Testing insect movement theory: Empirical analysis of pest data routinely collected from agricultural cropsExport / Share PlumX View Altmetrics View AltmetricsRochester, W.A., Zalucki, M.P., Ward, A., Miles, M. and Murray, D.A.H. (2002) Testing insect movement theory: Empirical analysis of pest data routinely collected from agricultural crops. Computers and Electronics in Agriculture, 35 (2-3). pp. 139-149. ISSN 0168-1699 Full text not currently attached. Access may be available via the Publisher's website or OpenAccess link. Article Link: https://doi.org/10.1016/S0168-1699(02)00015-7 AbstractObservations of an insect's movement lead to theory on the insect's flight behaviour and the role of movement in the species’ population dynamics. This theory leads to predictions of the way the population changes in time under different conditions. If a hypothesis on movement predicts a specific change in the population, then the hypothesis can be tested against observations of population change. Routine pest monitoring of agricultural crops provides a convenient source of data for studying movement into a region and among fields within a region. Examples of the use of statistical and computational methods for testing hypotheses with such data are presented. The types of questions that can be addressed with these methods and the limitations of pest monitoring data when used for this purpose are discussed.
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