Evidence map›Paper›PMID 31343774›Full record

ArticleEnvironmental toxicology and chemistry2019

An Evaluation of the BEEHAVE Model Using Honey Bee Field Study Data: Insights and Recommendations.

Annika Agatz, Roland Kuhl, Mark Miles, Thorsten Schad, Thomas G Preuss

Abstract readEvaluation Study
In one paragraph

Article in Environmental toxicology and chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. The BEEHAVEEnvironmental toxicology and chemistry · 2022
    Article
  2. Article
  3. Article
  4. Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework.Ecological applications : a publication of the Ecological Society of America · 2021
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Annika Agatzibacon, Rossdorf, Germany.
Roland Kuhlibacon, Rossdorf, Germany.ORCID 0000-0003-3228-8822
Mark MilesCrop Science Division, Bayer, Monheim, Germany.
Thorsten SchadCrop Science Division, Bayer, Monheim, Germany.
Thomas G PreussCrop Science Division, Bayer, Monheim, Germany.

Funding

Bayer AG
6 · The paper itself

Abstract

A lack of standard and internationally agreed procedures for higher-tier risk assessment of plant protection products for bees makes coherent availability of data, their interpretation, and their use for risk assessment challenging. Focus has been given to the development of modeling approaches, which in the future could fill this gap. The BEEHAVE model, and its submodels, is the first model framework attempting to link 2 processes vital for the assessment of bee colonies: the within-hive dynamics for honey bee colonies and bee foraging in heterogeneous and dynamic landscapes. We use empirical data from a honey bee field study to conduct a model evaluation using the control data set. Simultaneously, we are testing several model setups for the interlinkage between the within-hive dynamics and the landscape foraging module. Overall, predictions of beehive dynamics fit observations made in the field. This result underpins the European Food Safety Authority's evaluation of the BEEHAVE model that the most important in-hive dynamics are represented and correctly implemented. We show that starting conditions of a colony drive the simulated colony dynamics almost entirely within the first few weeks, whereas the impact is increasingly substituted by the impact of foraging activity. Common among field studies is that data availability for hive observations and landscape characterizations is focused on the proportionally short exposure phase (i.e., the phase where colony starting conditions drive the colony dynamics) in comparison to the postexposure phase that lasts several months. It is vital to redistribute experimental efforts toward more equal data aquisition throughout the experiment to assess the suitability of using BEEHAVE for the prediction of bee colony overwintering survival. Environ Toxicol Chem 2019;38:2535-2545. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.

Indexed as

Models, BiologicalAnimalsBeesComputer SimulationEcosystemHoneyRisk AssessmentApis melliferaBEEHAVEBEESCOUTEnvironmental modelingHazard/risk assessmentLandscape ecologyPopulation modelingstressors

Identifiers

PMID31343774
PMCPMC6856857

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.