MétaCan
Menu
← Back to cohort
Record W7061022326

Overwintering habitat and the success of the biocontrol beetle, Cassida rubiginosa Müller (Coleoptera: Chrysomelidae)

2020· article· en· W7061022326 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsOverwinteringPasturePopulationHabitatBiological pest controlIntroduced species
DOInot available

Abstract

fetched live from OpenAlex

The leaf-feeding beetle, Cassida rubiginosa, was introduced to New Zealand in 2007 as a biological control agent against the pasture weed, Cirsium arvense (Californian thistle, Canada thistle, creeping thistle). The beetle is now well-established in most regions of New Zealand, but outbreak population have only been observed in one region (Wairarapa). We hypothesised that overwintering habitat type might affect the survival of the beetle and its ability to achieve outbreak population densities. We tested the overwintering survival of C. rubiginosa in three different habitats: radiata pine forest, native New Zealand forest, and pasture, in a region where the beetle is not currently observed (Gisborne). In April (autumn) 2016, adult diapausing C. rubiginosa were placed in overwintering cages established in the three habitats, and in October (spring) their survival was assessed. For explanatory data, temperature and relative humidity was recorded in each habitat, and predatory spiders were also sampled. The total recovery rate of overwintered beetles was greatest in the native forest (42 ± 7.9%), followed by ungrazed pasture (32.5 ± 7.5%), and pine forest (7.5 ± 4.2%). The total percentage recovered was not significantly different between the native forest and pasture habitats, but both of these habitats had greater recovery rates than the pine habitat. The recovery rate of C. rubignosa decreased with increasing temperature and decreasing relative humidity. The native forest provided the best insulation against temperature and humidity extremes on a daily basis, and across the winter season, and is the likely explanation for the greater recovery rates in that habitat. Overall, spider abundance and species numbers in the test habitats were low, and did not appear to influence the overwintering survival rates. This study has provided initial evidence that the particular overwintering habitat available in New Zealand may contribute to the success of this biocontrol agent, and suggests that native forest with a leaf litter layer is likely to provide a better habitat than pine forest.

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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicMagnetic confinement fusion research→French-language works237,207→