Literature DB >> 35421182

Refuge distributions and landscape connectivity affect host-parasitoid dynamics: Motivations for biological control in agroecosystems.

Lucas D Fernandes1,2, Angelica S Mata3, Wesley A C Godoy2, Carolina Reigada4.   

Abstract

Species distributions are affected by landscape structure at different spatial scales. Here we study how the interplay between dispersal at different spatial scales and landscape connectivity and composition affect local species dynamics. Using a host-parasitoid model, we assessed host density and host occupancy on the landscape, under different parasitoid dispersal ranges and three local distributions of non-crop habitats, areas where hosts are unable to grow but parasitoids are provided with alternative hosts and food resources. Our results show distinct responses of host density to increases in non-crop area, measured by differences in slopes for different distributions of non-crop habitats, and that the effect of local landscape composition on species dynamics depends on the landscape connectivity at the regional scale. Moreover, we show how host density and occupancy are affected by increasing parasitoid dispersal ranges depending on landscape structure. Our results demonstrate the role of local and regional scales on species distributions and the importance of the combined effects of species biological parameters and landscape structure on species dynamics. Finally, we highlight the relevance of these aspects for the development of better strategies of biological control.

Entities:  

Mesh:

Year:  2022        PMID: 35421182      PMCID: PMC9009636          DOI: 10.1371/journal.pone.0267037

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


  16 in total

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Review 6.  Predicting Landscape Configuration Effects on Agricultural Pest Suppression.

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7.  Landscape structure and biological control in agroecosystems

Authors: 
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Authors:  Ricardo Perez-Alvarez; Brian A Nault; Katja Poveda
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Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

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