Insights into feral goat movement in Australia using dynamic Brownian Bridges for movement analysis
Mark R. Lethbridge
+ Author Affiliations
- Author Affiliations
School of the Environment, Faculty of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia. Email: mark.lethbridge@flinders.edu.au
The Rangeland Journal 38(4) 343-359 https://doi.org/10.1071/RJ15024
Submitted: 24 March 2015 Accepted: 9 May 2016 Published: 24 June 2016
Abstract
Movement analyses were conducted for 50 goats across southern Australia using GPS satellite collars. A radio or satellite-tracked animal used to direct culling operations is generally called a ‘Judas’ animal. Goats used as ‘Judas’ animals in control operations were compared with non-‘Judas’ goats in the states of South Australia and Victoria, respectively. Their movement in two land systems were also compared. Dynamic Brownian Bridges Movement Models were used to calculate home ranges (95% utilisation areas). Changes in movement behaviour were identified to partition sedentary behaviour from long-distance movement events, defined here as ranging. Eleven goats exhibited ranging behaviour and moved from 9 to 33 km between their home ranges. After partitioning, their home ranges varied from 1.97 to 223.8 km2. In this study in the Southern Australian Mallee regions, non-‘Judas’ goats had significantly smaller home ranges than ‘Judas’ goats. However, no significant differences were found in the ranging distances between non-‘Judas’ goats and ‘Judas’ goats. Understanding these two distinct forms of goat movement is important in the planning and budgeting of removal operations. To demonstrate this a simple goat management decision tool is used to illustrate the biases that can result in the expected hours of removal operations when the assumptions about goat movement are ill-defined.
Additional keywords: home range, migration, ranging, utilisation areas.
References
Berbert, J. M., and Fagan, W. F. (2012). How the interplay between individual spatial memory and landscape persistence can generate population distribution patterns. Ecological Complexity 12, 1–12.| How the interplay between individual spatial memory and landscape persistence can generate population distribution patterns.Crossref | GoogleScholarGoogle Scholar |
BOM (2015). Bureau of Meteorology. Available at: www.bom.gov.au/ (accessed 1 April 2013).
Börger, L., Franconi, N., De Michele, G., Gantz, A., Meschi, F., Manica, A., Lovari, S., and Coulson, T. (2006a). 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 | 17032372PubMed |
Börger, L., Franconi, N., Ferretti, F., Meschi, F., De Michele, G., Gantz, A., and Coulson, T. (2006b). An integrated approach to identify spatiotemporal and individual-level determinants of animal home range size. American Naturalist 168, 471–485.
| An integrated approach to identify spatiotemporal and individual-level determinants of animal home range size.Crossref | GoogleScholarGoogle Scholar | 17004219PubMed |
Buckland, S. T., Anderson, D. R., Burnham, K. P., and Laake, J. L. (1993). ‘Distance Sampling: Estimating Abundance of Biological Populations.’ (Chapman and Hall: London, UK.)
Burt, W. H. (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 |
Clements, G. M., Hygnstrom, S. E., Gilsdorf, J. M., Baasch, D. M., Clements, M. J., and Vercauteren, K. C. (2011). ‘Movements of White-Tailed Deer in Riparian Habitat: Implications for Infectious Diseases.’ Staff Publications Paper 1356. (USDA National Wildlife Research Center: Fort Collins, CO.)
Department of Environment and Heritage (DEH) (2009). ‘South Australian Arid Lands Biodiversity Strategy – Flinders and Olary Ranges Conservation Priorities.’ (South Australian Arid Lands NRM Board, Department for Environment and Heritage: Port Augusta, SA.)
Dingle, H., and Drake, A. V. (2007). What is migration? Bioscience 57, 113–121.
| What is migration?Crossref | GoogleScholarGoogle Scholar |
Dixon, K. R., and Chapman, J. A. (1980). Harmonic mean measure of animal activity areas. Ecology 61, 1040–1044.
| Harmonic mean measure of animal activity areas.Crossref | GoogleScholarGoogle Scholar |
Djordjevic, B., Gudmundsson, J., Pham, A., and Wolle, T. (2011). Detecting regular visit patterns. Algorithmica 60, 829–852.
| Detecting regular visit patterns.Crossref | GoogleScholarGoogle Scholar |
Dodge, S., Weibel, R., and Lautenschutz, A. (2008). Towards a taxonomy of movement patterns. Information Visualization 7, 240–252.
| Towards a taxonomy of movement patterns.Crossref | GoogleScholarGoogle Scholar |
Doncaster, P. C., and Macdonald, D. W. (1991). Drifting territoriality in the red fox Vulpes vulpes. Journal of Animal Ecology 60, 423–439.
| Drifting territoriality in the red fox Vulpes vulpes.Crossref | GoogleScholarGoogle Scholar |
Edwards, G. P., Pople, A. R., Saalfeld, K., and Caley, P. (2004). Introduced mammals in Australian rangelands: future threats and the role of monitoring programmes in management strategies. Austral Ecology 29, 40–50.
| Introduced mammals in Australian rangelands: future threats and the role of monitoring programmes in management strategies.Crossref | GoogleScholarGoogle Scholar |
Elzinga, C. L., Salzer, D. W., Willoughby, J. W., and Gobbs, J. P. (2001). ‘Monitoring Plant and Animal Populations.’ (Blackwell Science: Malden, MA.)
Fleming, C. H., Calabrese, J. M., Mueller, T., Olson, K. A., Leimgruber, P., and Fagan, W. F. (2014). From fine-scale foraging to home ranges: a semivariance approach to identifying movement modes across spatiotemporal scales. American Naturalist 183, E154–E167.
| From fine-scale foraging to home ranges: a semivariance approach to identifying movement modes across spatiotemporal scales.Crossref | GoogleScholarGoogle Scholar | 24739204PubMed |
Freudenberger, D., and Barber, J. (1999). Movement patterns of feral goats in a semi-arid woodland in eastern Australia. The Rangeland Journal 21, 71–81.
| Movement patterns of feral goats in a semi-arid woodland in eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Gautestad, A. O., and Mysterud, I. (1993). Physical and biological mechanisms in animal movement processes. Journal of Applied Ecology 30, 523–535.
| Physical and biological mechanisms in animal movement processes.Crossref | GoogleScholarGoogle Scholar |
Girard, I., Ouellet, J. P., Courtois, R., Dussault, C., and Breton, L. (2002). Effects of sampling effort based on GPS telemetry on home-range size estimations. The Journal of Wildlife Management 66, 1290–1300.
| Effects of sampling effort based on GPS telemetry on home-range size estimations.Crossref | GoogleScholarGoogle Scholar |
Grubb, P., and Jewell, P. E. (1966). Social grouping and home range in feral soay sheep. Symposium of the Zoological Society of London 18, 179–201.
Henzell, R. P. (1983). Biology and control of feral goats. Australian Vertebrate Pest Control Conference 7, 142–145.
Holt, C., and Pickles, G. (1996). Home range responses of feral goats. The Rangeland Journal 18, 144–149.
| Home range responses of feral goats.Crossref | GoogleScholarGoogle Scholar |
Horne, J. S., Garton, E. O., Krone, S. M., and Lewis, J. S. (2007). Analyzing animal movements using brownian bridges. Ecology 88, 2354–2363.
| Analyzing animal movements using brownian bridges.Crossref | GoogleScholarGoogle Scholar | 17918412PubMed |
Jago, B. (1999). ‘Feral Goat (Capra hircus) in Queensland.’ (Pest Status Review Series – Land Protection: Brisbane, Qld.)
Johnson, C. J., Parker, K. L., Heard, D. C., and Gillingham, M. P. (2002). Movement parameters of ungulates and scale-specific responses to the environment. Journal of Animal Ecology 71, 225–235.
| Movement parameters of ungulates and scale-specific responses to the environment.Crossref | GoogleScholarGoogle Scholar |
Jonzén, N., Knudsen, E., Holt, R. D., and Saether, B. E. (2011). Uncertainty and predictability: the niches of migrants and nomads. In: ‘Animal Migration’. (Eds E. J. Milner-Ulland, J. M. Fryxell and A. R. E. Sinclair.) pp. 91–109. (Oxford University Press: Oxford, UK.)
Kenward, R. E. (1992). Radio-tagging and the analysis of animal movements. In: ‘Microcomputers in Environmental Biology’. (Ed. J. N. R Jeffers.) pp. 225–269. (Parthenon Publishing: Nashville, TN.)
Kenward, R. E., Clarke, R. T., Hodder, K. H., and Walls, S. S. (2001). Density and linkage estimators of home range: nearest neighbor clustering defines multinuclear cores. Ecology 82, 1905–1920.
| Density and linkage estimators of home range: nearest neighbor clustering defines multinuclear cores.Crossref | GoogleScholarGoogle Scholar |
Kimball, N. P., and Chuk, M. (2011). ‘Feral Goat Ecology and Management in the Western NSW Rangelands: A Review.’ (Western Catchment Management Authority: Bourke, NSW.)
King, D. (1992). Home ranges of feral goats in a pastoral area in Western Australia. Wildlife Research 19, 643–649.
| Home ranges of feral goats in a pastoral area in Western Australia.Crossref | GoogleScholarGoogle Scholar |
Kranstauber, B., and Smolla, M. (2015). Package Move – Visualizing and analyzing animal track data. Available at: CRAN http://computational-ecology.com/main-move.html (accessed 3 February 2015)
Kranstauber, B., Kays, R., LaPoint, S. D., Wikelski, M., and Safi, K. (2012). A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. Journal of Animal Ecology 81, 738–746.
| A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement.Crossref | GoogleScholarGoogle Scholar | 22348740PubMed |
Kranstauber, B., Safi, K., and Bartumeus, F. (2014). Bivariate Gaussian bridges: directional factorization of diffusion in Brownian bridge models. Movement Ecology 2, 5–14.
| Bivariate Gaussian bridges: directional factorization of diffusion in Brownian bridge models.Crossref | GoogleScholarGoogle Scholar | 25937928PubMed |
Lethbridge, M. R., and Strauss, J. C. (2015). A novel dispersal algorithm in individual-based, spatially-explicit Population Viability Analysis: A new role for genetic measures in model testing? Environmental Modelling & Software 68, 83–97.
| A novel dispersal algorithm in individual-based, spatially-explicit Population Viability Analysis: A new role for genetic measures in model testing?Crossref | GoogleScholarGoogle Scholar |
Lethbridge, M. R., Anderson, N., Harper, M. L., and Gee, P. (2010). Movement and landscape use of camels in central Australia revealed by GPS satellite. The Rangeland Journal 32, 33–41.
| Movement and landscape use of camels in central Australia revealed by GPS satellite.Crossref | GoogleScholarGoogle Scholar |
Lethbridge, M. R., Andrews, L. M., Jennings, S., Mutze, G., Mitchell, J., Stead, M., and Harper, M. (2013). ‘Advice on Effectiveness of Vertebrate Pest Animal Control on Condition of Native Vegetation: Part B – Case Studies and Methodology Development.’ Report to Department of Sustainability, Environment, Water, Population and Communities. (EcoKnowledge: Adelaide, SA.)
McClintock, B. T., King, R., Thomas, L., Matthiopoulos, J., McConnell, B. J., and Morales, J. M. (2012). A general discrete-time modelling framework for animal movement using multistate random walks. Ecological Monographs 82, 335–349.
| A general discrete-time modelling framework for animal movement using multistate random walks.Crossref | GoogleScholarGoogle Scholar |
McRae, I. R. (1984). A study of the feral goat in far western New South Wales. MSc Thesis, University of New South Wales, Kensington, NSW, Australia.
Mitchell, B., and Balogh, S. (2007). ‘Monitoring Techniques for Vertebrate Pests: Feral Goats.’ (NSW DPI: Orange, NSW.)
Moorcroft, P. R., Lewis, M. A., and Crabtree, R. L. (2006). Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone. Proceedings. Biological Sciences 273, 1651–1659.
| Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone.Crossref | GoogleScholarGoogle Scholar |
Mueller, T., and Fagan, W. F. (2008). Search and navigation in dynamic environments – from individual behaviours to population distributions. Oikos 117, 654–664.
| Search and navigation in dynamic environments – from individual behaviours to population distributions.Crossref | GoogleScholarGoogle Scholar |
Mueller, T., Olson, K. A., Dressler, G., Leimgruber, P., Fuller, T. K., Nicolson, C., Novaro, A. J., Bolgeri, M. J., Wattles, S., DeStefano, S., and Fagan, W. F. (2011). How landscape dynamics link individual to population level movement patterns: a multispecies comparison of ungulate relocation data. Global Ecology and Biogeography 20, 683–694.
| How landscape dynamics link individual to population level movement patterns: a multispecies comparison of ungulate relocation data.Crossref | GoogleScholarGoogle Scholar |
Noble, J. C. (1984). Mallee. In: ‘Management of Australia’s Rangelands’. (Eds G. N. Harrington, A. A. D Wilson and M. D. Young.) pp. 223–240. (CSIRO Publishing: Melbourne, Vic.)
O’Brien, P. H. (1984). Feral goat home range: influence of social class and environmental variables. Applied Animal Behaviour Science 12, 373–385.
| Feral goat home range: influence of social class and environmental variables.Crossref | GoogleScholarGoogle Scholar |
Parkes, J., Henzell, R., and Pickles, G. (1996). ‘Managing Vertebrate Pests: Feral Goats.’ (Australian Government Publishing Service: Canberra, ACT.)
Parsons, R. F. (1994). Eucalyptus scrubs and shrublands. In: ‘Australian Vegetation’. 2nd edn. (Ed. R. H. Groves) pp. 291–319. (Cambridge University Press: Cambridge, UK.)
Possingham, H. (2001). ‘The Business of Biodiversity.’ (Australian Conservation Foundation: Melbourne, Vic.)
Powell, R. A. (2000). Animal home ranges and territories and home range estimators. In: ‘Research Techniques in Animal Ecology: Controversies and Consequences’. (Eds L. Boitani and T. K. Fuller.) pp. 65–110. (Columbia University Press: New York.)
R Core Team (2014). ‘R: A Language and Environment for Statistical Computing.’ (R Foundation for Statistical Computing: Vienna, Austria.)
Redpath, M. (1995). Habitat fragmentation and the individual: Tawny Owls Strix aluco in woodland patches. Journal of Animal Ecology 64, 652–661.
| Habitat fragmentation and the individual: Tawny Owls Strix aluco in woodland patches.Crossref | GoogleScholarGoogle Scholar |
Riney, T., and Caughley, G. (1959). A study of home range in a feral goat herd. New Zealand Journal of Science 2, 157–170.
Robertson, P. A., Aebischer, N. J., Kenward, R. E., Hanski, I. K., and William, N. P. (1998). Simulation and jack-knifing assessment of home-range indices based on underlying trajectories. Journal of Applied Ecology 35, 928–940.
| Simulation and jack-knifing assessment of home-range indices based on underlying trajectories.Crossref | GoogleScholarGoogle Scholar |
Russell, B. G., Letnic, M., and Fleming, P. J. S. (2011). Managing feral goat impacts by manipulating their access to water in the rangelands. The Rangeland Journal 33, 143–152.
| Managing feral goat impacts by manipulating their access to water in the rangelands.Crossref | GoogleScholarGoogle Scholar |
Schick, R. S., Loarie, S. R., Colchero, F., Best, B. D., Boustany, A., Conde, D. A., Halpin, P. N., Joppa, C. M., McClellan, L. N., and Clark, J. S. (2008). Understanding movement data and movement pro-cesses: current and emerging directions. Ecology Letters 11, 1338–1350.
| Understanding movement data and movement pro-cesses: current and emerging directions.Crossref | GoogleScholarGoogle Scholar | 19046362PubMed |
Seaman, D. E., and Powell, R. A. (1996). An evaluation of the accuracy of kernel density estimators for home range analysis. Ecology 77, 2075–2085.
| An evaluation of the accuracy of kernel density estimators for home range analysis.Crossref | GoogleScholarGoogle Scholar |
Shea, K., Amarasekare, P., Kareiva, P., Mangel, M., Moore, J., Murdoch, W. W., Noonburg, E., Parma, A. M., Pascual, M. A., Possingham, H. P., Wilcox, C., and Yu, D. (1998). Management of populations in conservation, harvesting and control. Trends in Ecology & Evolution 13, 371–375.
| Management of populations in conservation, harvesting and control.Crossref | GoogleScholarGoogle Scholar |
Smith, D. H. V., and Jamieson, I. G. (2005). Lack of movement of stoats Mustela erminea between Nothofagus valley floors and alpine grasslands, with implications for the conservation of New Zealand’s endangered fauna. New Zealand Journal of Ecology 29, 45–52.
Storm, G. L., Andrews, R. D., Phillips, R. L., Bishop, R. A., Siniff, D. B., and Tester, J. R. (1976). Morphology, reproduction, dispersal, and mortality of midwestern red fox populations. Wildlife Monographs 49, 3–82.
Ung, R. (2011). Moose Alces alces movement and space occupancy within their home range in Southern Ontario. PhD Thesis, Department of Ecology and Evolutionary Biology, University of Toronto, Canada.
Wasson, R. J. (1989). Landforms. In: ‘Mediterranean Landscapes in Australia, Mallee Ecosystems and their Management’. (Eds J. C. Noble and R. A. Bradstock.) pp. 13–34. (CSIRO Publishing: Melbourne, Vic.)
White, G. C., and Garrott, R. A. (1990). ‘Analysis of Wildlife Radio-Tracking Data.’ (Academic Press: San Diego, CA.)
Worton, B. J. (1989). Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70, 164–168.
| Kernel methods for estimating the utilization distribution in home-range studies.Crossref | GoogleScholarGoogle Scholar |
