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Record W7057923393

Meadow restoration on former agriculture land in southwestern Ontario, Canada

2013· dissertation· en· W7057923393 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2013
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsRestoration ecologyAgricultureSpecies richnessLand coverLand useSustainabilityWetlandEcosystemEcosystem servicesPlant cover
DOInot available

Abstract

fetched live from OpenAlex

Best practices for Restoration Ecology have been largely derived from case studies. Novel Ecosystems is an approach that has the possibility of providing the field of restoration research with both structure and a road map for ecological recovery. In December 2015, Ontario Parks will be ceasing the lease of approximately 122 ha of farmland within Boyne Valley Provincial Park. My thesis aims to bridge the gap between social and ecological systems and build a resilient restoration project at Boyne Valley Provincial Park. My approach integrated the best case scenarios from each the social and ecological aspects to determine a restoration plan. From the social aspect, I chose the method photo-elicitation to bridge the communication gap between myself, the researcher, and the interviewees. Semi-structured interviews were conducted with six major stakeholders including a farmer who is currently leasing land within Boyne Valley Provincial Park, a frequent hiker of the Ontario Parks’ trail system, an academic researcher for Ontario Parks, and three Ontario Parks’ personnel to understand the different landscape preferences of stakeholders within Boyne Valley Provincial Park. From the ecological aspect, I examined the success of restoration for the first year after a fall planting in terms of species richness and percent cover for all species, including native species (planted and not planted) and non-native species across three fields with different initial conditions. To test which species should be used as the initial ground cover after farming has ceased, I looked at the survivorship and growth of five species: Danthonia spicata, Elymus trachycaulus ssp. trachycaulus, Sporobolus cryptandrus, Monarda fistulosa and Penstemon hirsutus. My recommendations for restoration at Boyne Valley Provincial Park include implementing the restoration efforts at a smaller scale to start. The remaining fields should continue to be farmed until restoration can commence or mowed at least four times a year before seeds are formed. Open communication should continue between all stakeholders. Soil preparation should include tilling the soil prior to planting only if the land was left abandoned (e.g. old-field). A plant composition survey should be conducted prior to restoration – more particularly in hay fields - to determine if native meadow species are found. If native meadow species are present (e.g. Sisyrinchium montanum) that would not survive tilling, a no-till planting method may be a better option than tilling. Acknowledging these are early results, my initial recommendation based on survivorship and growth for the first year after planting would be to use plant plugs for Elymus trachycaulus ssp. trachycaulus and a combination of plant plugs and seeds for Monarda fistulosa and Penstemon hirsutus. Future studies should incorporate other herbaceous species to increase the biodiversity while choosing flowers that bloom at different times. Additionally, pilot studies should be completed at all Ontario Parks locations where agriculture leases are ending to develop restoration methodologies that are applicable across Ontario. Information on each of the species to be planted should be distributed to the farmers that border Ontario Parks’ boundaries. This information should include at minimum the species life history, dispersal mechanisms, and a photograph. The research in this thesis outlines initial restoration efforts to guide restoration recommendations for the first year after land abandonment. Much longer-termed research is necessary to understand community dynamics and potential recovery of system.

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 score0.045
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.183
Teacher spread0.176 · 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
Published2013
Admission routes1
Has abstractyes

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