Effects of Fragment Size and Habitat Heterogeneity on Cryptogam Diversity in the Low-boreal Forest of Western Canada
Bibliographic record
Abstract
The effects of fragmentation of the sub-humid low-boreal forest in agro environments on bryophyte and lichen diversity were analyzed on 44 woodlots in three regions of northern Alberta, Canada. Woodlots were selected to cover a wide variety of shapes and sizes in each area. Several microclimatic variables, which included temperature at three different heights above the forest floor, relative humidity, and the amount of light penetration were measured in five m diameter circular sample plots along transects that covered the length and the width of each fragment. The number of microhabitats that included living trees with creviced and smooth bark, standing dead, different decay classes of downed woody debris, soil and rock were tabulated at each sample plot. Bryophyte and lichen presence was noted for all microhabitats found within each plot. There was a trend of decreasing temperature and light intensity and increasing humidity up to 15 m from the edge of the fragments. A multiple regression analysis revealed that the distance from edge and the habitat heterogeneity were the most important variables affecting bryophyte and lichen species richness. Further analysis indicated that edge effects were significant for bryophytes, but not for lichens. The size and shape of fragments had a significant effect on habitat heterogeneity, and bryophyte and lichen diversity. Although there was a distinction between the floras in each region, the effects of fragment size and habitat heterogeneity were similar. An indicator species analysis selected several indicators of large, medium, and small fragments that were also indicators of habitat heterogeneity and species richness. The presence or absence of several indicator species is used to produce performance benchmarks for habitat heterogeneity and species richness. The use of indicator species offers an inexpensive and relatively easy method to evaluate edge effects and habitat heterogeneity on bryophyte and lichen diversity in woodlots.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".