Evidence map›Paper›PMID 18548311›Full record

ReviewJournal of chemical ecology2008

Physical processes and real-time chemical measurement of the insect olfactory environment.

Jeffrey A Riffell, Leif Abrell, John G Hildebrand

Abstract readReview
In one paragraph

Review in Journal of chemical ecology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. When noncanonical olfaction is optimal.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Recalibrating Olfactory Neuroscience to the Range of Naturally Occurring Odor Concentrations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  9. Article
  10. Article
  11. Classification of Odor-Derived Electroantennograms with Machine Learning.Integrative organismal biology (Oxford, England) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Olfaction in the Anthropocene: NOScience (New York, N.Y.) · 2024
    Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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.

Jeffrey A RiffellARL Division of Neurobiology, University of Arizona, Tucson, AZ 857210-0077, USA. jeffr@neurobio.arizona.edu
Leif Abrell
John G Hildebrand

Funding

POST DOCTORAL EXCELLENCE IN RESEARCH AND TEACHINGK12GM000708 · NIGMS · UNIVERSITY OF ARIZONA · PI STRAUSFELD, NICHOLAS J · 2000 to 2018
$21.5M
GLOMERULI AS FUNCTIONAL UNITS FOR OLFACTORY CODINGR01DC002751 · NIDCD · UNIVERSITY OF ARIZONA · PI HILDEBRAND, JOHN G · 1995 to 2013
$4.1M
NIDCD NIH HHS DC-02751NIDCD NIH HHS R01 DC002751NIGMS NIH HHS 2 K12 GM000708-06NIGMS NIH HHS K12 GM000708
6 · The paper itself

Abstract

Odor-mediated insect navigation in airborne chemical plumes is vital to many ecological interactions, including mate finding, flower nectaring, and host locating (where disease transmission or herbivory may begin). After emission, volatile chemicals become rapidly mixed and diluted through physical processes that create a dynamic olfactory environment. This review examines those physical processes and some of the analytical technologies available to characterize those behavior-inducing chemical signals at temporal scales equivalent to the olfactory processing in insects. In particular, we focus on two areas of research that together may further our understanding of olfactory signal dynamics and its processing and perception by insects. First, measurement of physical atmospheric processes in the field can provide insight into the spatiotemporal dynamics of the odor signal available to insects. Field measurements in turn permit aspects of the physical environment to be simulated in the laboratory, thereby allowing careful investigation into the links between odor signal dynamics and insect behavior. Second, emerging analytical technologies with high recording frequencies and field-friendly inlet systems may offer new opportunities to characterize natural odors at spatiotemporal scales relevant to insect perception and behavior. Characterization of the chemical signal environment allows the determination of when and where olfactory-mediated behaviors may control ecological interactions. Finally, we argue that coupling of these two research areas will foster increased understanding of the physicochemical environment and enable researchers to determine how olfactory environments shape insect behaviors and sensory systems.

Indexed as

AnimalsBody SizeChemistry Techniques, AnalyticalInsectaOdorantsSmellTime Factors

Identifiers

PMID18548311
PMCPMC2778261

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.