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Record W7049141404

Morphological/anatomical investigation of cattail transplants and bog vegetation : final report

2018· report· en· W7049141404 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2018
Typereport
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsBogVegetation (pathology)PeatCoal miningEcosystemDeposition (geology)DrainageCoal
DOInot available

Abstract

fetched live from OpenAlex

Bogs and coal acid mine drainage are closely linked at the \nVictoria Junction Coal processing plant of DEVCO in Sydney, Cape \nBreton, Nova Scotia. This geographical setting facilitates the \ninvestigation of these bogs with respect to the effects of AMD on \nthe ecosystem and determine their use in ameliorating the acidic \nconditions. The species assemblage is typical of that encountered \nin dwarf-shrub bogs of the Northeastern regions of the United \nStates and Canada. These bogs are dominated by Chamaedaphne \ncalyculata. \nThis report describes the status of the vegetation in both bogs \nwhich have received AMD for varying times. It summarizes both onsite \nand laboratory investigations. Through the use of \nmorphological-anatomical techniques, the death or growth of plant \nparts is determined. The old bog, exhibits significant acid stress, although it had only \nreceived aerial deposition of coal and a diffuse flow of AMD. A \nsecond bog, the new bog, located immediately above the stressed bog \nwas healthy and unaffected by acid mine drainage until AMD seepage \nwas diverted into the bog at the end of summer 1988. In the new bog \nthe vegetation damage is much more severe than in the old bog and \nprognosis for continued survival is not good for many of the \nspecies that form the natural species assemblage of the bogs. The majority of shoot tips and lateral buds were found to be dead, \nsuggesting little hope for recovery of the plants in subsequent \nyears. Although damage was also observed in the same species of the \nold bog, the symptoms were not as severe as those seen in the new \nbog. Roots and rhizomes tended to show some damage but this was \nmuch reduced in comparison to that observed in the new bog. The most important species being able to survive is Typha \nlatifolia. Other grasses, sedges, and rushes may however compete \nin the colonizing of the dying bogs. Thus, a change in species \ncomposition of the bogs can be expected. To promote the growth of \ncattails in AMD conditions foliar fertilizers were tested. \nTreatment with noticeable beneficial effects was the application \nof 4-18-16 at a dilution of 1O:l. \nMorphological investigations of cattail roots indicated large \naccumulation of metals on the epidermis and the hypodermal layers. \nIn dead lateral roots, metal concentrations are highest and have \npenetrated the entire root cross section. Analysis of X-ray spectra \nof the metals by SEM of root cross sections, indicated that high \nconcentrations of Fe are associated with high levels of S and \ngreatly reduced concentrations of Ca. Crystal formation was noted \nin the iron-sulphate plaque accumulation in the roots. X-ray scans \nof cattail leaves growing in AMD conditions indicate the presence of glandular cell regions, called hyropoten with Fe levels three \ntimes that of the adjacent epidermal regions. These findings \nsuggest, that the cattail rhizosphere may be active in ameliorating \nAMD and that adaptations to high iron concentrations through \nactivation of particular cell regions of the leaves may occur.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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
Published2018
Admission routes1
Has abstractyes

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