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Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid

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...

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Autores principales: Pellissier, Makenzie E, Rand, Tatyana A, Murphy, Melanie A, Jabbour, Randa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585371/
https://www.ncbi.nlm.nih.gov/pubmed/35980374
http://dx.doi.org/10.1093/ee/nvac057
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author Pellissier, Makenzie E
Rand, Tatyana A
Murphy, Melanie A
Jabbour, Randa
author_facet Pellissier, Makenzie E
Rand, Tatyana A
Murphy, Melanie A
Jabbour, Randa
author_sort Pellissier, Makenzie E
collection PubMed
description 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.
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spelling pubmed-95853712022-10-24 Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid Pellissier, Makenzie E Rand, Tatyana A Murphy, Melanie A Jabbour, Randa Environ Entomol Biological Control - Parasitoids and Predators 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. Oxford University Press 2022-08-18 /pmc/articles/PMC9585371/ /pubmed/35980374 http://dx.doi.org/10.1093/ee/nvac057 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Entomological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Biological Control - Parasitoids and Predators
Pellissier, Makenzie E
Rand, Tatyana A
Murphy, Melanie A
Jabbour, Randa
Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid
title Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid
title_full Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid
title_fullStr Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid
title_full_unstemmed Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid
title_short Landscape Composition and Management History Affect Alfalfa Weevil but not its Parasitoid
title_sort landscape composition and management history affect alfalfa weevil but not its parasitoid
topic Biological Control - Parasitoids and Predators
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585371/
https://www.ncbi.nlm.nih.gov/pubmed/35980374
http://dx.doi.org/10.1093/ee/nvac057
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