Economic estimates of feral swine damage and control in 11 US states

Anderson, Aaron; Slootmaker, Chris; Harper, Erin E.; Holderieath, Jason; Shwiff, Stephanie A.

doi:10.1016/j.cropro.2016.06.023

Cited by 91 publications

(118 citation statements)

References 8 publications

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“…With increasing globalization, invasive alien species (IAS) have emerged as a significant and growing threat to both economic and ecological systems. Numerous studies have quantified the costs of IAS to specific economic sectors such as agriculture, silviculture and tourism (Anderson, Slootmaker, Harper, Holderieath, & Shwiff, 2016; Charles & Dukes, 2008; Eiswerth, Darden, Johnson, Agapoff, & Harris, 2005; Holmes, Aukema, Von Holle, Liebhold, & Sills, 2009). However, the full costs of IAS are difficult to monetize due to their impacts on ecosystem services, the aesthetic and cultural value of landscapes, and human health and well‐being (Pejchar & Mooney, 2009).…”

Section: Introductionmentioning

confidence: 99%

Mixed ancestry from wild and domestic lineages contributes to the rapid expansion of invasive feral swine

et al. 2020

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Invasive alien species are a significant threat to both economic and ecological systems. Identifying the processes that give rise to invasive populations is essential for implementing effective control strategies. We conducted an ancestry analysis of invasive feral swine (Sus scrofa, Linnaeus, 1758), a highly destructive ungulate that is widely distributed throughout the contiguous United States, to describe introduction pathways, sources of newly emergent populations and processes contributing to an ongoing invasion. Comparisons of high‐density single nucleotide polymorphism genotypes for 6,566 invasive feral swine to a comprehensive reference set of S. scrofa revealed that the vast majority of feral swine were of mixed ancestry, with dominant genetic associations to Western heritage breeds of domestic pig and European populations of wild boar. Further, the rapid expansion of invasive feral swine over the past 30 years was attributable to secondary introductions from established populations of admixed ancestry as opposed to direct introductions of domestic breeds or wild boar. Spatially widespread genetic associations of invasive feral swine to European wild boar deviated strongly from historical S. scrofa introduction pressure, which was largely restricted to domestic pigs with infrequent, localized wild boar releases. The deviation between historical introduction pressure and contemporary genetic ancestry suggests wild boar‐hybridization may contribute to differential fitness in the environment and heightened invasive potential for individuals of admixed domestic pig–wild boar ancestry.

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Section: Introductionmentioning

confidence: 99%

Mixed ancestry from wild and domestic lineages contributes to the rapid expansion of invasive feral swine

et al. 2020

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“…Wild pigs are an invasive species that cause a substantial amount of crop and property damage [16–20] and pose a significant disease threat to livestock operations [21–24], which could have cataclysmic effects on the economy. Wild pig populations are abundant across much of the U.S. in a variety of habitats, and appear to have few constraints on habitat invasion, making them an ideal study species for examining movement capacity across ecological scales.…”

Section: Introductionmentioning

confidence: 99%

Quantifying drivers of wild pig movement across multiple spatial and temporal scales

et al. 2017

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BackgroundThe movement behavior of an animal is determined by extrinsic and intrinsic factors that operate at multiple spatio-temporal scales, yet much of our knowledge of animal movement comes from studies that examine only one or two scales concurrently. Understanding the drivers of animal movement across multiple scales is crucial for understanding the fundamentals of movement ecology, predicting changes in distribution, describing disease dynamics, and identifying efficient methods of wildlife conservation and management.MethodsWe obtained over 400,000 GPS locations of wild pigs from 13 different studies spanning six states in southern U.S.A., and quantified movement rates and home range size within a single analytical framework. We used a generalized additive mixed model framework to quantify the effects of five broad predictor categories on movement: individual-level attributes, geographic factors, landscape attributes, meteorological conditions, and temporal variables. We examined effects of predictors across three temporal scales: daily, monthly, and using all data during the study period. We considered both local environmental factors such as daily weather data and distance to various resources on the landscape, as well as factors acting at a broader spatial scale such as ecoregion and season.ResultsWe found meteorological variables (temperature and pressure), landscape features (distance to water sources), a broad-scale geographic factor (ecoregion), and individual-level characteristics (sex-age class), drove wild pig movement across all scales, but both the magnitude and shape of covariate relationships to movement differed across temporal scales.ConclusionsThe analytical framework we present can be used to assess movement patterns arising from multiple data sources for a range of species while accounting for spatio-temporal correlations. Our analyses show the magnitude by which reaction norms can change based on the temporal scale of response data, illustrating the importance of appropriately defining temporal scales of both the movement response and covariates depending on the intended implications of research (e.g., predicting effects of movement due to climate change versus planning local-scale management). We argue that consideration of multiple spatial scales within the same framework (rather than comparing across separate studies post-hoc) gives a more accurate quantification of cross-scale spatial effects by appropriately accounting for error correlation.Electronic supplementary materialThe online version of this article (doi:10.1186/s40462-017-0105-1) contains supplementary material, which is available to authorized users.

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“…Annual economic losses have been estimated at $1.5 billion across the USA from crop damage, depredation of livestock, spread of disease, and the cost of control . Another estimate suggests $190 million of losses in crop yields per year across just 10 high‐producing states . In addition, wild pigs harm native ecosystems and natural resources by reducing plant species diversity, depredating sensitive species, and destroying the habitat and nests of valued native species…”

Section: Introductionmentioning

confidence: 99%

Exposure of a population of invasive wild pigs to simulated toxic bait containing biomarker: implications for population reduction

Snow

Lavelle

Halseth

et al. 2018

Pest Management Science

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BACKGROUND An international effort to develop an acute and humane toxic bait for invasive wild pigs (Sus scrofa) is underway to curtail their expansion. We evaluated the ability to expose a population of wild pigs to a simulated toxic bait (i.e., placebo bait containing a biomarker, rhodamine B, in lieu of the toxic ingredient) to gain insight on potential population reduction. We used 28 GPS‐collars and sampled 428 wild pigs to examine their vibrissae for evidence of consuming the bait. RESULTS We estimated that 91% of wild pigs within 0.75 km of bait sites (total area = 16.8 km2) consumed the simulated toxic bait, exposing them to possible lethal effects. Bait sites spaced 0.75–1.5 km apart achieved optimal delivery of the bait, but wild pigs ranging ≥ 3 km away were susceptible. Use of wild pig‐specific bait stations resulted in no non‐target species directly accessing the bait. CONCLUSION Results demonstrate the potential for exposing a large proportion of wild pigs to a toxic bait in similar ecosystems. Toxic baits may be an effective tool for reducing wild pig populations especially if used as part of an integrated pest management strategy. Investigation of risks associated with a field‐deployment of the toxic bait is needed. © 2018 Society of Chemical Industry

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Economic estimates of feral swine damage and control in 11 US states

Cited by 91 publications

References 8 publications

Mixed ancestry from wild and domestic lineages contributes to the rapid expansion of invasive feral swine

Mixed ancestry from wild and domestic lineages contributes to the rapid expansion of invasive feral swine

Quantifying drivers of wild pig movement across multiple spatial and temporal scales

Exposure of a population of invasive wild pigs to simulated toxic bait containing biomarker: implications for population reduction

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