4.6 Article

Linking risk and efficacy in biological control host-parasitoid models

Journal

BIOLOGICAL CONTROL
Volume 90, Issue -, Pages 49-60

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.biocontrol.2015.05.005

Keywords

Parasitoid; Ecological risk analysis; Indirect effects; Classical biological control; Apparent competition; Egg limitation

Funding

  1. University of Minnesota's NSF IGERT traineeship on ecological risk assessment of introduced species and genotypes
  2. Minnesota Rapid Agricultural Response Fund
  3. MnDRIVE Global Food Ventures Graduate Fellowship Program
  4. Minnesota Soybean Research and Promotion Council

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Exotic invasive arthropods present an increasing threat to native species, ecosystem function, crop production, forests, and other natural resources. Importation ('classical') biological control can be a cost-effective tactic for long-term pest management that reduces insecticide use. However, while importation of biological control agents has great potential benefits, it also entails risks to non-target native species. Therefore, candidate biological control agents are studied prior to release to predict safety. Little is known, however, about how traits affecting the safety of biological control agents may impact their efficacy in terms of reducing pest populations. We use a difference equation model to simulate a one-parasitoid two-host system and evaluate conditions under which biological control safety and efficacy interact. We vary the search efficiency and resistance to parasitism of both host species and interpret the results from the standpoint that one host is a target pest and the other a non-target species. We find that apparent competition can have important benefits for increasing biological control efficacy, even at low levels of non-target impact. However, under conditions of parasitoid egg limitation, high attack rates on resistant non-target hosts can dramatically decrease biological control efficacy while concurrently increasing non-target risk. These findings are discussed in the context of biological control agent pre-release risk benefit assessment. (C) 2015 Elsevier Inc. All rights reserved.

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