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Record W2106265274 · doi:10.4039/n10-001

Collective foraging patterns of field colonies of<i>Malacosoma disstria</i>caterpillars

2010· article· en· W2106265274 on OpenAlexafffund
Mélanie McClure, Emma Despland

Bibliographic record

VenueThe Canadian Entomologist · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsConcordia University
FundersCanadian Forest ServiceNatural Sciences and Engineering Research Council of Canada
KeywordsForagingBiologyPredationEcologyLepidoptera genitaliaInstarZoologyLarva

Abstract

fetched live from OpenAlex

Abstract We monitored 12 colonies of the nomadic social caterpillar Malacosoma disstria Hübner (Lepidoptera: Lasiocampidae) on trembling aspen, Populus tremuloides Michx. (Salicaceae), under field conditions in spring 2007. We examined cohesion and synchronization of colonies and spatiotemporal activity patterns to compare foraging in the field with the results of laboratory studies and with foraging by central-place foragers. All colonies were highly cohesive; fragmentation was observed only three times. Activity was highly synchronous within colonies, with clear alternation between periods of activity and quiescence. Colonies performed 4.25 ± 0.12 (mean ± SE) activity bouts per day, and foraging was more likely to occur in the early morning than at midday. Colony activity was weakly correlated with temperature. In contrast to that of M. americanum (F.), the foraging schedule was flexible: foraging was observed at all recorded times and temperatures. Colonies searched for a new feeding site every 2.54 ± 0.37 days (mean ± SE) after a food source was depleted. Time spent at a food source decreased with colony size, and distance travelled between food sources increased with instar. Malacosoma disstria caterpillars on trembling aspen are not very selective; rather, they minimize movement, thus decreasing potential contacts with predators.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.666
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.027
GPT teacher head0.212
Teacher spread0.185 · 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 teacher head, 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

Citations19
Published2010
Admission routes2
Has abstractyes

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