A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Landscape composition and configuration affect the abundance of the olive moth (Prays oleae, Bernard) in olive groves
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. ; The authors are grateful to the Portuguese Foundation of Science and Technology (FCT, Portugal) for financial support through the projects EXCL/AGR-PRO/0591/2012 “Olive crop protection in sustainable production under global climatic changes: linking ecological infrastructures to ecosystem functions” and PTDC/ASP-PLA/30003/ 2017 – “OLIVESIM - Managing ecosystem services in olive groves using advanced landscape agent-based models” and CIMO (UIDB/00690/ 2020). María Villa also thanks to Portuguese Foundation of Science and Technology for the Postdoctoral fellowship SFRH/BPD/119487/2016. The authors would like to thank to the farmers for allowing the access to their olive groves. ; info:eu-repo/semantics/publishedVersion
Landscape composition and configuration affect the abundance of the olive moth (Prays oleae, Bernard) in olive groves
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. ; The authors are grateful to the Portuguese Foundation of Science and Technology (FCT, Portugal) for financial support through the projects EXCL/AGR-PRO/0591/2012 “Olive crop protection in sustainable production under global climatic changes: linking ecological infrastructures to ecosystem functions” and PTDC/ASP-PLA/30003/ 2017 – “OLIVESIM - Managing ecosystem services in olive groves using advanced landscape agent-based models” and CIMO (UIDB/00690/ 2020). María Villa also thanks to Portuguese Foundation of Science and Technology for the Postdoctoral fellowship SFRH/BPD/119487/2016. The authors would like to thank to the farmers for allowing the access to their olive groves. ; info:eu-repo/semantics/publishedVersion
Landscape composition and configuration affect the abundance of the olive moth (Prays oleae, Bernard) in olive groves
Villa, Maria (author) / Santos, Sónia A.P. (author) / Sousa, José Paulo (author) / Ferreira, Alberto (author) / Silva, Pedro Martins da (author) / Patanita, M. Isabel (author) / Ortega, Marta (author) / Pascual, Susana (author) / Pereira, J.A. (author)
2020-01-01
doi:10.1016/j.agee.2020.106854
Article (Journal)
Electronic Resource
English
DDC:
710