Bee-ing a Pollinator: Constraints, Concerns, and Challenges of Lowbush Blueberry Pollination
Bibliographic record
Abstract
Lowbush blueberry (Vaccinium angustifolium Ait.) represents the most economically significant fruit crop in Canada. The primary production areas are in the provinces of Quebec, the Maritime provinces of Canada, and the state of Maine, USA. Effective entomophilous pollination is indispensable for achieving optimal fruit sets; however, significant challenges persist due to gaps in knowledge regarding the crop’s biology, factors influencing pollination and yield variability, optimal densities of commercial pollinators, and limitations associated with commercial pollination practices. This review systematically explores the critical components underpinning the pollination of lowbush blueberry fields in North America. The article is organized into six sections, addressing the crop’s commercial importance, its biological and pollination requirements, factors affecting pollination and yield, the efficacy and constraints of wild and commercial pollinators, and the risks inherent in commercial pollination systems. The findings identify monoculture dependence, the decline of wild pollinator populations, the increasing use of commercial pollinators, and the risks associated with managed bumble bee introduction as the primary challenges for sustainable pollination. This review underscores the indispensable role of wild pollinators in lowbush blueberry production and suggests that future research should prioritize the development of conservation strategies at the landscape level to ensure sustainability and long-term productivity.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".