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Record W7046448482

The Descendants of Giants: In Search of Exemplary Specimens of At Risk Trees in Southern Ontario's Oak Ridges Moraine

2015· other· en· W7046448482 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2015
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsDeciduousAlienMoraineHuman settlementClearanceRainforestNational parkExpansive
DOInot available

Abstract

fetched live from OpenAlex

Prior to widespread settlement by Europeans in the early to mid 19th century, southern Ontario (i.e., the region south of Lake Simcoe) was blanketed by dense mixed deciduous forests that had been shaping, and were being shaped by, the landscape for over 10,000 years. Today, over 95% of these once expansive forests have been cleared for agriculture and other forms of development (see Figures 1 and 2) (Berger, 2008; McLachlan and Bazely, 2003). This extensive clearance and land use alteration has imperiled the continued existence of many of southern Ontario's native tree species. \n \nCompounding this predicament has been a long history of over-harvesting the fittest trees in the forest, as well as the more recent introduction and spread of alien and native invasive species and diseases. There are no longer any old growth forests of significance left in southern Ontario. Over 95% of remnant Carolinian forest patches are less than 10 hectares in area and most are over 1.5 km apart (McLachlan and Bazely, 2003). The largest remaining stand of Carolinian forest in Canada is in Rondeau Provincial Park and is a mere 11 km2 (Tanentzap et al., 2011). Most remaining patches of Carolinian are tiny, scattered, and situated on marginal lands with poor soils that are ill-suited to agriculture (and thus ill-suited to supporting vibrant, diverse forests). As most of the healthiest and genetically superior specimens of rare southern Ontario trees were harvested for wood in centuries past, the genetic stock that remains in the region's patchwork of forests tends to be anything but robust (Schaberg et al., 2008). \n \nNot only are southern Ontario's Carolinian forests the most biologically diverse forests in all of Canada, but they are also the most threatened (Tanentzap et al., 2011). The Carolinian biome supports over half of Canada's total biodiversity, and over half of its tree species (roughly 100 tree species of the 180 in the country) (Feagan, 2013; Tree Canada, 2013). It is home to roughly 165 species officially recognized as vulnerable, of special concern, threatened, or endangered, 12 of which are trees (OMNR, 2011). In addition to these recognized species, there are also over 500 species considered to be rare in Canada's Carolinian forest region (CCC, n.d.). The Carolinian occupies roughly 0.25% of Canada's land area yet is home to over 25% of the country's population (McLachlan and Bazely, 2003; Tanentzap et al., 2011). The fact that such a densely populated and developed area also hosts such a rich array of native biodiversity poses many unique and formidable conservation challenges. \n \nThe purpose of this research was to survey a series of five protected areas in the western Oak Ridges Moraine region of southern Ontario, locate exemplary specimens of rare native trees, catalogue their exact location, write about my experiences, and make all of the information and resources I gather available to the general public.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.671

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.178
Teacher spread0.166 · 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
Published2015
Admission routes1
Has abstractyes

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