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Record W1986982110 · doi:10.1002/bies.201000075

Colony Collapse Disorder in context

2010· article· en· W1986982110 on OpenAlexaffabout
Geoffrey R. Williams, David R. Tarpy, Dennis vanEngelsdorp, Marie‐Pierre Chauzat, Diana Cox-Foster, Keith S. Delaplane, Peter Neumann, Jeffery S. Pettis, Richard E. L. Rogers, Dave Shutler

Bibliographic record

VenueBioEssays · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsAcadia UniversityDalhousie University
Fundersnot available
KeywordsContext (archaeology)Library scienceHistoryArchaeologyComputer science

Abstract

fetched live from OpenAlex

CCD, Colony Collapse Disorder. Although most of humanity relies upon foods that do not require animal pollination 1, production of 39 of the world's 57 most important monoculture crops still benefits from this ecosystem service 2. Western honey bees (Apis mellifera) are undoubtedly the single-most valuable animal pollinators to agriculture because they can be easily maintained and transported to pollinator-dependent crops. Yet, despite an almost 50% increase in world honey bee stocks over the last century, beekeepers have not kept pace with the >300% increase in pollinator-dependent crops 3. This has led to great uncertainty surrounding the recent large-scale die-offs of honey bees around the world, and has sparked enormous interest from both scientists and the general public. Although sharp regional declines in honey bee populations have occurred in the past, such as the so-called unexplainable “Isle of Wight” disease in the early 1900s 4, the magnitude and velocity of these recent declines are likely unprecedented. Often in the media (e.g. “Mobile phones responsible for disappearance of honey bee,” available at www.telegraph.co.uk), and sometimes in the scientific literature (e.g. 5), these losses are inappropriately equated with “Colony Collapse Disorder” or CCD, which is characterized by the rapid disappearance of adult bees from colonies containing brood and food stores but lacking damaging levels of parasitic Varroa destructor mites or Nosema microsporidians 6. Although, we agree that CCD is indeed a significant cause for concern, we believe that it is imperative to appropriately place CCD within the greater context of other honey bee morbidities occurring worldwide. In many cases, these morbidities can be explained by known parasites or beekeeper management issues. One example is the devastation caused by beekeepers' inability to control V. destructor, which not only feeds on host haemolymph and weakens host immunity but also vectors a variety of viruses 7. In other cases, however, these morbidities are genuinely unexplainable, including those attributed to CCD sensu stricto 6. In recent winters, colony mortality in Europe has averaged ∼20% (ranging from 1.8 to 53% among countries), with starvation and parasites believed to be the main contributors (“Proceedings of the 4th COLOSS Conference, Zagreb, Croatia, 3-4 March 2009”, available at www.coloss.org/publications). Colony mortality during the 2006/2007, 2007/2008, and 2008/2009 winters in the US, the only country where CCD has been documented sensu stricto, was 32% 8, 36% 9, and 29% 10, respectively. During the winter of 2008/2009, ∼10% of the 2.3 million managed honey bee colonies in the US died with “CCD-like symptoms”, and US beekeepers self-diagnosed CCD as only the 8th most important contributor to colony mortality, behind starvation, queen-related issues, and parasites 10. The point is, honey bees die from many things. We must be careful to not synonymize CCD with all honey bee losses. There is a growing consensus that colony mortality is the product of multiple factors, both known and unknown, acting singly or in combination 11, 12. Considering the reliance that modern agriculture places on honey bees for pollination, coordinated efforts, such as those of CANPOLIN (Canadian Pollination Initiative, www.uoguelph.ca/canpolin), COLOSS (Prevention of Honeybee Colony Losses, www.coloss.org), and the US Department of Agriculture's Areawide and Managed Pollinator CAP (Coordinated Agricultural Project) 13, are urgently needed to understand and mitigate these losses. The first step in these efforts should be to objectively discriminate among types of colony mortality occurring worldwide. This will permit a more informed and appropriate allocation of research efforts into CCD specifically and other causes of mortality in general.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.026
GPT teacher head0.210
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations172
Published2010
Admission routes2
Has abstractyes

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