Literature DB >> 37514

Radar-based studies of the migratory flight of grasshoppers in the middle Niger area of Mali.

J R Riley, D R Reynolds.   

Abstract

Some grasshopper species are pests of subsistence agriculture in the Sahelian zone of West Africa. Formulation of effective control strategies against these pests requires some knowledge of their migratory ability. In this paper a study is described in which radar was used to observe aspects of the nocturnal migratory behaviour of grasshoppers in the middle Niger delta. Mass take-off at dusk, layering and common orientation were regularly observed. Layering appeared to be related to air temperature. Mean orientation was often downwind but at other times crosswind headings occurred which added to the southerly component of the insects' displacement. Probable source areas of insects overflying the radar were identified by calculations of the insects' back-trajectories.

Mesh:

Year:  1979        PMID: 37514     DOI: 10.1098/rspb.1979.0013

Source DB:  PubMed          Journal:  Proc R Soc Lond B Biol Sci        ISSN: 0950-1193


  6 in total

1.  The influence of the atmospheric boundary layer on nocturnal layers of noctuids and other moths migrating over southern Britain.

Authors:  Curtis R Wood; Jason W Chapman; Donald R Reynolds; Janet F Barlow; Alan D Smith; Ian P Woiwod
Journal:  Int J Biometeorol       Date:  2006-01-24       Impact factor: 3.787

2.  An addendum to 'Songbird migration across the Sahara: the non-stop hypothesis rejected!'.

Authors:  Heiko Schmaljohann; Felix Liechti; Bruno Bruderer
Journal:  Proc Biol Sci       Date:  2007-08-07       Impact factor: 5.349

3.  Does a 'turbophoretic' effect account for layer concentrations of insects migrating in the stable night-time atmosphere?

Authors:  A M Reynolds; D R Reynolds; J R Riley
Journal:  J R Soc Interface       Date:  2009-01-06       Impact factor: 4.118

Review 4.  Sky Compass Orientation in Desert Locusts-Evidence from Field and Laboratory Studies.

Authors:  Uwe Homberg
Journal:  Front Behav Neurosci       Date:  2015-12-16       Impact factor: 3.558

5.  Identification of Migratory Insects from their Physical Features using a Decision-Tree Support Vector Machine and its Application to Radar Entomology.

Authors:  Cheng Hu; Shaoyang Kong; Rui Wang; Teng Long; Xiaowei Fu
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

6.  Quantifying flight aptitude variation in wild Anopheles gambiae in order to identify long-distance migrants.

Authors:  Roy Faiman; Alpha S Yaro; Moussa Diallo; Adama Dao; Samake Djibril; Zana L Sanogo; Margery Sullivan; Asha Krishna; Benjamin J Krajacich; Tovi Lehmann
Journal:  Malar J       Date:  2020-07-22       Impact factor: 2.979

  6 in total

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