Literature DB >> 24242052

Spatial distribution of odors in simulated benthic boundary layer flows.

P A Moore1, M J Weissburg, J M Parrish, R K Zimmer-Faust, G A Gerhardt.   

Abstract

Many animals orient to odor sources in aquatic habitats where different flows and substrates affect the hydrodynamics of benthic boundary layers. Since the dispersal of chemicals is due to the fluid mechanics of a particular environment, we quantified the changes in the fine structure of an odor plume under different hydrodynamic conditions in the benthic boundary layer of a laboratory flume. We sampled turbulent odor plumes at 10 Hz using a microchemical sensor (150 µm diameter) under two flow speeds: 3.8 and 14.4 cm/sec, and at 1, 8, 50 mm above the substrate. These distances above the substrate occur within different flow regions of the boundary layer and correlate with the location of crustacean chemosensory appendages within boundary layer flows. The high flow velocity exhibited a greater level of turbulence and had more discrete odor pulses than the low flow velocity. In general, odor signals showed a high level of temporal variation in fast flow at heights 1 and 8 mm above the substrate. In slow flow, temporal variation was maximal at 50 mm above the substrate, exhibiting more variance than the same height at the fast flow. These patterns of odor signals resulted in part from differences in the height above the substrate of the main axis of the odor plume at the two flow speeds. Our results imply that animals chemically orienting to an odor source will need to compensate for varying hydrodynamic properties of odor transport and dispersal. The method by which animals extract spatial information from odor plumes will need to account for changing flow conditions, or else it will not be equally efficient in extracting information about chemical spatial distributions.

Year:  1994        PMID: 24242052     DOI: 10.1007/BF02064435

Source DB:  PubMed          Journal:  J Chem Ecol        ISSN: 0098-0331            Impact factor:   2.626


  9 in total

1.  Adaptation in chemoreceptor cells. II. The effects of cross-adapting backgrounds depend on spectral tuning.

Authors:  P F Borroni; J Atema
Journal:  J Comp Physiol A       Date:  1989-09       Impact factor: 1.836

2.  A reappraisal of insect flight towards a distant point source of wind-borne odor.

Authors:  C T David; J S Kennedy; A R Ludlow; J N Perry; C Wall
Journal:  J Chem Ecol       Date:  1982-09       Impact factor: 2.626

3.  Adaptation in chemoreceptor cells. I. Self-adapting backgrounds determine threshold and cause parallel shift of response function.

Authors:  P F Borroni; J Atema
Journal:  J Comp Physiol A       Date:  1988-11       Impact factor: 1.836

4.  Structure of aesthetases in selected marine and terrestrial decapods: chemoreceptor morphology and environment.

Authors:  H T Ghiradella; J F Case; J Cronshaw
Journal:  Am Zool       Date:  1968-08

Review 5.  Adaptation processes in insect olfactory receptors. Mechanisms and behavioral significance.

Authors:  K E Kaissling; C Zack Strausfeld; E R Rumbo
Journal:  Ann N Y Acad Sci       Date:  1987       Impact factor: 5.691

6.  Nafion-coated electrodes with high selectivity for CNS electrochemistry.

Authors:  G A Gerhardt; A F Oke; G Nagy; B Moghaddam; R N Adams
Journal:  Brain Res       Date:  1984-01-09       Impact factor: 3.252

Review 7.  Chemoreception in the sea: adaptations of chemoreceptors and behaviour to aquatic stimulus conditions.

Authors:  J Atema
Journal:  Symp Soc Exp Biol       Date:  1985

8.  Evaluation of time-average dispersion models for estimating pheromone concentration in a deciduous forest.

Authors:  J S Elkinton; R T Cardé; C J Mason
Journal:  J Chem Ecol       Date:  1984-07       Impact factor: 2.626

9.  In vivo electrochemical demonstration of potassium-evoked monoamine release from rat cerebellum.

Authors:  G A Gerhardt; G M Rose; B J Hoffer
Journal:  Brain Res       Date:  1987-06-16       Impact factor: 3.252

  9 in total
  9 in total

Review 1.  Ecological consequences of chemically mediated prey perception.

Authors:  Marc J Weissburg; Matthew C Ferner; Daniel P Pisut; Delbert L Smee
Journal:  J Chem Ecol       Date:  2002-10       Impact factor: 2.626

2.  Spatial arrangement of odor sources modifies the temporal aspects of crayfish search strategies.

Authors:  Mary C Wolf; Rainer Voigt; Paul A Moore
Journal:  J Chem Ecol       Date:  2004-03       Impact factor: 2.626

3.  Regulation of sex-specific feeding behavior in fiddler crabs: physiological properties of chemoreceptor neurons in claws and legs of males and females.

Authors:  M J Weissburg; C D Derby
Journal:  J Comp Physiol A       Date:  1995-04       Impact factor: 1.836

4.  Chemical orientation of brown bullheads, Ameiurus nebulosus, under different flow conditions.

Authors:  M L Sherman; P A Moore
Journal:  J Chem Ecol       Date:  2001-11       Impact factor: 2.626

5.  Early warning in the predation sequence: A disturbance pheromone in Iowa darters (Etheostoma exile).

Authors:  B D Wisenden; D P Chivers; R J Smith
Journal:  J Chem Ecol       Date:  1995-10       Impact factor: 2.626

6.  Tuning host specificity during the ontogeny of a fish ectoparasite: behavioural responses to host-induced cues.

Authors:  Victor N Mikheev; Anna F Pasternak; E Tellervo Valtonen
Journal:  Parasitol Res       Date:  2004-01-08       Impact factor: 2.289

7.  Colour as a backup for scent in the presence of olfactory noise: testing the efficacy backup hypothesis using bumblebees (Bombus terrestris).

Authors:  David A Lawson; Heather M Whitney; Sean A Rands
Journal:  R Soc Open Sci       Date:  2017-11-29       Impact factor: 2.963

8.  History dependence in insect flight decisions during odor tracking.

Authors:  Rich Pang; Floris van Breugel; Michael Dickinson; Jeffrey A Riffell; Adrienne Fairhall
Journal:  PLoS Comput Biol       Date:  2018-02-12       Impact factor: 4.475

9.  Walking Drosophila navigate complex plumes using stochastic decisions biased by the timing of odor encounters.

Authors:  Mahmut Demir; Nirag Kadakia; Hope D Anderson; Damon A Clark; Thierry Emonet
Journal:  Elife       Date:  2020-11-03       Impact factor: 8.140

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.