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CEUs are available for this product.

Expanding a Hurricane Wind Resistance Rating System for Tree Species Using Machine Learning CEU Quiz

By Allyson B. Salisbury, PhD, Andrew K. Koeser, PhD, Michael G. Andreu, PhD, Yujuan Chen, PhD, Zachary Freeman, Jason W. Miesbauer, PhD, Adriana Herrera-Montes, PhD, Chai-Shian Kua, PhD, Ryo Higashiguchi
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Arboriculture & Urban Forestry quizzes are available free online to members for one year after the date of publication; a maximum of six quizzes are available at any time. CEU quizzes for older articles may be purchased by both members and non-members.

Hurricanes and other wind events are significant disturbances that affect coastal urban forests around the world. Past research has led to the creation of wind resistance ratings for different tree species, which can be used in urban forest management efforts to mitigate the effects of these storms. While useful, these ratings have been limited to species common to urban forestry in Florida, USA. Drawing on past ratings and data from a global literature review on tropical storm research, we created a machine learning model to broaden both the geographic coverage and the variety of species currently assessed for their resistance to wind. 1 CEU (A, U, M, T, Bm)

ISA's scientific journal Arboriculture & Urban Forestry (AUF) helps disseminate new research findings about the management of trees in urban environments. This quiz highlights an article from an issue of AUF with the objective of bridging the gap between scientific research and practical application. Learn about the latest arboricultural research happening around the world while also earning your CEUs.

CEUs for this quiz may be earned only once during the life of your certification.


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