Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification

Bonneau, Mathieu; Martin, Julien; Peyrard, Nathalie; Rodgers, L.M.; Romagosa, Christina M.; Johnson, Fred A.

doi:10.1016/j.ecolmodel.2018.11.012

Cited by 19 publications

(13 citation statements)

References 34 publications

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“…Thus, when uncertainty in subpopulation abundance was high, subpopulations may have received more or fewer resources than if abundance had been observed more accurately. This allocation error resulted in decreased and more uncertain ROI, similar to Bonneau et al (2019) and Regan et al (2011) and occurred regardless of the true connectivity structure. Uncertainty in connectivity did not explain as much of the variation in ROI for different resource allocation strategies as compared to uncertainty in abundance.…”

Section: Discussionsupporting

confidence: 68%

“…In addition to structural uncertainty in the ecological and management processes that determine the true levels of abundance, the data used by managers to implement connectivity‐based management are uncertain due to observational error. Observational uncertainty in monitoring data of invader presence or abundance can make theoretically optimal strategies less effective (Chades et al 2011, Regan et al 2011, Rout et al 2014, Kling et al 2017, Bonneau et al 2019). Similarly, as the optimal resource allocation strategy depends on the relationship between invader abundance and damage costs (Yokomizo et al 2009, Davis et al 2018a), imperfect knowledge in this relationship could affect the optimal strategy.…”

Section: Introductionmentioning

confidence: 99%

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Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty

Pepin

Smyser

Davis

et al. 2020

Ecological Applications

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Populations of invasive species often spread heterogeneously across a landscape, consisting of local populations that cluster in space but are connected by dispersal. A fundamental dilemma for invasive species control is how to optimally allocate limited fiscal resources across local populations. Theoretical work based on perfect knowledge of demographic connectivity suggests that targeting local populations from which migrants originate (sources) can be optimal. However, demographic processes such as abundance and dispersal can be highly uncertain, and the relationship between local population density and damage costs (damage function) is rarely known. We used a metapopulation model to understand how budget and uncertainty in abundance, connectivity, and the damage function, together impact return on investment (ROI) for optimal control strategies. Budget, observational uncertainty, and the damage function had strong effects on the optimal resource allocation strategy. Uncertainty in dispersal probability was the least important determinant of ROI. The damage function determined which resource prioritization strategy was optimal when connectivity was symmetric but not when it was asymmetric. When connectivity was asymmetric, prioritizing source populations had a higher ROI than allocating effort equally across local populations, regardless of the damage function, but uncertainty in connectivity structure and abundance reduced ROI of the optimal prioritization strategy by 57% on average depending on the control budget. With low budgets (monthly removal rate of 6.7% of population), there was little advantage to prioritizing resources, especially when connectivity was high or symmetric, and observational uncertainty had only minor effects on ROI. Allotting funding for improved monitoring appeared to be most important when budgets were moderate (monthly removal of 13–20% of the population). Our result showed that multiple sources of observational uncertainty should be considered concurrently for optimizing ROI. Accurate estimates of connectivity direction and abundance were more important than accurate estimates of dispersal rates. Developing cost‐effective surveillance methods to reduce observational uncertainties, and quantitative frameworks for determining how resources should be spatially apportioned to multiple monitoring and control activities are important and challenging future directions for optimizing ROI for invasive species control programs.

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Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty

Pepin

Smyser

Davis

et al. 2020

Ecological Applications

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“…Every country introduced with Cichla spp. were developing taskforce to control its widespread in affected water bodies but, their actions were delivered to the entire area rather than isolating the target from the non-target species ( Epanchin-Niell and Wilen, 2012 ; Büyüktahtakın and Haight, 2018 ; Bonneau et al., 2019 ). In fact, several decisions that favoured revenue over existing biodiversity ( Meiners-Mandujano et al., 2019 ; Ramírez-Albores et al., 2019 ), were challenged by priorities ( Pelicice et al., 2014 ; Ota et al., 2019 ), work ethics, hiring schemes, conflicting interests ( Fischer et al., 2014 ; Humair et al., 2014 ; Pietrzyk-Kaszyńska and Grodzińska-Jurczak, 2015 ) divided tradition and total neglect on local knowledge ( Fischer et al., 2014 ; Humair et al., 2014 ).…”

Section: Resultsmentioning

confidence: 99%

A review on introduced Cichla spp. and emerging concerns

Sastraprawira

Razak

Shahimi

et al. 2020

Heliyon

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Peacock bass (Cichla spp.) originates from the Neotropical environments of Brazil and Venezuela but, through trade and smuggling for aquarium keeping, sport fishing and aquaculture, it is now an emerging concern. Yet, less is known for Cichla spp. distribution and its ability to invade new environments. Aimed to communicate on Cichla spp. ecology, biology and introduction schemes from Scopus, Web of Science, Google Scholar and also National Centre for Biotechnology Information, this review also contains management strategies for invading fish species. While Cichla spp. can displace native fish populations, this concern is explained using ecological functions, physiological demands, direct and secondary invasion, disease tolerance and parasite spillover. Briefly, Cichla spp. has rapid embryogenesis (72 h) and matures in short periods (11-12 months), giving it an advantage to colonize new environments. With a large appetite, this true piscivore gains territorial control over water bodies by making it their feeding and nursery grounds. Perceived as an emerging concern after becoming introduced, seal-off or sport fishing were used to manage Cichla spp. but, this practice is not sustainable for the entire ecosystem. Hence, we recommend bottom-up management that involves community participation because they interact with the fish and have knowledge about their environment.

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“…Corresponding Editor: Trenton W. J. Garner. Wilen 2012, Guillera-Arroita et al 2014, Jafari et al 2018, Bonneau et al 2019. This optimization is aimed at determining the allocation of management effort (costs, number of installed traps, labor, etc.)…”

Section: Introductionmentioning

confidence: 99%

“…Optimization of spatial resource allocation is a powerful tool for decision‐making in control programs for invasive species (Hauser and McCarthy 2009, Chadès et al 2011, Giljohann et al 2011, Epanchin‐Niell and Wilen 2012, Guillera‐Arroita et al 2014, Jafari et al 2018, Bonneau et al 2019). This optimization is aimed at determining the allocation of management effort (costs, number of installed traps, labor, etc.)…”

Section: Introductionmentioning

confidence: 99%

Spatial optimization of invasive species control informed by management practices

Nishimoto

Miyashita

Yokomizo

et al. 2021

Ecological Applications

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Optimization of spatial resource allocation is crucial for the successful control of invasive species under a limited budget but requires labor-intensive surveys to estimate population parameters. In this study, we devised a novel framework for the spatially explicit optimization of capture effort allocation using state-space population models from past capture records. We applied it to a control program for invasive snapping turtles to determine effort allocation strategies that minimize the population density over the whole area. We found that spatially heterogeneous density dependence and capture pressure limit the abundance of snapping turtles. Optimal effort allocation effectively improved the control effect, but the degree of improvement varied substantially depending on the total effort. The degree of improvement by the spatial optimization of allocation effort was only 3.21% when the total effort was maintained at the 2016 level. However, when the total effort was increased by 2, 4, and 8 times, spatial optimization resulted in improvements of 4.65%, 8.33%, and 20.35%, respectively. To achieve the management goal for snapping turtles in our study area, increasing the current total effort by more than 4 times was necessary, in addition to optimizing the spatial effort. The snapping turtle population is expected to reach the target density one year after the optimal management strategy is implemented, and this rapid response can be explained by high population growth rate coupled with density-dependent feedback regulation. Our results demonstrated that combining a state-space model with optimization makes it possible to adaptively improve the management of invasive species and decision-making. The method used in this study, based on removal records from an invasive management program, can be easily applied to monitoring data for wildlife and pest control management using traps in a variety of ecosystems.

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Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification

Cited by 19 publications

References 34 publications

Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty

Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty

A review on introduced Cichla spp. and emerging concerns

Spatial optimization of invasive species control informed by management practices

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