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Niche Modeling May Explain the Historical Population Failure of Phytoseiulus persimilis in Taiwan: Implications of Biocontrol Strategies.
Liao, Jhih-Rong; Ho, Chyi-Chen; Chiu, Ming-Chih; Ko, Chiung-Cheng.
Afiliação
  • Liao JR; Department of Entomology, National Taiwan University, Taipei 106332, Taiwan.
  • Ho CC; Taiwan Acari Research Laboratory, Taichung 413006, Taiwan.
  • Chiu MC; Center for Marine Environmental Studies (CMES), Ehime University, Matsuyama 7908577, Japan.
  • Ko CC; Department of Entomology, National Taiwan University, Taipei 106332, Taiwan.
Insects ; 12(5)2021 May 06.
Article em En | MEDLINE | ID: mdl-34066525
ABSTRACT
Biological control commonly involves the commercialization and introduction of natural enemies. Phytoseiulus persimilis Athias-Henriot, a mite species widely used in the control of spider mites, was imported to Taiwan in the 1990s and was mass-reared and released into the field. However, none have been observed in comprehensive surveys of phytoseiid mites for over 30 years. In this study, the distribution of P. persimilis in Taiwan was predicted, and environmental variables that affect its distribution were analyzed. The mountainous region of southcentral Taiwan was determined to be suitable for the establishment of this species, whereas the four sites at which it was released in the 1990s, particularly those in southwestern Taiwan, exhibited low suitability. Notably, the minimum temperature of the coldest month was identified as a crucial limiting factor affecting the distribution of P. persimilis, indicating that a Mediterranean climate is more suitable for this species. To the best of our knowledge, this study is the first to predict the suitable distribution of exotic predatory mites in a biological control program. The present findings serve as a pivotal assessment framework for the commercialization and foreign introduction of natural enemies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article