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Record W3198149872 · doi:10.1093/ee/nvab090

Life History, Biology, and Distribution of<i>Pterostichus melanarius</i>(Coleoptera: Carabidae) in North America

2021· article· en· W3198149872 on OpenAlexaboutno aff
Anna K. Busch, Briana Wham, John F. Tooker

Bibliographic record

VenueEnvironmental Entomology · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyRange (aeronautics)EcologyGeneralist and specialist speciesDistribution (mathematics)HabitatNiche

Abstract

fetched live from OpenAlex

Pterostichus melanarius (Illiger, 1798) is a Palearctic generalist predator native to Europe. It was unintentionally introduced to North America at least twice in the mid 1920s and has since become widespread in Canada and the United States. Although P. melanarius is a valuable natural enemy in many different agricultural systems, we are not aware of any effort to compile in one publication details of its life history, diet, distribution, and factors that influence its populations. Some studies in North America have investigated the effects of P. melanarius on pest species and native carabid assemblages. Moreover, given that it is an exotic species whose range appears to still be expanding, it will be valuable to predict its potential distribution in North America. Therefore, the goals of this paper are to: 1) compile information on the life history and biology of P. melanarius, 2) review the effects of various agricultural practices on this species, and 3) use ecological niche modeling to determine the potential range of P. melanarius in the United States and which climate variables are most important for range expansion. Our review revealed that P. melanarius appears to provide benefits most consistently in diverse agricultural systems managed with no-till or reduced till methods, whereas our modeling revealed that P. melanarius likely occupies, or will occupy, more of the northern U.S. than is currently recognized, particularly in the Appalachian and Rocky Mountain regions.

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 score0.200
Threshold uncertainty score0.879

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)0.0010.000

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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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
Published2021
Admission routes1
Has abstractyes

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