An investigation into the use of multiple site characteristics to predict the presence and infestation level of wireworms (Agriotes spp., Coleoptera: Elateridae) in individual grass fields

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Abstract

Sixty-two grass fields were sampled in England and Wales over a three year period to assess the level of wireworm population present. Data on site-specific variables including soil physical characteristics, grass duration, grass genera diversity and other abiotic factors such as field aspect, altitude, and meteorological parameters were collected at each site. Only grass duration and soil bulk density showed any association with wireworm infestation status when considered as single variates. Data from a sub-set of 41 fields were used to develop a series of multi-variate discriminant rules to predict wireworm presence/absence in individual fields. These were validated using data from the remaining 21 fields. In general, the rules tended to over-estimate the number of wireworm-infested fields by misclassifying uninfested fields as infested. Multivariate models to predict wireworm population levels in infested fields were also developed using multiple and generalised linear regression. The predictive accuracy of these was poor. Neither the population prediction models nor the presence/absence rules accounted fully for the large inter-field variation in wireworm infestation status.

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Parker, W. E., & Seeney, F. M. (1997). An investigation into the use of multiple site characteristics to predict the presence and infestation level of wireworms (Agriotes spp., Coleoptera: Elateridae) in individual grass fields. Annals of Applied Biology, 130(3), 409–425. https://doi.org/10.1111/j.1744-7348.1997.tb07671.x

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