Host infection stragegies determine dispersal abilities in freshwater mussels (bivalvia: Unionidae)
Bibliographic record
Abstract
Unionid freshwater mussels are a highly imperiled group. Little is known about their dispersal, which is a complex process that depends on the transport of larvae (glochidia) and juveniles in the water column, and movement of their host fish during the mussels' parasitic stage. The hypothesis of this research was that specialization with respect to host infection strategy influences dispersal abilities. This was examined by comparing dispersal processes and early life history traits among Lampsilini mussels. I focused on ' Actinonaias ligamentina' that broadcasts its glochidia and was therefore considered a "generalist", and 'Epioblasma triquetra', a "specialist" that captures its host between the valves. Release experiments with stained glochidia showed that glochidia of the generalist can travel in the water column considerable distances (up to 100 m in low flow conditions), whereas glochidia of the specialist can attach directly to the trapped fish. Transport distances of juvenile mussels of both species may extend over 10s of m as suggested by a combination of field and lab experiments, if turbulent flow conditions diminish the effect of lower release heights in the water column from the specialist's benthic hosts. Examination of host fish movements were based on a mark-recapture study and a literature review, which indicated that the specialist's host fish has significantly shorter movement distances (10s of m) than host fish of the generalist (100s of m to km). In addition, the conservation statuses of mussels in Ontario appear to be associated with the movement distances of their host fish. Overall, the generalist (broadcaster) has considerably larger dispersal distances than the specialist (host capture), which is reflected in the findings that early life history traits relevant for dispersal differ considerably between broadcasting and host capture species. Other species that attract hosts with mimetic mantle flaps and packages of glochidia (conglutinates) fill positions between these extremes with respect to both dispersal abilities and early life history traits. This study demonstrates that dispersal distances can differ considerably among mussel species, but are predictable based on their ecology, which is a crucial first step to understand connectivity of populations and to develop sound conservation strategies.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".