Evidence map›Paper›PMID 29998402›Full record

ArticleOecologia2018

High levels of abiotic noise in volatile organic compounds released by a desert perennial: implications for the evolution and ecology of airborne chemical communication.

J Keaton Wilson, H Arthur Woods, André Kessler

Abstract read
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In one paragraph

Article in Oecologia, 2018. 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
1.9field-weighted citation impact, top 12% of its field
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, 8 citations in OpenAlex.

  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

3 authors at 3 institutions in 1 country.

J Keaton WilsonDepartment of Entomology, University of Arizona, 1040 E 4th Street, PO Box 210077, Tucson, AZ, 85721, USA. keatonwilson@email.arizona.edu.
H Arthur WoodsOrganismal Biology, Ecology and Evolution, University of Montana, 32 Campus Drive HS104, Missoula, MT, 59812, USA.
André KesslerDepartment of Ecology and Evolutionary Biology, Cornell University, 445 Corson Hall, Ithaca, NY, 14853, USA.
Cornell University · USUniversity of Arizona · USUniversity of Montana · US

Funding

National Institutes of Health K12GM000708National Science Foundation IOS-0844916
6 · The paper itself

Abstract

Plants release airborne volatile organic compounds (VOCs) in response to abiotic and biotic stimuli, including herbivory. These chemicals are used by insect parasitoids as sources of information that aid in finding hosts. It is unclear how biotic and abiotic factors interact to affect blend composition and the ability of insects to interpret signals. Here, we present a novel stimulus-space model, and use it to examine patterns of VOC emission. In field experiments, we manipulated herbivory levels and collected VOCs in a population of wild Datura wrightii, while simultaneously measuring key abiotic factors. We mirrored field experiments under controlled conditions in the lab, and used both sets of data to test predictions made by our proposed model. VOC blends were structured mainly by variation in abiotic factors, not herbivory. However, linear discriminant analysis showed that it is possible to distinguish different herbivory levels. We show that most compounds produced by D. wrightii are invariant, or respond solely to environmental variation or herbivory. Our results suggest that blend composition may be under selection for noise reduction, to maximize responses from potential receivers, and that abiotic variation can act as potentially strong sources of noise in chemical communication displays.

Indexed as

DaturaVolatile Organic CompoundsAnimalsEcologyHerbivoryInsectaVolatile Organic CompoundsChemical communicationDaturaManducaVOCs

Identifiers

PMID29998402
OpenAlexW2852206336

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.