Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.ecolecon.2016.11.018 |
Robust Surveillance and Control of Invasive Species Using a Scenario Optimization Approach | |
Yemshanov, Denys1; Haight, Robert G.2; Koch, Frank H.3; Lu, Bo1; Venette, Robert4; Fournier, Ronald E.1; Turgeon, Jean J.1 | |
2017-03-01 | |
发表期刊 | ECOLOGICAL ECONOMICS
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ISSN | 0921-8009 |
EISSN | 1873-6106 |
出版年 | 2017 |
卷号 | 133 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada; USA |
英文摘要 | Uncertainty about future outcomes of invasions is a major hurdle in the planning of invasive species management programs. We present a scenario optimization model that incorporates uncertainty about the spread of an invasive species and allocates survey and eradication measures to minimize the number of infested or potentially infested host plants on the landscape. We demonstrate the approach by allocating surveys outside the quarantine area established following the discovery of the Asian longhorned beetle (ALB) in the Greater Toronto Area (GTA), Ontario, Canada. We use historical data on ALB spread to generate a set of invasion scenarios that characterizes the uncertainty of the pest's extent in the GTA. We then use these scenarios to find allocations of surveys and tree removals aimed at managing the spread of the pest in the GTA, It is optimal to spend approximately one-fifth of the budget on surveys and the rest on tree removal. Optimal solutions do not always select sites with the greatest propagule pressure, but in some cases focus on sites with moderate likelihoods of ALB arrival and low host densities. Our approach is generalizable and helps support decisions regarding control of invasive species when knowledge about a species' spread is uncertain. Crown Copyright (C) 2016 Published by Elsevier B.V. All rights reserved. |
英文关键词 | Asian longhorned beetle Uncertainty Scenario-based model Mixed integer programming Robust optimization Human-mediated spread |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000392039600009 |
WOS关键词 | ASIAN LONGHORNED BEETLE ; ANOPLOPHORA-GLABRIPENNIS COLEOPTERA ; BIOLOGICAL INVASIONS ; SPREAD RATES ; CERAMBYCIDAE ; SIMULATION ; INFESTATION ; PREVENTION ; STRATEGIES ; DISPERSAL |
WOS类目 | Ecology ; Economics ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Business & Economics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/15465 |
专题 | 资源环境科学 |
作者单位 | 1.Nat Resources Canada, Canadian Forest Serv, Great Lakes Forestry Ctr, 1219 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada; 2.US Forest Serv, USDA, 1992 Folwell Ave, St Paul, MN 55108 USA; 3.US Forest Serv, USDA, Southern Res Stn, Eastern Forest Environm Threat Assessment Ctr, 3041 Cornwallis Rd, Res Triangle Pk, NC 27709 USA; 4.US Forest Serv, USDA, Northern Res Stn, 1561 Lindig St, St Paul, MN 55108 USA |
推荐引用方式 GB/T 7714 | Yemshanov, Denys,Haight, Robert G.,Koch, Frank H.,et al. Robust Surveillance and Control of Invasive Species Using a Scenario Optimization Approach[J]. ECOLOGICAL ECONOMICS,2017,133. |
APA | Yemshanov, Denys.,Haight, Robert G..,Koch, Frank H..,Lu, Bo.,Venette, Robert.,...&Turgeon, Jean J..(2017).Robust Surveillance and Control of Invasive Species Using a Scenario Optimization Approach.ECOLOGICAL ECONOMICS,133. |
MLA | Yemshanov, Denys,et al."Robust Surveillance and Control of Invasive Species Using a Scenario Optimization Approach".ECOLOGICAL ECONOMICS 133(2017). |
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