Towards Quantitative Optical Cross Sections in Entomological Laser Radar - Potential of Temporal and Spherical Parameterizations for Identifying Atmospheric Fauna.

Mikkel Brydegaard
Author Information
  1. Mikkel Brydegaard: Lund Laser Center, Department of Physics, Lund University, Sölvegatan 14, SE 223 62, Lund, Sweden; Centre for Animal Movement Research, Department of Biology, Lund University, Sölvegatan 37, SE 223 62, Lund, Sweden; Hyspex, Norsk Elektro Optikk A/S, Prost Stabels Vei 22, N-2019, Skedsmokorset, Norway.

Abstract

In recent years, the field of remote sensing of birds and insects in the atmosphere (the aerial fauna) has advanced considerably, and modern electro-optic methods now allow the assessment of the abundance and fluxes of pests and beneficials on a landscape scale. These techniques have the potential to significantly increase our understanding of, and ability to quantify and manage, the ecological environment. This paper presents a concept whereby laser radar observations of atmospheric fauna can be parameterized and table values for absolute cross sections can be catalogued to allow for the study of focal species such as disease vectors and pests. Wing-beat oscillations are parameterized with a discrete set of harmonics and the spherical scatter function is parameterized by a reduced set of symmetrical spherical harmonics. A first order spherical model for insect scatter is presented and supported experimentally, showing angular dependence of wing beat harmonic content. The presented method promises to give insights into the flight heading directions of species in the atmosphere and has the potential to shed light onto the km-range spread of pests and disease vectors.

References

  1. Appl Spectrosc. 2016 Feb;70(2):372-85 [PMID: 26772187]
  2. Biol Rev Camb Philos Soc. 2014 Aug;89(3):511-30 [PMID: 24106908]
  3. BMC Vet Res. 2014 Jun 19;10:135 [PMID: 24943652]
  4. Genetics. 1942 May;27(3):349-61 [PMID: 17247046]
  5. Science. 2009 Jul 24;325(5939):449-51 [PMID: 19628862]
  6. J Exp Biol. 2012 Mar 15;215(Pt 6):903-13 [PMID: 22357584]
  7. Proc Natl Acad Sci U S A. 2011 Jan 11;108(2):668-73 [PMID: 21199954]
  8. Appl Opt. 2010 Sep 20;49(27):5133-42 [PMID: 20856288]
  9. Appl Opt. 2007 May 20;46(15):3007-12 [PMID: 17514251]
  10. Appl Spectrosc. 2013 May;67(5):477-90 [PMID: 23643036]
  11. Evolution. 2010 Nov;64(11):3101-13 [PMID: 20629727]
  12. Opt Express. 2005 Jul 25;13(15):5853-63 [PMID: 19498590]
  13. Proc Natl Acad Sci U S A. 2008 Dec 9;105(49):19090-5 [PMID: 19060191]
  14. Am J Trop Med Hyg. 2009 Oct;81(4):622-30 [PMID: 19815877]
  15. Med Vet Entomol. 1996 Apr;10(2):185-6 [PMID: 8744713]
  16. Proc Natl Acad Sci U S A. 2012 Sep 11;109(37):14924-9 [PMID: 22927392]

MeSH Term

Animals
Atmosphere
Biomechanical Phenomena
Flight, Animal
Insect Control
Insect Vectors
Insecta
Lasers
Remote Sensing Technology
Wings, Animal

Word Cloud

Created with Highcharts 10.0.0pestsparameterizedsphericalatmospherefaunaallowpotentialcanspeciesdiseasevectorssetharmonicsscatterpresentedrecentyearsfieldremotesensingbirdsinsectsaerialadvancedconsiderablymodernelectro-opticmethodsnowassessmentabundancefluxesbeneficialslandscapescaletechniquessignificantlyincreaseunderstandingabilityquantifymanageecologicalenvironmentpaperpresentsconceptwherebylaserradarobservationsatmospherictablevaluesabsolutecrosssectionscataloguedstudyfocalWing-beatoscillationsdiscretefunctionreducedsymmetricalfirstordermodelinsectsupportedexperimentallyshowingangulardependencewingbeatharmoniccontentmethodpromisesgiveinsightsflightheadingdirectionsshedlightontokm-rangespreadTowardsQuantitativeOpticalCrossSectionsEntomologicalLaserRadar-PotentialTemporalSphericalParameterizationsIdentifyingAtmosphericFauna

Similar Articles

Cited By