Anders uses geospatial analytics to understand how crop production patterns affect insect pest populations. He applies spatio-temporal models to understand how agricultural pests respond to agroecosystem structure and whether this knowledge can be leveraged to reduce pesticide use. Results of his research defines crop infestation risk and damage mitigation strategies for crops in North Carolina. Other interests include pesticide resistance evolution, predator-prey interactions within managed landscapes and remote sensing for agriculture.

Roles

• Fellows

Publications

• Computer vision for detecting field-evolved lepidopteran resistance to Bt maize (2021)
• Current Distribution and Population Persistence of Five Lepidopteran Pests in US Soybean (2021)
• Impact of foliar insecticide sprays on Melanaphis sacchari (Hemiptera: Aphididae) and natural enemy populations in grain sorghum (2021)
• Landscape-level variation in Bt crops predict Helicoverpa zea (Lepidoptera: Noctuidae) resistance in cotton agroecosystems (2021)
• Local and landscape scale drivers of Euschistus servus and Lygus lineolaris in North Carolina small grain agroecosystems (2021)
• Targeted RNA sequencing reveals differential patterns of transcript expression in geographically discrete, insecticide resistant populations of Leptinotarsa decemlineata (2021)
• Feeding behavior of Frankliniella fusca on seedling cotton expressing Cry51Aa2.834_16 Bt toxin (2020)
• First Report of Cotton Leafroll Dwarf Virus in Cotton Plants Affected by Cotton Leafroll Dwarf Disease in North Carolina (2020)
• Frankliniella fusca and Frankliniella occidentalis response to thrips-active Cry51Aa2.834_16 Bt cotton with and without neonicotinoid seed treatment (2020)
• Landscape and climatic effects driving spatiotemporal abundance of Lygus lineolaris (Hemiptera: Miridae) in cotton agroecosystems (2020)

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