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Full-Text Articles in Forest Sciences
Nonnative Forest Insects And Pathogens In The United States: Impacts And Policy Options, Gary M. Lovett, Marissa Weiss, Andrew M. Liebhold, Thomas P. Holmes, Brian Leung, Kathy F. Lambert, David A. Orwig, Faith T. Campbell, Jonathan Rosenthal, Deborah G. Mccullough, Radka Wildova, Matthew P. Ayres
Nonnative Forest Insects And Pathogens In The United States: Impacts And Policy Options, Gary M. Lovett, Marissa Weiss, Andrew M. Liebhold, Thomas P. Holmes, Brian Leung, Kathy F. Lambert, David A. Orwig, Faith T. Campbell, Jonathan Rosenthal, Deborah G. Mccullough, Radka Wildova, Matthew P. Ayres
Dartmouth Scholarship
We review and synthesize information on invasions of nonnative forest insects and diseases in the United States, including their ecological and economic impacts, pathways of arrival, distribution within the United States, and policy options for reducing future invasions. Nonnative insects have accumulated in United States forests at a rate of ~2.5 per yr over the last 150 yr. Currently the two major pathways of introduction are importation of live plants and wood packing material such as pallets and crates. Introduced insects and diseases occur in forests and cities throughout the United States, and the problem is particularly severe in the …
Application Of Infrared And Raman Spectroscopy For The Identification Of Disease Resistant Trees, Anna O. Conrad, Pierluigi Bonello
Application Of Infrared And Raman Spectroscopy For The Identification Of Disease Resistant Trees, Anna O. Conrad, Pierluigi Bonello
Forest Health Research and Education Center Faculty Publications
New approaches for identifying disease resistant trees are needed as the incidence of diseases caused by non-native and invasive pathogens increases. These approaches must be rapid, reliable, cost-effective, and should have the potential to be adapted for high-throughput screening or phenotyping. Within the context of trees and tree diseases, we summarize vibrational spectroscopic and chemometric methods that have been used to distinguish between groups of trees which vary in disease susceptibility or other important characteristics based on chemical fingerprint data. We also provide specific examples from the literature of where these approaches have been used successfully. Finally, we discuss future …