Evidence map›Paper›PMID 32060669›Full record

ArticleEcotoxicology (London, England)2020

Lethal and sublethal effects of toxicants on bumble bee populations: a modelling approach.

J E Banks, H T Banks, N Myers, A N Laubmeier, R Bommarco

Abstract read
In one paragraph

Article in Ecotoxicology (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

J E BanksUndergraduate Research Opportunities Center, California State University, Monterey Bay, Seaside, CA, 93955, USA. jebanks@csumb.edu.ORCID http://orcid.org/0000-0001-6793-7613
H T BanksCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA.
N MyersCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA.
A N LaubmeierCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA.
R BommarcoDepartment of Ecology, Swedish University of Agricultural Sciences, Uppsala, 750 07, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollinator decline worldwide is well-documented; globally, chemical pesticides (especially the class of pesticides known as neonicotinoids) have been implicated in hymenopteran decline, but the mechanics and drivers of population trends and dynamics of wild bees is poorly understood. Declines and shifts in community composition of bumble bees (Bombus spp.) have been documented in North America and Europe, with a suite of lethal and sub-lethal effects of pesticides on bumble bee populations documented. We employ a mathematical model parameterized with values taken from the literature that uses differential equations to track bumble bee populations through time in order to attain a better understanding of toxicant effects on a developing colony of bumble bees. We use a delay differential equation (DDE) model, which requires fewer parameter estimations than agent-based models while affording us the ability to explicitly describe the effect of larval incubation and colony history on population outcomes. We explore how both lethal and sublethal effects such as reduced foraging ability may combine to affect population outcomes, and discuss the implications for the protection and conservation of ecosystem services.

Indexed as

Environmental MonitoringAgricultureAnimalsBeesEcosystemHazardous SubstancesNeonicotinoidsPesticidesPollinationHazardous SubstancesNeonicotinoidsPesticidesDelay differential equationHymenopteraNeonicitinoid

Identifiers

PMID32060669
PMCPMC7103009

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.