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RESEARCH ARTICLE (Open Access)

Factors influencing the activity ranges of feral pigs (Sus scrofa) across four sites in eastern Australia

Cameron Wilson https://orcid.org/0000-0002-6088-2266 A B * , Matthew Gentle B C and Darren Marshall D
+ Author Affiliations
- Author Affiliations

A Animal Biosecurity and Welfare, Biosecurity Queensland, Department of Agriculture and Fisheries, Bundaberg, Qld 4670, Australia.

B Pest Animal Research Centre, Biosecurity Queensland, Department of Agriculture and Fisheries, Toowoomba, Qld 4350, Australia.

C School of Sciences, University of Southern Queensland, Toowoomba, Qld 4350, Australia.

D Southern Queensland Landscapes, Toowoomba, Qld 4350, Australia.

* Correspondence to: cameron.wilson@daf.qld.gov.au

Handling Editor: Thomas Prowse

Wildlife Research 50(11) 876-889 https://doi.org/10.1071/WR22095
Submitted: 31 May 2022  Accepted: 2 December 2022   Published: 16 January 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context: Understanding the home-range size and the ecological drivers that influence the spatial distribution of feral pigs is of paramount importance for exotic-disease modelling and the improvement of pest management programs.

Aims: To investigate various factors affecting home- and core-range size and test selection of habitat, to better inform disease modelling and pest management programs.

Methods: In this study, 59 GPS-collared feral pigs were tracked over four sites in eastern Australia between 2017 and 2021. Using minimum convex polygon (MCP) and the nearest-neighbour–local convex hull (k-LoCoH) as home-range estimators and foliage projective cover (FPC) as an estimator of landscape-scale shelter, we investigated the influence of sex, site, season, year and body weight on range size and tested selection of habitat by using chi-squared and Jacob’s index tests.

Key results: Home-range sizes were highly variable, with k-LoCoH90 (home) ranges between 0.08 and 54.97 km2 and k-LoCoH50 (core) ranges between 0.01 and 7.02 km2. MCP90 ranged between 0.15 and 242.30 km2, with MCP50 being between 0.07 and 60.61 km2. Sex and site both significantly (P < 0.001) influenced home-range size, but season and year did not. Home-range size was shown to increase with body mass for both sexes (P = 0.001). Importantly, the data indicated that feral pigs prefer habitat within 20–40% FPC (woodland), whereas open forests (51–80% FPC) and closed forests (>80% FPC) were actively avoided. Typically, use of open vegetation (1–10% FPC) was also avoided, but this behaviour varied and was dependent on site.

Conclusion: Feral pig ranges are influenced by sex, site and body mass but not by season and year. Broad-scale selection for shelter indicated that feral pigs prefer habitat between 20% and 40% FPC.

Implications: Targeting or avoiding such areas respectively for control or monitoring tool placement may result in improved, efficient outcomes to monitor or manage feral pig populations. Feral pig distribution modelling may also find benefit in the consideration and further study of the above factors and the influence of food and water sources on the activity ranges and behaviour of feral pigs.

Keywords: activity range, African swine fever, core range, disease modelling, feral pig, foliage projective cover, habitat selection, home range, k-LoCoH, MCP, pest management.


References

ABARES (2013) Australia’s state of the forests report. ABARES, Canberra, ACT, Australia.

ACIL Allen Consulting (2019) ‘Economic analysis of African swine fever incursion into Australia.’ (Prepared for Australian Pork Limited, ACIL Allen Consulting: Melbourne, Vic., Australia)

Animal Health Australia (2022) ‘Response strategy: African swine fever (version 5.1).’ 5th edn. (Australian Veterinary Emergency Plan (AUSVETPLAN): Canberra, ACT, Australia)

Baber, DW, and Coblentz, BE (1986). Density, home range, habitat use, and reproduction in feral pigs on Santa Catalina Island. Journal of Mammalogy 67, 512–525.
Density, home range, habitat use, and reproduction in feral pigs on Santa Catalina Island.Crossref | GoogleScholarGoogle Scholar |

Bengsen, AJ, Algar, D, Ballard, G, Buckmaster, T, Comer, S, Fleming, PJS, Friend, JA, Johnston, M, McGregor, H, Moseby, K, and Zewe, F (2016). Feral cat home-range size varies predictably with landscape productivity and population density. Journal of Zoology 298, 112–120.
Feral cat home-range size varies predictably with landscape productivity and population density.Crossref | GoogleScholarGoogle Scholar |

Bivand R, Keitt T, Rowlingson B (2021) rgdal: bindings for the ‘geospatial’ data abstraction library. Version 1.5-23. Available at https://CRAN.R-project.org/package=rgdal

Bjørneraas, K, Van Moorter, B, Rolandsen, CM, and Herfindal, I (2010). Screening global positioning system location data for errors using animal movement characteristics. The Journal of Wildlife Management 74, 1361–1366.
Screening global positioning system location data for errors using animal movement characteristics.Crossref | GoogleScholarGoogle Scholar |

Börger, L, Franconi, N, De Michele, G, Gantz, A, Meschi, F, Manica, A, Lovari, S, and Coulson, T (2006). Effects of sampling regime on the mean and variance of home range size estimates. Journal of Animal Ecology 75, 1393–1405.
Effects of sampling regime on the mean and variance of home range size estimates.Crossref | GoogleScholarGoogle Scholar |

Bradhurst, RA, Roche, SE, East, IJ, Kwan, P, and Garner, MG (2015). A hybrid modeling approach to simulating foot-and-mouth disease outbreaks in Australian livestock. Frontiers in Environmental Science 3, 17.
A hybrid modeling approach to simulating foot-and-mouth disease outbreaks in Australian livestock.Crossref | GoogleScholarGoogle Scholar |

Bradhurst RA, Garner G, Roche SE, Iglesias R, Kung N, Robinson B, Willis S, Cozens M, Richards K, Cowled BD, Oberin M, Tharle C, Fireston S, Stevenson M (2021) Modelling the spread and control of African swine fever in domestic and feral pigs. Technical report for CEBRA project 20121501. University of Melbourne, Melbourne, Vic., Australia.

Bureau of Meteorology (2022a) Climate classification maps. Available at http://www.bom.gov.au/jsp/ncc/climate_averages/climate-classifications/index.jsp?maptype=kpngrp#maps [Accessed 8 April 2022]

Bureau of Meteorology (2022b) Summary statisitcs Coconut Island. Available at http://www.bom.gov.au/climate/averages/tables/cw_027054.shtml [Accessed 8 April 2022]

Bureau of Meteorology (2022c) Summary statistics Canberra airport. Available at http://www.bom.gov.au/climate/averages/tables/cw_070351.shtml [Accessed 8 April 2022]

Bureau of Meteorology (2022d) Summary statistics Miles Post Office. Available at http://www.bom.gov.au/climate/averages/tables/cw_042023.shtml [Accessed 8 April 2022]

Bureau of Meteorology (2022e) Summary statistics Rolleston. Available at http://www.bom.gov.au/climate/averages/tables/cw_035059.shtml [Accessed 8 April 2022]

Burgman, MA, and Fox, JC (2003). Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning. Animal Conservation 6, 19–28.
Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning.Crossref | GoogleScholarGoogle Scholar |

Burt, WH (1943). Territoriality and home range concepts as applied to mammals. Journal of Mammalogy 24, 346–352.
Territoriality and home range concepts as applied to mammals.Crossref | GoogleScholarGoogle Scholar |

Calenge, C (2006). The package ‘adehabitat’ for the R software: a tool for the analysis of space and habitat use by animals. Ecological Modelling 197, 516–519.
The package ‘adehabitat’ for the R software: a tool for the analysis of space and habitat use by animals.Crossref | GoogleScholarGoogle Scholar |

Caley, P (1993). Population dynamics of feral pigs (Sus scrofa) in a tropical riverine habitat complex. Wildlife Research 20, 625–636.
Population dynamics of feral pigs (Sus scrofa) in a tropical riverine habitat complex.Crossref | GoogleScholarGoogle Scholar |

Caley, P (1997). Movements, activity patterns and habitat use of feral pigs (Sus scrofa) in a tropical habitat. Wildlife Research 24, 77–87.
Movements, activity patterns and habitat use of feral pigs (Sus scrofa) in a tropical habitat.Crossref | GoogleScholarGoogle Scholar |

Campbell, HA, Loewensteiner, DA, Murphy, BP, Pittard, S, and McMahon, CR (2021). Seasonal movements and site utilisation by Asian water buffalo (Bubalus bubalis) in tropical savannas and floodplains of northern Australia. Wildlife Research 48, 230–239.
Seasonal movements and site utilisation by Asian water buffalo (Bubalus bubalis) in tropical savannas and floodplains of northern Australia.Crossref | GoogleScholarGoogle Scholar |

Chenais, E, Depner, K, Guberti, V, Dietze, K, Viltrop, A, and Ståhl, K (2019). Epidemiological considerations on African swine fever in Europe 2014–2018. Porcine Health Management 5, 6.
Epidemiological considerations on African swine fever in Europe 2014–2018.Crossref | GoogleScholarGoogle Scholar |

Choquenot D, McIlroy J, Korn T (1996) ‘Managing vertebrate pests: feral pigs.’ (Bureau of Resource Sciences: Canberra, ACT, Australia)

Choquenot, D, Lukins, B, and Curran, G (1997). Assessing lamb predation by feral pigs in Australia’s semi-arid rangelands. Journal of Applied Ecology 34, 1445–1454.
Assessing lamb predation by feral pigs in Australia’s semi-arid rangelands.Crossref | GoogleScholarGoogle Scholar |

Clontz, LM, Pepin, KM, VerCauteren, KC, and Beasley, JC (2022). Influence of biotic and abiotic factors on home range size and shape of invasive wild pigs (Sus scrofa). Pest Management Science 78, 914–928.
Influence of biotic and abiotic factors on home range size and shape of invasive wild pigs (Sus scrofa).Crossref | GoogleScholarGoogle Scholar |

Cowled, B, and Garner, G (2008). A review of geospatial and ecological factors affecting disease spread in wild pigs: considerations for models of foot-and-mouth disease spread. Preventive Veterinary Medicine 87, 197–212.
A review of geospatial and ecological factors affecting disease spread in wild pigs: considerations for models of foot-and-mouth disease spread.Crossref | GoogleScholarGoogle Scholar |

Cowled, BD, Giannini, F, Beckett, SD, Woolnough, A, Barry, S, Randall, L, and Garner, G (2009). Feral pigs: predicting future distributions. Wildlife Research 36, 242–251.
Feral pigs: predicting future distributions.Crossref | GoogleScholarGoogle Scholar |

D’eon, RG, and Delparte, D (2005). Effects of radio-collar position and orientation on GPS radio-collar performance, and the implications of PDOP in data screening. Journal of Applied Ecology 42, 383–388.
Effects of radio-collar position and orientation on GPS radio-collar performance, and the implications of PDOP in data screening.Crossref | GoogleScholarGoogle Scholar |

Dexter, N (1996). The effect of an intensive shooting exercise from a helicopter on the behaviour of surviving feral pigs. Wildlife Research 23, 435–441.
The effect of an intensive shooting exercise from a helicopter on the behaviour of surviving feral pigs.Crossref | GoogleScholarGoogle Scholar |

Dexter, N (1999). The influence of pasture distribution, temperature and sex on home-range size of feral pigs in a semi-arid environment. Wildlife Research 26, 755–762.
The influence of pasture distribution, temperature and sex on home-range size of feral pigs in a semi-arid environment.Crossref | GoogleScholarGoogle Scholar |

Eales, KM, Norton, RE, and Ketheesan, N (2010). Brucellosis in northern Australia. The American Journal of Tropical Medicine and Hygiene 83, 876–878.
Brucellosis in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Edwards, GP, De Preu, N, Shakeshaft, BJ, Crealy, IV, and Paltridge, RM (2001). Home range and movements of male feral cats (Felis catus) in a semiarid woodland environment in central Australia. Austral Ecology 26, 93–101.
Home range and movements of male feral cats (Felis catus) in a semiarid woodland environment in central Australia.Crossref | GoogleScholarGoogle Scholar |

Fancourt, BA, Augusteyn, J, Cremasco, P, Nolan, B, Richards, S, Speed, J, Wilson, C, and Gentle, MN (2021). Measuring, evaluating and improving the effectiveness of invasive predator control programs: feral cat baiting as a case study. Journal of Environmental Management 280, 111691.
Measuring, evaluating and improving the effectiveness of invasive predator control programs: feral cat baiting as a case study.Crossref | GoogleScholarGoogle Scholar |

Fernanda Cuevas, M, Ojeda, RA, and Jaksic, FM (2013). Multi-scale patterns of habitat use by wild boar in the Monte Desert of Argentina. Basic and Applied Ecology 14, 320–328.
Multi-scale patterns of habitat use by wild boar in the Monte Desert of Argentina.Crossref | GoogleScholarGoogle Scholar |

Fordham, D, Georges, A, Corey, B, and Brook, BW (2006). Feral pig predation threatens the indigenous harvest and local persistence of snake-necked turtles in northern Australia. Biological Conservation 133, 379–388.
Feral pig predation threatens the indigenous harvest and local persistence of snake-necked turtles in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Fox J, Weisberg S (2019) ‘An R companion to applied regression.’ 3rd edn. (Sage)

Froese, JG, Smith, CS, Durr, PA, McAlpine, CA, and van Klinken, RD (2017). Modelling seasonal habitat suitability for wide-ranging species: invasive wild pigs in northern Australia. PLoS ONE 12, e0177018.
Modelling seasonal habitat suitability for wide-ranging species: invasive wild pigs in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Garner, MG, and Beckett, SD (2005). Modelling the spread of foot-and-mouth disease in Australia. Australian Veterinary Journal 83, 758–766.
Modelling the spread of foot-and-mouth disease in Australia.Crossref | GoogleScholarGoogle Scholar |

Garner, MG, Dubé, C, Stevenson, MA, Sanson, RL, Estrada, C, and Griffin, J (2007). Evaluating alternative approaches to managing animal disease outbreaks: the role of modelling in policy formulation. Veterinaria Italiana 43, 285–298.

Garza, SJ, Tabak, MA, Miller, RS, Farnsworth, ML, and Burdett, CL (2018). Abiotic and biotic influences on home-range size of wild pigs (Sus scrofa). Journal of Mammalogy 99, 97–107.
Abiotic and biotic influences on home-range size of wild pigs (Sus scrofa).Crossref | GoogleScholarGoogle Scholar |

Gentle, M, Speed, J, and Marshall, D (2015). Consumption of crops by feral pigs (Sus scrofa) in a fragmented agricultural landscape. Australian Mammalogy 37, 194–200.
Consumption of crops by feral pigs (Sus scrofa) in a fragmented agricultural landscape.Crossref | GoogleScholarGoogle Scholar |

Getz, WM, and Wilmers, CC (2004). A local nearest-neighbor convex-hull construction of home ranges and utilization distributions. Ecography 27, 489–505.
A local nearest-neighbor convex-hull construction of home ranges and utilization distributions.Crossref | GoogleScholarGoogle Scholar |

Guinat, C, Gogin, A, Blome, S, Keil, G, Pollin, R, Pfeiffer, DU, and Dixon, L (2016). Transmission routes of African swine fever virus to domestic pigs: current knowledge and future research directions. Veterinary Record 178, 262–267.
Transmission routes of African swine fever virus to domestic pigs: current knowledge and future research directions.Crossref | GoogleScholarGoogle Scholar |

Gupte, PR, Beardsworth, CE, Spiegel, O, Lourie, E, Toledo, S, Nathan, R, and Bijleveld, AI (2022). A guide to pre-processing high-throughput animal tracking data. Journal of Animal Ecology 91, 287–307.
A guide to pre-processing high-throughput animal tracking data.Crossref | GoogleScholarGoogle Scholar |

Harestad, AS, and Bunnel, FL (1979). Home range and body weight: a reevaluation. Ecology 60, 389–402.
Home range and body weight: a reevaluation.Crossref | GoogleScholarGoogle Scholar |

Harvey, N, Reeves, A, Schoenbaum, MA, Zagmutt-Vergara, FJ, Dubé, C, Hill, AE, Corso, BA, McNab, WB, Cartwright, CI, and Salman, MD (2007). The North American Animal Disease Spread Model: a simulation model to assist decision making in evaluating animal disease incursions. Preventive Veterinary Medicine 82, 176–197.
The North American Animal Disease Spread Model: a simulation model to assist decision making in evaluating animal disease incursions.Crossref | GoogleScholarGoogle Scholar |

Heitman, H, and Hughes, EH (1949). The effects of air temperature and relative humidity on the physiological well being of swine. Journal of Animal Science 8, 171–181.
The effects of air temperature and relative humidity on the physiological well being of swine.Crossref | GoogleScholarGoogle Scholar |

Hijmans RJ (2021) raster: geographic data analysis and modeling. R package version 3.4-13. Available at https://CRAN.R-project.org/package=raster

Hone J (1987) Theoretical and practical aspects of feral pig control. PhD. thesis, Australian National University.

Hone, J (2002). Feral pigs in Namadgi National Park, Australia: dynamics, impacts and management. Biological Conservation 105, 231–242.
Feral pigs in Namadgi National Park, Australia: dynamics, impacts and management.Crossref | GoogleScholarGoogle Scholar |

Ironside, KE, Mattson, DJ, Arundel, TR, and Hansen, JR (2017). Is GPS telemetry location error screening beneficial? Wildlife Biology 2017, 1–7.
Is GPS telemetry location error screening beneficial?Crossref | GoogleScholarGoogle Scholar |

Jacobs, J (1974). Quantitative measurement of food selection. Oecologia 14, 413–417.
Quantitative measurement of food selection.Crossref | GoogleScholarGoogle Scholar |

Kay, SL, Fischer, JW, Monaghan, AJ, Beasley, JC, Boughton, R, Campbell, TA, Cooper, SM, Ditchkoff, SS, Hartley, SB, Kilgo, JC, Wisely, SM, Wyckoff, AC, VerCauteren, KC, and Pepin, KM (2017). Quantifying drivers of wild pig movement across multiple spatial and temporal scales. Movement Ecology 5, 14.
Quantifying drivers of wild pig movement across multiple spatial and temporal scales.Crossref | GoogleScholarGoogle Scholar |

Kern, B, Depner, KR, Letz, W, Rott, M, Thalheim, S, Nitschke, B, Plagemann, R, and Liess, B (1999). Incidence of classical swine fever (CSF) in wild boar in a densely populated area indicating CSF. Virus persistence as a mechanism for virus perpetuation. Journal of Veterinary Medicine, Series B 46, 63–68.
Incidence of classical swine fever (CSF) in wild boar in a densely populated area indicating CSF. Virus persistence as a mechanism for virus perpetuation.Crossref | GoogleScholarGoogle Scholar |

Leo, BT, Anderson, JJ, Phillips, RB, and Ha, RR (2016). Home range estimates of feral cats (Felis catus) on Rota Island and determining asymptotic convergence. Pacific Science 70, 323–331.
Home range estimates of feral cats (Felis catus) on Rota Island and determining asymptotic convergence.Crossref | GoogleScholarGoogle Scholar |

Lynes, BC, and Campbell, SD (2000). Germination and viability of mesquite (Prosopis pallida) seed following ingestion and excretion by feral pigs (Sus scrofa). Tropical Grasslands 34, 125–128.

Massei, G, Genov, PV, Staines, BW, and Gorman, ML (1997). Factors influencing home range and activity of wild boar (Sus scrofa) in a Mediterranean coastal area. Journal of Zoology 242, 411–423.
Factors influencing home range and activity of wild boar (Sus scrofa) in a Mediterranean coastal area.Crossref | GoogleScholarGoogle Scholar |

Massey, PD, Polkinghorne, BG, Durrheim, DN, Lower, T, and Speare, R (2011). Blood, guts and knife cuts: reducing the risk of swine brucellosis in feral pig hunters in north-west New South Wales, Australia. Rural and Remote Health 11, 1793.
Blood, guts and knife cuts: reducing the risk of swine brucellosis in feral pig hunters in north-west New South Wales, Australia.Crossref | GoogleScholarGoogle Scholar |

McCallum, H, Barlow, N, and Hone, J (2001). How should pathogen transmission be modelled? Trends in Ecology & Evolution 16, 295–300.
How should pathogen transmission be modelled?Crossref | GoogleScholarGoogle Scholar |

McDonald JH (2014) ‘Handbook of biological statistics.’ 3rd edn. (Sparky House Publishing: Baltimore, MD, USA)

Miller, RS, Sweeney, SJ, Slootmaker, C, Grear, DA, Di Salvo, PA, Kiser, D, and Shwiff, SA (2017). Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: implications for disease risk management in North America. Scientific Reports 7, 7821.
Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: implications for disease risk management in North America.Crossref | GoogleScholarGoogle Scholar |

Mitchell JL (2002) Ecology and management of feral pigs (Sus scrofa) in rainforests. PhD thesis, James Cook University, Townsville, Qld, Australia.

Mitchell J (2010) Experimental research to quantify the environmental impact of feral pigs within tropical freshwater ecosystems. Final report to the Department of the Environment, Water, Heritage and the Arts, Canberra, ACT, Australia.

Mitchell, J, Dorney, W, Mayer, R, and McIlroy, J (2007). Ecological impacts of feral pig diggings in north Queensland rainforests. Wildlife Research 34, 603–608.
Ecological impacts of feral pig diggings in north Queensland rainforests.Crossref | GoogleScholarGoogle Scholar |

Mitchell, J, Dorney, W, Mayer, R, and McIlroy, J (2009). Migration of feral pigs (Sus scrofa) in rainforests of north Queensland: fact or fiction? Wildlife Research 36, 110–116.
Migration of feral pigs (Sus scrofa) in rainforests of north Queensland: fact or fiction?Crossref | GoogleScholarGoogle Scholar |

Morgan, ER, Lundervold, M, Medley, GF, Shaikenov, BS, Torgerson, PR, and Milner-Gulland, EJ (2006). Assessing risks of disease transmission between wildlife and livestock: the Saiga antelope as a case study. Biological Conservation 131, 244–254.
Assessing risks of disease transmission between wildlife and livestock: the Saiga antelope as a case study.Crossref | GoogleScholarGoogle Scholar |

Moseby, KE, Read, JL, and Andersen, GE (2021). Goat movement patterns inform management of feral goat populations in semiarid rangelands. Wildlife Research 48, 44–54.
Goat movement patterns inform management of feral goat populations in semiarid rangelands.Crossref | GoogleScholarGoogle Scholar |

National Native Title Tribunal (2004) Extract from the National Native Title Register. Federal Court Number(s): QUD6066/1998. (Federal Court of Australia) Available at http://www.nntt.gov.au/searchRegApps/NativeTitleRegisters/NNTR%20Extracts/QCD2004_008/NNTRExtract_QCD2004_008.pdf [Accessed 8 April 2022]

Neu, CW, Byers, CR, and Peek, JM (1974). A technique for analysis of utilization-availability data. The Journal of Wildlife Management 38, 541–545.
A technique for analysis of utilization-availability data.Crossref | GoogleScholarGoogle Scholar |

Nogueira, SSdC, Nogueira-Filho, SLG, Bassford, M, Silvius, K, and Fragoso, JMV (2007). Feral pigs in Hawai‘i: using behavior and ecology to refine control techniques. Applied Animal Behaviour Science 108, 1–11.
Feral pigs in Hawai‘i: using behavior and ecology to refine control techniques.Crossref | GoogleScholarGoogle Scholar |

NSW Government (2021) Landsat woody extent and foliage projective cover (FPC) Ver 2.1 (25m) 2008. Available at https://datasets.seed.nsw.gov.au/dataset/landsat-woody-extent-and-foliage-projective-cover-fpc-ver-2-1-25m-20087355d [Accessed 16 April 2021]

Pavlov, PM, Hone, J, Kilgour, RJ, and Pedersen, H (1981). Predation by feral pigs on Merino lambs at Nyngan, New South Wales. Australian Journal of Experimental Agriculture 21, 570–574.
Predation by feral pigs on Merino lambs at Nyngan, New South Wales.Crossref | GoogleScholarGoogle Scholar |

Pebesma, E (2018). Simple features for R: standardized support for spatial vector data. The R Journal 10, 439–446.
Simple features for R: standardized support for spatial vector data.Crossref | GoogleScholarGoogle Scholar |

Pebesma, EJ, and Bivand, RS (2005). Classes and methods for spatial data in R. R News 5, 9–13.

Pech, RP, and McIlroy, JC (1990). A model of the velocity of advance of foot and mouth disease in feral pigs. Journal of Applied Ecology 27, 635–650.
A model of the velocity of advance of foot and mouth disease in feral pigs.Crossref | GoogleScholarGoogle Scholar |

Podgórski, T, Apollonio, M, and Keuling, O (2018). Contact rates in wild boar populations: implications for disease transmission. The Journal of Wildlife Management 82, 1210–1218.
Contact rates in wild boar populations: implications for disease transmission.Crossref | GoogleScholarGoogle Scholar |

R Core Team (2021) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria)

Recio, MR, Maloney, RF, Mathieu, R, Virgós, E, Moore, AB, and Seddon, PJ (2017). Optimizing control programmes by integrating data from fine-scale space use by introduced predators. Biological Invasions 19, 209–221.
Optimizing control programmes by integrating data from fine-scale space use by introduced predators.Crossref | GoogleScholarGoogle Scholar |

Salbosa L-L, Lepczyk C (2009) Analysis of feral pig (Sus scrofa) movement in a Hawaiian forest ecosystem using GPS satellite collars. Nature Precedings 2009. 10.1038/npre.2009.3903.1

Saunders, G, and Kay, B (1991). Movements of feral pigs (Sus scrofa) at Sunny Corner, New South Wales. Wildlife Research 18, 49–61.
Movements of feral pigs (Sus scrofa) at Sunny Corner, New South Wales.Crossref | GoogleScholarGoogle Scholar |

Saunders, G, and Kay, B (1996). Movements and home ranges of feral pigs (Sus scrofa) in Kosciusko National Park, New South Wales. Wildlife Research 23, 711–719.
Movements and home ranges of feral pigs (Sus scrofa) in Kosciusko National Park, New South Wales.Crossref | GoogleScholarGoogle Scholar |

Saunders, G, and McLeod, S (1999). Predicting home range size from the body mass or population densities of feral pigs, Sus scrofa (Artiodactyla: Suidae). Australian Journal of Ecology 24, 538–543.
Predicting home range size from the body mass or population densities of feral pigs, Sus scrofa (Artiodactyla: Suidae).Crossref | GoogleScholarGoogle Scholar |

Setter M, Bradford M, Dorney B, Lynes B, Mitchell J, Setter S, Westcott D (2002) Pond apple: are the endangered cassowary and feral pig helping this weed to invade Queensland’s wet tropics. In ‘Proceedings of Australian Weeds Conference volume 13’. pp. 173–176.

Singer, FJ, Otto, DK, Tipton, AR, and Hable, CP (1981). Home ranges, movements, and habitat use of European wild boar in Tennessee. The Journal of Wildlife Management 45, 343–353.
Home ranges, movements, and habitat use of European wild boar in Tennessee.Crossref | GoogleScholarGoogle Scholar |

Spencer, PBS, and Hampton, JO (2005). Illegal translocation and genetic structure of feral pigs in Western Australia. The Journal of Wildlife Management 69, 377–384.
Illegal translocation and genetic structure of feral pigs in Western Australia.Crossref | GoogleScholarGoogle Scholar |

Taylor, DL, Leung, LK-P, and Gordon, IJ (2011). The impact of feral pigs (Sus scrofa) on an Australian lowland tropical rainforest. Wildlife Research 38, 437–445.
The impact of feral pigs (Sus scrofa) on an Australian lowland tropical rainforest.Crossref | GoogleScholarGoogle Scholar |

The State of Queensland (2021) The long paddock. Available at https://www.longpaddock.qld.gov.au/forage/ [Accessed 16 April 2021]

VanderWaal, K, and Deen, J (2018). Global trends in infectious diseases of swine. Proceedings of the National Academy of Sciences of the United States of America 115, 11495–11500.
Global trends in infectious diseases of swine.Crossref | GoogleScholarGoogle Scholar |

VerCauteren, KC, Lavelle, MJ, and Campa, H (2018). Persistent spillback of bovine tuberculosis from white-tailed deer to cattle in Michigan, USA: status, strategies, and needs. Frontiers in Veterinary Science 5, 301.
Persistent spillback of bovine tuberculosis from white-tailed deer to cattle in Michigan, USA: status, strategies, and needs.Crossref | GoogleScholarGoogle Scholar |

Ward, MP, Laffan, SW, and Highfield, LD (2007). The potential role of wild and feral animals as reservoirs of foot-and-mouth disease. Preventive Veterinary Medicine 80, 9–23.
The potential role of wild and feral animals as reservoirs of foot-and-mouth disease.Crossref | GoogleScholarGoogle Scholar |

Webber, BL, Norton, BA, and Woodrow, IE (2010). Disturbance affects spatial patterning and stand structure of a tropical rainforest tree. Austral Ecology 35, 423–434.
Disturbance affects spatial patterning and stand structure of a tropical rainforest tree.Crossref | GoogleScholarGoogle Scholar |

Wilson C (2020) Spatial ecology of feral cats (Felis catus) and the implications for effective management. Honours thesis, University of New England, Armidale, NSW, Australia.

World Organisation for Animal Health (2021) African swine fever. Available at https://www.oie.int/en/disease/african-swine-fever/ [Accessed 11 November 2021]

Zar JH (2014) ‘Biostatistical analysis.’ 5th edn. (Pearson Education Limited: Essex, UK)