Optimizing surveillance and management of emerald ash borer in urban environments
| Autor: | Robert G. Haight, I. Esra Büyüktahtakın, Denys Yemshanov, Sabah Bushaj |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
education.field_of_study
biology Agroforestry 0208 environmental biotechnology Population Outbreak 02 engineering and technology 010501 environmental sciences Environmental Science (miscellaneous) biology.organism_classification 01 natural sciences 020801 environmental engineering Geography Emerald ash borer Modeling and Simulation Biological dispersal education Urban environment 0105 earth and related environmental sciences |
| Zdroj: | Natural Resource Modeling. 34 |
| ISSN: | 1939-7445 0890-8575 |
| DOI: | 10.1111/nrm.12267 |
| Popis: | Emerald ash borer (EAB), a wood‐boring insect native to Asia, was discovered near Detroit in 2002 and has spread and killed millions of ash trees throughout the eastern United States and Canada. EAB causes severe damage in urban areas where it kills highvalue ash trees that shade streets, homes, and parks and costs homeowners and local governments millions of dollars for treatment, removal, and replacement of infested trees. We present a multistage, stochastic, mixed‐integer programming model to help decision‐makers maximize the public benefits of preserving healthy ash trees in an urban environment. The model allocates resources to surveillance of the ash population and subsequent treatment and removal of infested trees over time. We explore the multistage dynamics of an EAB outbreak with a dispersal mechanism and apply the optimization model to explore surveillance, treatment, and removal options to manage an EAB outbreak in Winnipeg, a city of Manitoba, Canada. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|