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Errors associated with estimating parasitism using a modified version of Southwood's graphical method
Authors:E Groden  F A Drummond  R A Casagrande  D L Haynes
Institution:(1) Department of Entomology, University of Maine, 04469 Orono, ME, USA;(2) Department of Plant Sciences, University of Rhode Island, 02881 Kingston, RI, USA;(3) Department of Entomology, Michigan State University, 48824-1115 East Lansing, MI, USA
Abstract:A simulation model is used to examine the errors in estimating parasitized and nonparasitized host densities independently with Southwood's graphical technique. This technique is accurate when parasitoid attack occurs prior to the sampling period (e.g. the previous life stage of the host). When this is not the case, the parasitized host density is estimated accurately, but the unparasitized host density is over estimated by those individuals that are sampled as healthy prior to attack. This error is neglible at low levels of parasitism (<20% parasitized), but increases with increasing parasitism. Of the biological parameters tested, only the parasitoid attack pattern (shape of the parasitoid attack curve) has a significant influence on the magnitude of this error. A generalized simulation model is presented for evaluating errors in estimates of seasonal parasitism for specific host-parasitoid interactions. University of Rhode Island, Agricultural Experiment Station Journal, Article Number 2479.
Keywords:Southwood's method  estimation  parasitism  sampling
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