rewetted and revegetated, it is under debate if their key biogeochemical functions and features (e.g., microbial activity, the carbon and nutrients retention in sediment) have recovered successfully. This thesis investigated intact and short and long term restored inland freshwater marshes and their carbon, nutrient retention and dynamics in the ecosystem. I especially focused on the decomposing litter, microbial biomass and enzyme activities in surface soil, and the carbon and nutrients distribution and stoichiometric patterns in the deep soil profile.Across three wetland restoration sites in Manitoba and Ontario, litter decomposition rate was controlled by litter species and wetland characteristics especially the hydrologic regimes and surrounding land uses, not the intact or restored classes. The nutrients dynamic in litters was determined by both initial litter quality and surrounding human disturbances (e.g., sewage inputs to marshes), and achieved a steady stoichiometric balance for all sites at the end of the decomposition experiment. In a reserve site in Ontario, comparison of an intact and a restored marsh showed consistent spatial variability in microbial biomass and enzyme activities over the landscape transect encompassing the permanently inundated centre, intermittently inundated wet meadow, and never inundated upland. For both marshes, the degree of inundation and dominant plant species mainly determined the surface soil microbial biomass and extracellular enzyme activities, rather than land management or soil properties. Within the soil profiles of thirty-three intact, drained and restored marshes from Manitoba and Alberta, I found the cultivation history and surrounding land uses strongly influenced sediment carbon, nitrogen and phosphorus concentration and stoichiometric features both in surface soils (0-30 cm) and subsoils (30-100 cm). The vertical distribution of elements was highly variable among individual restored marshes and was not distinguished among different restoration age ranges from 2-23 years. Soil stoichiometric features of restored marshes were generally more similar to drained than intact wetlands, indicating a strong cultivation imprint on restored wetland soils.These findings provided science-grounded evidence on the success or failure of duplication of ecosystem carbon and nutrients dynamics and retention in decadal restored freshwater marshes to the adjacent intact conditions. They indicate similar environmental controllers on carbon and nutrients dynamic between intact and restored marsh systems in the surface litter and soil where biological processes dominated, however, alterations in deep sediments related to historical land conversions and physiochemical processes might be unrecoverable. Chronosequence (simply grouping wetlands by restoration age) might not be an adequate approach to delineate the recovery states of wetland functions. Instead, wetland structure (e.g., hydrologic regimes, adapted plant species) and interactions with surrounding or onsite anthropogenic activities (e.g., agriculture) are important on the efficacy of marsh biogeochemical functioning recovery, which should be considered in model development

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.963

Distilled classifier scores by category (both heads)

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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