A 'Mitey' Influence? Life History, Impacts and Distribution of a Gall-inducing Arthropod in a Temperate Forest Canopy
Bibliographic record
Abstract
Mature forest canopies worldwide sustain an enormous diversity of arthropods, many of which are specialist natural enemies. However, with the exception of species that exhibit massive outbreaks, host-specific canopy arthropods are thought to have relatively little influence on tree health and overall forest productivity. My thesis examines the role of one such arthropod in a temperate forest stand in central Ontario. The maple spindle gall mite Vasates aceriscrumena (Riley) (Acari: Eriophyoidae) is a host-specific canopy parasite that induces galls on leaves of sugar maple Acer saccharum Marsh. I examine three diverse topics related to this host-parasite system: 1) the seasonal phenology of this mite in mature sugar maple canopies, 2) the impacts of galling on host physiology and growth and 3) the distribution of this mite across host ontogeny and within the broader context of the local forest community. With respect to phenology, I document a previously unobserved interaction between the gall-inducer and a gall-invading mite (ubiquitous in the canopy but new to science) and consequences of this on the bionomics of galling mite populations. This work is also the first to examine differential physiological responses to galling across two distinct stages in the ontogeny of the host. Infected leaves in mature trees show drastic reductions in gas-exchange processes (photosynthesis, stomatal conductance and water use efficiency) while infected sapling leaves show no such detectible responses. Further, I find a significant negative correlation between radial increment growth in mature trees and levels of mite galling, as well as significantly increased galling frequency in mature trees compared with understory saplings. Finally, I explore the relationship between galling abundance and abiotic and biotic variables within a large mapped forest plot and show that gall densities are most strongly correlated with local species diversity and less so with host densities. Overall, my research provides a new perspective on the influence of host-specific, dispersal-limited canopy arthropods as major drivers of ‘age-dependent’ reductions in physiological performance and growth of older trees and as natural enemies that are strongly associated with local forest community distribution patterns.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".