Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid. Issue 5 (18th August 2022)

• Record Type: Journal Article
• Authors: Pellissier, Makenzie E; Rand, Tatyana A; Murphy, Melanie A; Jabbour, Randa
• Editors: Hurley, Brett
• Is Part Of: Environmental entomology. Volume 51:Issue 5(2022)
• Page Start: 892
• Page End: 900
• Publication Date: 2022-08-18
• Subjects: alfalfa weevil -- Hypera postica -- Bathyplectes curculionis -- conservation biological control -- landscape configuration; Beneficial insects -- Periodicals; Beneficial insects -- United States -- Periodicals; Insect pests -- Control -- Periodicals; Entomology -- Periodicals; 632.7
• DOI: 10.1093/ee/nvac057
• Languages: English
• ISSNs: 0046-225X

Abstract

Abstract: It is widely recognized that both local and landscape-scale factors can be important drivers of crop pests, natural enemies, and biocontrol services. However, recent syntheses have found that landscape effects are inconsistent across study systems, highlighting the need for system-specific research to guide management decisions. In particular, studies conducted in perennial crops and that examine landscape configuration, not just composition, are especially lacking. We studied the impact of local and landscape factors on alfalfa weevil Hypera postica and its parasitoid Bathyplectes curculionis . Although classical biological control efforts have largely suppressed H. postica in the eastern United States, it remains problematic in the western United States. We sampled 20 production alfalfa fields in southeastern Wyoming to estimate H. postica density, parasitism rates by B. curculionis, and vegetation at local scales. We used remotely sensed imagery to characterize both landscape composition and configuration surrounding each sampled field. We used a hypothesis-driven modeling approach to determine which model was most predictive of H. postica and parasitism rate by B. curculionis. Landscape composition was the best model to predict H. postica densities. Host density was the best predictor of parasitism rates by B. curculionis . Production fields that had received insecticide applications in the last 5 years had higher weevil densities than fields that had not received insecticide applications. Stand age was not associated with weevil density or parasitism rate. In conclusion, we found local, landscape, and management components to be important in this system.