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Network Modeling for Post-Entry Management of Invasive Pest Species in the Philippines: The Case of the Colorado Potato Beetle, Leptinotarsa decemlineata (Say, 1824) (Coleoptera: Chrysomelidae).
Almarinez, Billy Joel M; Amalin, Divina M; Aviso, Kathleen B; Cabezas, Heriberto; Lao, Angelyn R; Tan, Raymond R.
Afiliação
  • Almarinez BJM; Department of Biology, De La Salle University, Manila 0922, Philippines.
  • Amalin DM; Department of Biology, De La Salle University, Manila 0922, Philippines.
  • Aviso KB; Department of Chemical Engineering, De La Salle University, Manila 0922, Philippines.
  • Cabezas H; Research Institute of Applied Earth Sciences, University of Miskolc, 3515 Miskolc, Hungary.
  • Lao AR; Department of Mathematics and Statistics, De La Salle University, Manila 0922, Philippines.
  • Tan RR; Department of Chemical Engineering, De La Salle University, Manila 0922, Philippines.
Insects ; 14(9)2023 Aug 29.
Article em En | MEDLINE | ID: mdl-37754699
Crop shifting is considered as an important strategy to secure future food supply in the face of climate change. However, use of this adaptation strategy needs to consider the risk posed by changes in the geographic range of pests that feed on selected crops. Failure to account for this threat can lead to disastrous results. Models can be used to give insights on how best to manage these risks. In this paper, the socioecological process graph technique is used to develop a network model of interactions among crops, invasive pests, and biological control agents. The model is applied to a prospective analysis of the potential entry of the Colorado potato beetle into the Philippines just as efforts are being made to scale up potato cultivation as a food security measure. The modeling scenarios indicate the existence of alternative viable pest control strategies based on the use of biological control agents. Insights drawn from the model can be used as the basis to ecologically engineer agricultural systems that are resistant to pests.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article