Indicators of competition in a Northwestern Ontario jack pine plantation
Bibliographic record
Abstract
Competition in forestry is discussed as a prelude to the hypothesis that tree seedling \ngrowth is strongly related to that of other vegetation close to it. The hypothesis states that: \na) the relationship is species-dependent; b) seedling growth is inversely proportional to the \namount of other nearby vegetation; c) seedling growth is directly proportional to the distance \nseparating the tree from other vegetation; and d) that the amount of competition is \nquantifiable by some measurement of the tree seedling. The study was conducted in a four year- \nold Pinus banksiana plantation in Northwestern Ontario. Several non-crop plant \nspecies occupied the site: Epilobium angustifolium, Calamagrostis canadensis, Carex spp., \nRubus idaeus, Corylus cornuta, Prunus pensylvanica, Betula papyrifera, Acer spicatum and \nAlnus crispa.. The author established in the study area 110 sample plots of 1.13 m radius \n(4 irfi ) divided into 2 m^ inner and 2 m^ outer rings centred on jack pine (crop) tree \nseedlings. For each plot, a tally sheet was completed recording: (a) crop tree parameters \n(height, stem diameter, and crown width), and (b) non-crop species, average height, and \nground cover as a percentage of the plot. Samples of jack pine from peripheral areas and \nnon-crop species above-ground biomass samples were collected, dried, and weighed. The \ncrop tree parameters were correlated to the non-crop species measurements and Towill and \nArchibald's (1991) Competition Index (T&A?s Cl) method was applied to assess the degree \nof competition. The correlation coefficients (r) for crop tree parameters with non-crop \nspecies vary from 0.852 for alder, 0.602 for natural jack pine, -0.572 for total plant species \nas a group, to 0.239 for fireweed. T&A?s CIs correlate highly with the estimated dry \nweight for all plant species (r = 0.845), but poorly with the jack pine parameters (r = -0.259 \nto -0.377). The strengths and weaknesses of this Cl are considered, and modifications are \nproposed, formulated and applied individually and in combination. The best correlations of \nthe modified indices with jack pine dry weight and with any other parameters were not \nsignificantly different from the unmodified index.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".