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12 November 2020 Modeling Ecological Dynamics of a Major Agricultural Pest Insect (Melanoplus sanguinipes; Orthoptera: Acrididae): A Cohort-Based Approach Incorporating the Effects of Weather on Grasshopper Development and Abundance
Owen Olfert, Ross M. Weiss, David Giffen, Meghan A. Vankosky
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Abstract

Grasshoppers have been a chronic problem for agriculture on the Canadian prairies, the northern limits of the Northern Great Plains, since settlement of the region in the mid-1800s. Grasshopper pest management tools include biological control, cultural control, and insecticides. This article describes a mechanistic, or process-based, modeling approach used to assess the development and abundance of the migratory grasshopper, Melanoplus sanguinipes (Fabricius), based on a complex of environmental drivers. The purpose of the study was to develop and validate a model (using extensive field data) to quantify the effects of interannual weather variation on M. sanguinipes development and abundance in Saskatchewan, Canada. Overall, the accuracy of model predictions improved for later instars and adults such that predictions regarding adult populations were highly similar to field-collected data. The model provides greater understanding of how M. sanguinipes oviposition is related not only to adult densities, but also to the first appearance of adults and to weather conditions during the oviposition period. The model output can be used to provide accurate within-season updates of the status of grasshopper populations in western Canada to optimize pest management.

© Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada, 2020.
Owen Olfert, Ross M. Weiss, David Giffen, and Meghan A. Vankosky "Modeling Ecological Dynamics of a Major Agricultural Pest Insect (Melanoplus sanguinipes; Orthoptera: Acrididae): A Cohort-Based Approach Incorporating the Effects of Weather on Grasshopper Development and Abundance," Journal of Economic Entomology 114(1), 122-130, (12 November 2020). https://doi.org/10.1093/jee/toaa254
Received: 9 April 2020; Accepted: 5 October 2020; Published: 12 November 2020
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KEYWORDS
Canada
DYMEX
grasshopper
mechanistic modeling
phenology
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