Spatio-temporal determinants of arthropod biodiversity across an agro-ecosystem landscape
Bibliographic record
Abstract
Arthropod communities globally are declining while undergoing taxonomic and functional homogenization, with agricultural activity being a strong contributory factor. Here we use DNA metabarcoding to quantify how variation in climate, agricultural intensity, and plant community composition shape spatiotemporal variation in a metacommunity of > 10,000 arthropod species sampled from 29 Malaise traps across 15 sites in southern Ontario, Canada. Local variation in plant community composition and canopy cover best explained arthropod community dissimilarity. Climatic variables followed closely as explanatory factors, driven primarily by seasonal variation in temperature. The proportion of agricultural land at the landscape scale had no detectable effect. Our results suggest that plant community composition, microclimate, and seasonality structured the arthropod metacommunity to considerable degree, factors that are rarely incorporated into assessments of biodiversity loss due to agriculture. We conclude that habitat restoration on marginal lands is likely an effective strategy for promoting arthropod biodiversity in agroecosystems.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 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".