Allocating surveillance effort in the management of invasive species: A spatially-explicit model

Cacho, Oscar J.; Spring, Daniel; Hester, Susan M.; Nally, Ralph Mac

doi:10.1016/j.envsoft.2009.10.014

Cited by 79 publications

(70 citation statements)

References 27 publications

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“…Additional studies have used population-dynamic models to explicitly link survey and management programs and show how surveys can be further optimized for particular management objectives (Mehta et al 2007, Cacho et al 2010, McCarthy et al 2010, Wallinga et al 2010, Emry et al 2011, Giljohann et al 2011, Homans and Horie 2011, Epanchin-Niell et al 2012, Horie et al 2013). For example, McCarthy et al (2010) showed how, for the control of H5N1 influenza, the optimal distribution of sampling resources depended on what percentage reduction in incidence was attempted.…”

Section: Discussionmentioning

confidence: 99%

A generic risk‐based surveying method for invading plant pathogens

Parnell

Gottwald

Riley

et al. 2014

Ecological Applications

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Abstract. Invasive plant pathogens are increasing with international trade and travel, with damaging environmental and economic consequences. Recent examples include tree diseases such as sudden oak death in the Western United States and ash dieback in Europe. To control an invading pathogen it is crucial that newly infected sites are quickly detected so that measures can be implemented to control the epidemic. However, since sampling resources are often limited, not all locations can be inspected and locations must be prioritized for surveying. Existing approaches to achieve this are often species specific and rely on detailed data collection and parameterization, which is difficult, especially when new arrivals are unanticipated. Consequently regulatory sampling responses are often ad hoc and developed without due consideration of epidemiology, leading to the suboptimal deployment of expensive sampling resources. We introduce a flexible risk-based sampling method that is pathogen generic and enables available information to be utilized to develop epidemiologically informed sampling programs for virtually any biologically relevant plant pathogen. By targeting risk we aim to inform sampling schemes that identify high-impact locations that can be subsequently treated in order to reduce inoculum in the landscape. This ''damage limitation'' is often the initial management objective following the first discovery of a new invader. Risk at each location is determined by the product of the basic reproductive number (R 0 ), as a measure of local epidemic size, and the probability of infection. We illustrate how the risk estimates can be used to prioritize a survey by weighting a random sample so that the highest-risk locations have the highest probability of selection. We demonstrate and test the method using a high-quality spatially and temporally resolved data set on Huanglongbing disease (HLB) in Florida, USA. We show that even when available epidemiological information is relatively minimal, the method has strong predictive value and can result in highly effective targeted surveying plans.

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Section: Discussionmentioning

confidence: 99%

A generic risk‐based surveying method for invading plant pathogens

Parnell

Gottwald

Riley

et al. 2014

Ecological Applications

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“…Several studies account for uncertainty when investigating the optimal choice of prevention, control, and adaptation [24,48,[64][65][66][67][68][69][70][71][72]. In principle, these studies address similar questions as those presented in Section 3, i.e., the optimal combination of prevention, control and adaptation policies, but add the dimension of risk.…”

Section: Management Under Uncertaintymentioning

confidence: 99%

Economics of Harmful Invasive Species: A Review

2014

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Abstract:The purpose of this study is to review theoretical and empirical findings in economics with respect to the challenging question of how to manage invasive species. The review revealed a relatively large body of literature on the assessment of damage costs of invasive species; single species and groups of species at different geographical scales. However, the estimated damage costs show large variation, from less than 1 million USD to costs corresponding to 12% of gross domestic product, depending on the methods employed, geographical scale, and scope with respect to inclusion of different species. Decisions regarding optimal management strategies, when to act in the invasion chain and which policy to choose, have received much less attention in earlier years, but have been subject to increasing research during the last decade. More difficult, but also more relevant policy issues have been raised, which concern the targeting in time and space of strategies under conditions of uncertainty. In particular, the weighting of costs and benefits from early detection and mitigation against the uncertain avoidance of damage with later control, when the precision in targeting species is typically greater is identified as a key challenge. The role of improved monitoring for detecting species and their spread and damage has been emphasized, but questions remain on how to achieve this in practice. This is in contrast to the relatively large body of literature on policies for mitigating dispersal by trade, which is regarded as one of the most important vectors for the spread of invasive species. On the other hand, the literature on how to mitigate established species, by control or adaptation, is much more scant. Studies evaluating causes for success or failure of policies against invasive in practice are in principal non-existing. OPEN ACCESSDiversity 2014, 6 501

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“…This has been incorporated into some optimal surveillance work by simply assuming that a population of an established pest will be detected after some time period on the landscape if not detected by a trap (Epanchin-Niell et al 2014). However, Cacho and Hester (2011) and Cacho et al (2010) have explicitly evaluated the importance of passive surveillance in weed detection and eradication efforts and have shown how this can greatly reduce program costs.…”

Section: Early Detection and Monitoring Surveillancementioning

confidence: 99%

Economics of invasive species policy and management

Epanchin‐Niell

2017

Biol Invasions

163

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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.

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Allocating surveillance effort in the management of invasive species: A spatially-explicit model

Cited by 79 publications

References 27 publications

A generic risk‐based surveying method for invading plant pathogens

A generic risk‐based surveying method for invading plant pathogens

Economics of Harmful Invasive Species: A Review

Economics of invasive species policy and management

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