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An Investigation by Fourier Analysis into the Interaction Between Coffee Leaf-Miners and their Larval Parasites

Authors: M. Bigger;

An Investigation by Fourier Analysis into the Interaction Between Coffee Leaf-Miners and their Larval Parasites

Abstract

In shaded, unsprayed arabica coffee on Kilimangaro, fluctuations of numbers of the leafminers Leucoptera meyricki Ghesq. and L. cafeina Washb. (Lepidoptera: Lyonetiidae) follow a fairly regular seasonal cycle. Analysing the daily catches of adult moths taken in a suction trap, Bigger & Tapley (1969) have shown that the curve of numbers per generation plotted against time is cyclical, a basic period of 1 year being overlain by a 2-year cycle. This results in a deeper or shallower trough in alternate years and with L. caffeina a deep trough is followed by a low peak followed by a shallow trough followed by a high peak. With L. meyricki, which is now the dominant leaf-miner species, the peaks do not alternate regularly. Bigger & Tapley (1969) also showed that if linear regression lines were fitted to the periods of increase and decrease, the slopes of the lines (on a logarithmic scale) were highly correlated with the size of the generation at the base of the preceeding trough. If the trough was deep, the rate of increase was high and the subsequent rate of decrease low; if the trough was shallow then the rate of increase was slower and the subsequent rate of decrease faster. It was postulated that the regulatory mechanism must be relatively simple to give such regular fluctuations and that parasites were probably the main factor involved. In this paper the interactions of the two host species and their complex of larval parasites is considered.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
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