An assessment of the diversity of ground-dwelling invertebrates in three urban land-use types in central British Columbia
Bibliographic record
Abstract
Ground dwelling arthropods and other sympatric invertebrates in urban environments often exist completely unnoticed yet are known to provide important ecosystem services1,2,3. The central interior of British Columbia is largely unsurveyed for many taxa, and its urban centers have been particularly ignored. Prince George (population ~75000) is the main industrial and service hub for much of the interior of British Columbia north of Kamloops. Due to rapid industrialization of the central and northern interior of British Columbia, Prince George is also experiencing substantial growth in economic activity and population. Development decisions in this context should be based on sound ecological data, yet little to no urban arthropod biodiversity data exist for the region. We monitored arrays of pitfall traps in three land-use types (residential, greenbelt, industrial; N = 4 for each) on a near-weekly basis during the summer of 2015 in Prince George, British Columbia. Initial sorting and morphospecies-based DNA barcoding has revealed over 180 species as a conservative estimate for γ-diversity. Several groups – such as Megaselia spp. flies (Phoridae), platygastrid wasps, and spiders – show substantial levels of diversity. We are currently working on completing a pictorial catalog of the local fauna to aid in our ongoing sorting and detailed assessment of assemblages found at each land-use type.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".