Can professionals gauge likelihood of failure? – Insights from tropical storm Matthew
| Autor: | E. Thomas Smiley, Ryan W. Klein, Brian Kane, Shawn M. Landry, Michael Sherwood, Richard J. Hauer, Andrew K. Koeser |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
education.field_of_study Ecology animal diseases Population Soil Science Forestry Storm 010501 environmental sciences 010603 evolutionary biology 01 natural sciences Geography Urban tree Gauge (instrument) Tropical cyclone education Risk assessment 0105 earth and related environmental sciences Demography Landfall |
| Zdroj: | Urban Forestry & Urban Greening. 52:126701 |
| ISSN: | 1618-8667 |
| DOI: | 10.1016/j.ufug.2020.126701 |
| Popis: | Visual risk assessment remains the primary means of gauging urban tree safety and is a key facet of storm preparation and response. While past research has investigated the reproducibility of risk assessment methodologies (i.e., precision), few, if any, studies truly address the accuracy of current inspection practices – especially with regard to the characterization of likelihood of failure. In 2016, Hurricane Matthew made landfall in the Southeastern United States as a lower-intensity tropical storm, impacting several urban sites where tree risk assessments had been conducted in the recent past. After the storm, 2069 trees on 5 properties were revisited to assess storm damage. The vast majority (93%) of trees survived Matthew intact, with 6% of the assessed population suffering partial (i.e., branch) failure and the remaining 1% experiencing whole-tree failure. Failure rates differed by species, with age, and given the presence of external defects. The presence of dead branches (P-value |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect