Optimizing surveillance and management of emerald ash borer in urban environments-Reference-Cited by-同舟云学术

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Optimizing surveillance and management of emerald ash borer in urban environments

Published:2020-05-21 Issue:1 Volume:34 Page:
ISSN:0890-8575
Container-title:Natural Resource Modeling
language:en
Short-container-title:Natural Resource Modeling

Author:

Bushaj Sabah¹,Büyüktahtakın İ. Esra¹^ORCID,Yemshanov Denys²^ORCID,Haight Robert G.³

Affiliation:

1. Department of Mechanical and Industrial Engineering New Jersey Institute of Technology Newark New Jersey

2. Natural Resources Canada, Canadian Forest Service Great Lakes Forestry Centre Sault Ste. Marie Ontario Canada

3. USDA Forest Service Northern Research Station Madison Wisconsin

Funder

National Science Foundation

Publisher

Wiley

Subject

Environmental Science (miscellaneous),Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nrm.12267

Reference63 articles.

1. Optimizing search strategies for invasive pests: learn before you leap

2. Introduction to Stochastic Programming

3. Hitchhiking as a secondary dispersal pathway for adult emerald ash borer, Agrilus planipennis;Buck J.;Great Lakes Entomologist,2008

4. A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa

5. A dynamic model of controlling invasive species

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1. Spread management priorities to limit emerald ash borer (Agrilus planipennis) impacts on United States street trees;Conservation Science and Practice;2024-02-16

2. A K-means Supported Reinforcement Learning Framework to Multi-dimensional Knapsack;Journal of Global Optimization;2024-02-15

3. Emerald Ash Borer Management and Research: Decades of Damage and Still Expanding;Annual Review of Entomology;2024-01-25

4. A game-theoretic approach to incentivize landowners to mitigate an emerald ash borer outbreak;IISE Transactions;2023-09-13

5. An integrative phenology and climatic suitability model for emerald ash borer;Frontiers in Insect Science;2023-08-29

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