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Record W7000010841

ECOLOGICAL RESTORATION OF DISTURBED LOW-ARCTIC UPLAND HEATH USING LOCALLY SOURCED, TRANSPLANTED VEGETATIVE TURFS

2022· dissertation· en· W7000010841 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsTundraVegetation (pathology)QuadratRestoration ecologyBiomass (ecology)Plant communityNutrientArcticTransplantation
DOInot available

Abstract

fetched live from OpenAlex

Arctic environments have undergone ecological disturbances from industrial resource extraction for decades, yet knowledge of arctic plant-soil systems and effective means of ecological restoration is still largely unknown and understudied. To gain a better understanding of restoring arctic plant communities following mining disturbance, we examined whole turf transplants and shredded tundra material in maintaining vegetative community characteristics and soil nutrient concentrations two years post-transplantation onto disused gravel quarries. Community characteristics, and recovery of turf harvesting locations were determined through quadrat assessments, and soil nutrients were assessed through ion chromatography of soil samples. Additional turfs were harvested and transported to the University of Saskatchewan to investigate the effects of turf-adjacent fertilization on turf and substrate community characteristics, above and belowground biomass, and distance of vegetation expanding from the turf. Quadrat assessments were conducted to investigate community characteristics, and above and belowground biomass was harvested at specific distance increments from the turf. DNA metagenomics was used to identify the species responsible for expansion\nOverall, we found turf transplants were capable of surviving transplantation and extreme environmental conditions and transferred native species and vegetative cover to disturbed sites. The application of shredded tundra material may be effective at re-instating non-vascular communities over a large area, although requires greater protection from wind and water erosion. We found belowground expansion far exceeded aboveground and that graminoids were primarily responsible for this expansion. Fertilization of turf’s surroundings increases belowground biomass and the development of biological soil crusts on adjacent substrates, without impacting the development of vegetation within the turfs. \nWe recommend that restoration practitioners seek to transplant forb and graminoid-dominated communities, as these communities will likely i) survive transplanting better than shrub-dominated communities, ii) stimulate development of organic layers and soil nutrient enrichment, iii) introduce common and critical nitrogen-fixing species, and iv) present the greatest likelihood of vegetative expansion. Further research is needed to optimize this technique in arctic environments; however, the results of this research indicate that turf transplants can maintain key plant-soil interactions allowing for the continued survival of arctic vegetative communities, along with expansion, and modification of their immediate surroundings within disturbed sites.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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 head0.014
GPT teacher head0.186
Teacher spread0.172 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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