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Resources 2016, 5(2), 18; doi:10.3390/resources5020018

Forest Health Management and Detection of Invasive Forest Insects

Department of Forestry, Michigan State University, 126 Natural Resources Building, East Lansing, MI 48824-1222, USA
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Academic Editor: Thomas J. Straka
Received: 9 February 2016 / Revised: 25 April 2016 / Accepted: 28 April 2016 / Published: 7 May 2016
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Abstract

The objectives of this review paper are to provide an overview of issues related to forest health and forest entomology, explain existing methods for forest insect pest detection, and provide background information on a case study of emerald ash borer. Early detection of potentially invasive insect species is a key aspect of preventing these species from causing damage. Invasion management efforts are typically more feasible and efficient if they are applied as early as possible. Two proposed approaches for detection are highlighted and include dendroentomology and near infrared spectroscopy (NIR). Dendroentomology utilizes tree ring principles to identify the years of outbreak and the dynamics of past insect herbivory on trees. NIR has been successfully used for assessing various forest health concerns (primarily hyperspectral imaging) and decay in trees. Emerald ash borer (EAB) (Agrilus planipennis), is a non-native beetle responsible for widespread mortality of several North American ash species (Fraxinus sp.). Current non-destructive methods for early detection of EAB in specific trees are limited, which restricts the effectiveness of management efforts. Ongoing research efforts are focused on developing methods for early detection of emerald ash borer. View Full-Text
Keywords: Agrilus planipennis; dendrochronology; detection; emerald ash borer; forest health; Fraxinus spp.; near-infrared spectroscopy Agrilus planipennis; dendrochronology; detection; emerald ash borer; forest health; Fraxinus spp.; near-infrared spectroscopy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Finley, K.; Chhin, S. Forest Health Management and Detection of Invasive Forest Insects. Resources 2016, 5, 18.

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