Optimal spatial control of biological invasions

Epanchin‐Niell, Rebecca S.; Wilen, James E.

doi:10.1016/j.jeem.2011.10.003

Cited by 132 publications

(94 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chades et al (2011);Epanchin-Niell and Wilen (2012); Chalak et al (2016) and Costello et al (2017). Many papers also focus on optimal surveillance and detection strategies to limit the spread of a single invasive species with papers including Hauser and McCarthy (2009);McCarthy et al (2008); Epanchin-Niell et al (2014) and Holden et al (2016).…”

Section: Related Literature On Species Prioritizationmentioning

confidence: 99%

A Cost–Benefit Approach for Prioritizing Invasive Species

Courtois

Figuières

Mulier

et al. 2018

Ecological Economics

View full text Add to dashboard Cite

Biological invasions entail massive biodiversity losses and tremendous economic impacts that justify significant management efforts. Because the funds available to control biological invasions are limited, there is a need to identify priority species. This paper first review current invasive species prioritization methods and explicitly highlights their pitfalls. We then construct a cost-benefit optimization framework that incorporates species utility, ecological value, distinctiveness, and species interactions. This framework offers the theoretical foundations of a simple and operational method for the management of invasive species under a limited budget constraint. It takes the form of an algorithm for the prioritization of multiple biological invasions.

show abstract

Section: Related Literature On Species Prioritizationmentioning

confidence: 99%

A Cost–Benefit Approach for Prioritizing Invasive Species

Courtois

Figuières

Mulier

et al. 2018

Ecological Economics

View full text Add to dashboard Cite

show abstract

“…This can be addressed by trading off the number of patches against the number of different values which the invasive population in a given patch can take (i.e., the number of elements in the vector Q). If the system in question cannot be accurately modelled within reasonable computation time, then more advanced and efficient computational approaches, such as constraint integer programming (Achterberg, 2009, as in Epanchin-Niell andWilen, 2012) could be employed.…”

Section: Discussionmentioning

confidence: 99%

“…These include Huffaker et al (1992), Albers et al (2010), Sanchirico et al (2010), Zhang et al (2010), Carrasco et al (2012), McDermott et al (2013), Fenichel et al (2014) and Kovacs et al (2014). The literature considering single jurisdictions consisting of multiple spatial areas has the shortcoming that it either does not allow for varying stock sizes within areas (i.e., areas are modelled in binary terms: either invaded or not invaded) or restricts removal of invasions in a given area to complete eradiction only (Carrasco et al, 2010a;Finnoff et al, 2010;Epanchin-Niell and Wilen, 2012;. Restricting removal of the invasive population to complete eradication only is particularly problematic in the marine context because marine invasions can very rarely be eradicated (Vitousek et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Invasive species control in a one-dimensional metapopulation network

Walker

Poos

Groeneveld

2015

Ecological Modelling

View full text Add to dashboard Cite

“…Management questions that aim to identify the level (or timing) of investments that will best achieve the management objective require optimization approaches. Specific objectives can include choosing the level of treatment to minimize the sum of costs of treatment and damages from the invader (Olson and Roy 2002;Eiswerth and Johnson 2002;Finnoff et al 2010b;Epanchin-Niell and Wilen 2012) or to maximize the flow of future benefits from control efforts minus the costs of management (Polasky 2010). Similarly, a private timber producer might choose how much to control an invasion or when to harvest timber threatened by invasion in order to maximize long-term profits (Aadland et al 2015).…”

Section: Overview Of Economic Concepts Applied To Invasive Species Mamentioning

confidence: 99%

Economics of invasive species policy and management

Epanchin‐Niell

2017

Biol Invasions

Self Cite

163

View full text Add to dashboard Cite

This article examines the use of economic analysis to inform bioinvasion management, with particular focus on forest resources. Economics is key for understanding invasion processes, impacts, and decision-making. Biological invasions are driven by and affect economic activities at multiple scales and stages of an invasion. Bioeconomic modeling seeks to inform how resources can be optimally allocated across invasion management activities-including prevention, surveillance programs for early detection and management, and controlling invasion populations and spread-to minimize the long-term costs and damages. Economic analysis facilitates understanding of decisions by public and private decision-makers, gaps between these, and the design of policies to achieve socially desirable outcomes. Private decisionmakers may undercontrol invasions relative to socially optimal levels, because they generally account for their own costs and benefits of control but less often for broader ecosystem impacts or future spread across the landscape. Economic analysis considers approaches for increasing private invasion management and evaluates feedbacks between ecological and economic systems that can affect policy outcomes. Future research should continue evaluation and design of control strategies across the biosecurity continuum and across species to enhance cost-effectiveness, better incorporate uncertainty into policy design, increase focus on incentives and behavioral tools to influence private behaviors that affect invasion spread, and incorporate invasive species consideration within broader systems-focused science. In addition, challenges in valuing biodiversity and ecosystem service impacts and the costs and effectiveness of control measures are key data gaps. Greater collaboration between decision-makers and researchers will facilitate development and communication of usable economic research.

show abstract

Optimal spatial control of biological invasions

Cited by 132 publications

References 28 publications

A Cost–Benefit Approach for Prioritizing Invasive Species

A Cost–Benefit Approach for Prioritizing Invasive Species

Invasive species control in a one-dimensional metapopulation network

Economics of invasive species policy and management

Contact Info

Product

Resources

About