Modelling the tri-trophic population dynamics of a host crop ( Triticum aestivum ; Poaceae), a major pest insect ( Sitodiplosis mosellana ; Diptera: Cecidomyiidae), and a parasitoid of the pest species ( Macroglenes penetrans ; Hymenoptera: Pteromalidae): a cohort-based approach incorporating the effects of weather

This paper describes a tri-trophic analysis of the ecological dynamics of a crop, an insect pest, and a natural enemy of the insect pest. Worldwide wheat ( Triticum Linnaeus) (Poaceae) production in 2018–2019 was estimated at over 700 million metric tons in 2018–2019. Wheat midge, Sitodiplosis mosel...

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Bibliographic Details
Published in:Canadian entomologist 2020-06, Vol.152 (3), p.311-329
Main Authors: Olfert, O., Weiss, R.M., Vankosky, M., Hartley, S., Doane, J.F.
Format: Article
Language:English
Subjects:
Age
Atmospheric models
Cecidomyiidae
Climate change
Cohort analysis
Cohorts
Computer simulation
Crop production
Diptera
Dynamics
Entomology
Evaluation
Growing season
Humidity
Hymenoptera
Insects
Life cycles
Management decisions
Parasitoids
Pest control
Pests
Phenology
Physiology
Poaceae
Population
Population dynamics
Precipitation
Pteromalidae
Rain
Seasons
Simulation
Sitodiplosis mosellana
Software
Surveying
Variables
Weather
Wheat
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Summary:This paper describes a tri-trophic analysis of the ecological dynamics of a crop, an insect pest, and a natural enemy of the insect pest. Worldwide wheat ( Triticum Linnaeus) (Poaceae) production in 2018–2019 was estimated at over 700 million metric tons in 2018–2019. Wheat midge, Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae), a serious insect pest of wheat, is widely distributed in many parts of the world where wheat production occurs. Macroglenes penetrans (Kirby) (Hymenoptera: Pteromalidae), a parasitoid of S. mosellana , has successfully established in most wheat midge-infested areas. Mechanistic, or process-based, population models were used in this study to assess the interactive population dynamics of the three species, based on their respective life cycles and meteorological factors. The models were validated with survey data from multiple sites over numerous years (1991–2016). These simulation models helped to detail our understanding of the tri-trophic population dynamics and will help guide pest management decisions both prior to the growing season and until wheat heading, when wheat is no longer susceptible to S. mosellana . The associated models also help identify gaps in system knowledge, provide a foundation for evaluating future innovative management options, and evaluate the potential impact of a changing climate.
ISSN:0008-347X
1918-3240
DOI:10.4039/tce.2020.17