Evidence map›Paper›PMID 30147220›Full record

ArticleEcological modelling2018

Sensitivity analyses for simulating pesticide impacts on honey bee colonies.

A Carmen Kuan, Gloria DeGrandi-Hoffman, Robert J Curry, Kristina V Garber, Andrew R Kanarek, Marcia N Snyder, Kurt L Wolfe, S Thomas Purucker

Abstract read
In one paragraph

Article in Ecological modelling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. The BEEHAVEEnvironmental toxicology and chemistry · 2022
    Article
  3. Review
  4. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference.Ecological applications : a publication of the Ecological Society of America · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

A Carmen KuanOak Ridge Institute of Science and Education, Athens, GA, United States.
Gloria DeGrandi-HoffmanUSDA Agricultural Research Service, Tucson, AZ, United States.
Robert J CurryCrystal River Consulting, Tucson, AZ, United States.
Kristina V GarberUS EPA, Office of Pesticide Programs, Arlington, VA, United States.
Andrew R KanarekUS EPA, Office of Pesticide Programs, Arlington, VA, United States.
Marcia N SnyderUS EPA, Office of Research and Development, Corvallis, OR, United States.
Kurt L WolfeUS EPA, Office of Research and Development, Athens, GA, United States.
S Thomas PuruckerUS EPA, Office of Research and Development, Athens, GA, United States.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

We employ Monte Carlo simulation and sensitivity analysis techniques to describe the population dynamics of pesticide exposure to a honey bee colony using the VarroaPop+Pesticide model. Simulations are performed of hive population trajectories with and without pesticide exposure to determine the effects of weather, queen strength, foraging activity, colony resources, and Varroa populations on colony growth and survival. The daily resolution of the model allows us to conditionally identify sensitivity metrics. Simulations indicate queen strength and forager lifespan are consistent, critical inputs for colony dynamics in both the control and exposed conditions. Adult contact toxicity, application rate and nectar load become critical parameters for colony dynamics within exposed simulations. Daily sensitivity analysis also reveals that the relative importance of these parameters fluctuates throughout the simulation period according to the status of other inputs.

Indexed as

Colony population modelHoney beePesticidesPollinatorSensitivity analysis

Identifiers

PMID30147220
PMCPMC6104650

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.