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Desert locust forecasting manual (Volume 1 of 2)

Desert locust forecasting manual (Volume 1 of 2)

Pedgley, D. (ed.) (1981) Desert locust forecasting manual (Volume 1 of 2). Centre for Overseas Pest Research, London, UK. ISBN 0-85135-121-2

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This Manual draws upon the many years of locust forecasting experience among staff at the Centre for Overseas Pest Research, London. it deals mainly with problems of forecasting during plagues (when most locusts are in bands and swarms), but there is much that is applicable to recessions (when there are few, if any, bands and swarms, and crop damage is slight), provided the differences in behaviour of the two kinds of populations are borne in mind. Users of this Manual will be mainly forecasters in national or regional authorities concerned with locust control. In addition, it is hoped that the principles described and explained here can be used and adapted by economic entomologists concerned with warning and control services for other migrant insect pests. Moreover, all those in universities and other centres of education who are interested in long-range migration by insects should find food for thought.

Item Type: Edited Book
Additional Information: [1] Seventeen staff members of the Centre for Overseas Pest Research were involved, at various stages, in the planning, writing, drawing, compiling, and editing of this Manual. Planning was first under the leadership of L. Bennett, and later of J. Roffey, but from 1977 the work was directed by David E. Pedgley, who compiled and edited the Manual.
Uncontrolled Keywords: desert, locust, forecasting, pest, migration, emigration, breeding, swarms, bands, plague, maps, incidence, Schistocerca gregaria
Subjects: S Agriculture > S Agriculture (General)
S Agriculture > SB Plant culture
Faculty / Department / Research Group: Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
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Last Modified: 11 Dec 2019 16:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
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Selected for GREAT 2019: None
Selected for REF2021: None

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