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Record W7014422980

The potential for waterbirds to act as a vector for zooplankton dispersal in the North Island, New Zealand

2023· dissertation· en· W7014422980 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Commons (University of Waikato) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsZooplanktonBiological dispersalDiapauseTrophic levelAbundance (ecology)Freshwater ecosystem
DOInot available

Abstract

fetched live from OpenAlex

Zooplankton are essential components of freshwater ecosystems by controlling algal growth and sustaining higher trophic levels. Freshwater zooplankton are geographically isolated and are incapable of active dispersal to new freshwater sites. The dispersal of zooplankton can occur through natural dispersal vectors (e.g., wind, rain or waterfowl) or through human-mediated dispersal vectors (e.g., accidental or deliberate introductions). Dispersal of zooplankton is vital for maintaining gene flow between isolated sites and colonising new habitats. Zooplankton diapause eggs are well suited for dispersal as they are resistant to harsh conditions, e.g., digestion, drying and freezing. Diapause eggs increase the chance of survival in unfavourable conditions and are an important part of a zooplankton’s life cycle. This paper analyses New Zealand waterbirds’ dispersal of zooplankton internally (endozoochory) and externally (ectozoochory). This study quantified the dispersal of zooplankton internally (endozoochory) using the faecal droppings collected from waterbirds at two New Zealand Lakes. Faecal droppings were collected from Mallard Ducks, Canadian Geese, Greylag Geese, Black Swans and Australian Coots from Lake Rotoroa and Lake Rotorua. A total of 50 eggs were found in the faecal droppings of waterbirds, with a mean number of 0.75 eggs found per dropping. These results indicate that waterbirds are consuming zooplankton eggs. However, no significant difference was observed in the propagule count among waterbird species. Therefore it was unlikely that the waterbird species impacted the abundance or viability of diapause eggs. The sediment experiment showed zooplankton are inhabiting the shores of Lake Rotorua and Lake Rotoroa, where waterbirds are likely to come in contact with diapause located within the sediment. In Lake Rotorua, diapausing eggs from six species of rotifers, cladocerans, copepods and ostracods hatched from the littoral sediments. Strikingly, no hatching was observed in the littoral sediments from Lake Rotoroa. These results suggest that diapausing eggs are readily available to be picked up by waterbirds for external dispersal (ectozoochory). This study quantified the potential for zooplankton to be dispersed by waterbirds internally (endozoochory) and externally (ectozoochory). Results suggest that waterbird dispersal of zooplankton is occurring, but the numbers being transported are low. Although, the transport of a few individuals may be enough to achieve gene flow. Waterbirds are not be the primary vector for the dispersal of zooplankton. Human-mediated contributions e.g., shipping-related activities (ballast tanks), may play a more significant role than waterbirds in the dispersal of zooplankton.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.289
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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