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Landscape composition and configuration affect the abundance of the olive moth (Prays oleae, Bernard) in olive groves

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Villa, María and Santos, Sonia A.P. and Sousa, José Paulo and Ferreira, Alberto and Martins da Silva, Pedro and Patanita, Isabel and Ortega Quero, Marta and Pascual, Susana and Pereira, José Alberto (2020) Landscape composition and configuration affect the abundance of the olive moth (Prays oleae, Bernard) in olive groves. Agriculture, ecosystems and environment, 294 (106854). pp. 1-8. ISSN 0167-8809

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Official URL: https://www.sciencedirect.com/science/article/pii/S0167880920300396



Abstract

Landscape and crop management are important concepts for conservation biological control as they can influence the abundance of natural enemies. In this work we accomplished a multi-scale study focused on the effect of landscape structure and crop management on the olive moth, Prays oleae (Bernard), an important pest of the olive tree (Olea europaea L.). The olive moth was collected in different olive groves managed under organic farming and integrated production and surrounded by different landscape structures. Generalized additive mixed models were used to analyze the response of the pest to (i) landscape composition and configuration indices, (ii) the management system and (iii) pesticides applications at different scales. Results indicated that the landscape composition, through the effect of the Simpson’s diversity index, negatively influenced P. oleae abundance and that the effect was evident at larger scales. Also, the landscape configuration negatively affected P. oleae at larger scales. However, neither the crop management system nor the pesticide applications affected P. oleae abundance. This study emphasizes that the preservation or implementation of diverse and complex landscapes can contribute to maintain lower population levels of P. oleae when compared with homogenous landscape areas.


Item Type:Article
Uncontrolled Keywords:Conservation biological control Multi scale analysis Crop management; Perennial crops; Generalized additive mixed models
Subjects:Medical sciences > Biology > Ecology
Medical sciences > Biology > Insects
ID Code:62268
Deposited On:24 Sep 2020 08:25
Last Modified:24 Sep 2020 08:25

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