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Tools for staging and managing the emerald ash borer in an urban forest

Clifford S. Sadof

Published 2016 in 2016 International Congress of Entomology

ABSTRACT

. Advances in control can help municipal foresters save ash trees from emerald ash borer (EAB) [ Agrilus planipennis (Fair-maire)] in urban forests. Although ash trees of any size can be protected from this pest, cities often do not implement programs because they fail to recognize and act on incipient populations of EAB. In this study, researchers develop a model for predicting ash mortality over an eight-year period, and validated with data from the removal of >14,000 ash trees killed by EAB in Fort Wayne, Indiana, U.S. researchers then developed a sampling scheme to help foresters map their ash trees along the expected progression of ash decline. This model was then used to modify a web-based EAB cost calculator that compares discounted annual and cumulative costs of implementing a variety of management strategies. It was determined that strategies that most heavily relied on saving ash trees were less expensive and produced a larger forest than those strategies that mostly removed and replaced ash trees. Ratios of total discounted costs to discounted cumulative benefits of strategies that saved most ash trees were over two-thirds lower than strategies of proactive tree removal and replacement. Delaying implementation of an ash management program until damage would be visible and more obvious to the community (Year 5 of the model) decreased the cost–benefit ratio by <5%. Thus, delays that rely on the abun-dance of locally damaged trees to bolster community support do not necessarily diminish the utility of implementing a control strategy.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    2016 International Congress of Entomology

  • Publication date

    Unknown publication date

  • Fields of study

    Geography, Environmental Science

  • Identifiers
    DOI 10.1603/ICE.2016.111745
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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