Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
The Rangeland Journal The Rangeland Journal Society
Journal of the Australian Rangeland Society
RESEARCH ARTICLE

Effect of GPS sample interval and paddock size on estimates of distance travelled by grazing cattle in rangeland, Australia

Sharon L. McGavin A , Greg J. Bishop-Hurley B F , Ed Charmley C , Paul L. Greenwood D and Matthew J. Callaghan E
+ Author Affiliations
- Author Affiliations

A Formerly: CSIRO Agriculture and Food, Townsville, Qld 4814, Australia.

B CSIRO Agriculture and Food, St Lucia, Qld 4067, Australia.

C CSIRO Agriculture and Food, Townsville, Qld 4814, Australia.

D NSW Department of Primary Industries, Armidale, NSW 2351, Australia; and CSIRO Agriculture and Food, Armidale, NSW 2350, Australia.

E Ridley Agriproducts, Toowong, Qld 4066, Australia.

F Corresponding author. Email: greg.bishop-hurley@csiro.au

The Rangeland Journal 40(1) 55-64 https://doi.org/10.1071/RJ17092
Submitted: 5 September 2017  Accepted: 27 November 2017   Published: 27 February 2018

Abstract

The distance travelled by an animal, when determined by using global positioning system (GPS) coordinates, is usually calculated assuming linear movement between the recorded coordinates. When using long sample intervals, some movement may be overlooked if linear movement between each recorded position is assumed, because of the tendency of livestock to move in meandering paths. Conversely, overestimation of the true distance travelled could occur with short sample intervals because of the accumulation of extra distance due to GPS measurement error. Data from 10 experiments were used to explore the effect of paddock size and GPS sampling rate on the calculation of distance travelled by free-ranging cattle. Shortening the sample interval increased apparent distance travelled according to a power function. As paddock size increased from <1 ha to >450 ha, distance travelled increased according to a logarithmic relationship; however, other variation between experiments could have affected these results. It was concluded that selecting an optimal GPS sampling interval is critical to accurately determining the distance travelled by free-ranging cattle.

Additional keywords: animal behaviour, beef cattle, energetics of walking, Global Navigation Satellite System, GNSS, livestock, metabolisable energy, sampling rate, sample frequency.


References

Anderson, D. M., and Kothmann, M. M. (1980). Relationship of distance travelled with diet and weather for Hereford heifers. Journal of Range Management 33, 217–220.
Relationship of distance travelled with diet and weather for Hereford heifers.Crossref | GoogleScholarGoogle Scholar |

Arnold, G. W. (1960). The effect of the quantity and quality of pasture available to sheep on their grazing behaviour. Australian Journal of Agricultural Research 11, 1034–1043.
The effect of the quantity and quality of pasture available to sheep on their grazing behaviour.Crossref | GoogleScholarGoogle Scholar |

Bailey, D. W., VanWagoner, H. C., and Weinmeister, R. (2006). Individual animal selection has the potential to improve uniformity of grazing on foothill rangeland. Rangeland Ecology and Management 59, 351–358.
Individual animal selection has the potential to improve uniformity of grazing on foothill rangeland.Crossref | GoogleScholarGoogle Scholar |

Bailey, D. W., Thomas, M. G., Walker, J. W., Witmore, B. K., and Tolleson, D. (2010). Effect of previous experience on grazing patterns and diet selection of Brangus cows in the Chihuahuan Desert. Rangeland Ecology and Management 63, 223–232.
Effect of previous experience on grazing patterns and diet selection of Brangus cows in the Chihuahuan Desert.Crossref | GoogleScholarGoogle Scholar |

Brosh, A., Henkin, Z., Ungar, E. D., Dolev, A., Orlov, A., Yehuda, Y., and Aharoni, Y. (2006). Energy cost of cows’ grazing activity: Use of the heart rate method and the Global Positioning System for direct field estimation. Journal of Animal Science 84, 1951–1967.
Energy cost of cows’ grazing activity: Use of the heart rate method and the Global Positioning System for direct field estimation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xmt1aqtLY%3D&md5=702379902ea90928c2e70f8167ff9b60CAS |

Cain, J. W., Krausman, P. R., Jansen, B. D., and Morgart, J. R. (2005). Influence of topography and GPS fix interval on GPS collar performance. Wildlife Society Bulletin 33, 926–934.
Influence of topography and GPS fix interval on GPS collar performance.Crossref | GoogleScholarGoogle Scholar |

Cory, V. L. (1927). Activities of livestock on the range. Texas Agricultural Experiment Station Bulletin 367, 1–47.

D’Eon, R. G. (2003). Effects of a stationary GPS fix-rate bias on habitat-selection analyses. The Journal of Wildlife Management 67, 858–863.
Effects of a stationary GPS fix-rate bias on habitat-selection analyses.Crossref | GoogleScholarGoogle Scholar |

D’Eon, R. G., 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 |

DeCesare, N. J., Squires, J. R., and Kolbe, J. A. (2005). Effect of forest canopy on GPS-based movement data. Wildlife Society Bulletin 33, 935–941.
Effect of forest canopy on GPS-based movement data.Crossref | GoogleScholarGoogle Scholar |

Ehrenreich, J. H., and Bjugstad, A. J. (1966). Cattle grazing time is related to temperature and humidity. Journal of Range Management Archives 19, 141–142.
Cattle grazing time is related to temperature and humidity.Crossref | GoogleScholarGoogle Scholar |

Frair, J. L., Fieberg, J., Hebblewhite, M., Cagnacci, F., DeCesare, N. J., and Pedrotti, L. (2010). Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 365, 2187–2200.
Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data.Crossref | GoogleScholarGoogle Scholar |

Fryxell, J. M., Hazell, M., Börger, L., Dalziel, B. D., Haydon, D. T., Morales, J. M., McIntosh, T., and Rosatte, R. C. (2008). Multiple movement modes by large herbivores at multiple spatiotemporal scales. Proceedings of the National Academy of Sciences of the United States of America 105, 19114–19119.
Multiple movement modes by large herbivores at multiple spatiotemporal scales.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhsFamu77P&md5=f0f29d02dc019b6d35054dcd8d26d0b8CAS |

Ganskopp, D. (2001). Manipulating cattle distribution with salt and water in large arid-land pastures: a GPS/GIS assessment. Applied Animal Behaviour Science 73, 251–262.
Manipulating cattle distribution with salt and water in large arid-land pastures: a GPS/GIS assessment.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2sbkslarsA%3D%3D&md5=811ddb83283184d4df237ba65512e1ccCAS |

Ganskopp, D. C., and Johnson, D. D. (2007). GPS error in studies addressing animal movements and activities. Rangeland Ecology and Management 60, 350–358.
GPS error in studies addressing animal movements and activities.Crossref | GoogleScholarGoogle Scholar |

González, L. A., Bishop-Hurley, G., Henry, D., and Charmley, E. (2014). Wireless sensor networks to study, monitor and manage cattle in grazing systems. Animal Production Science 54, 1687–1693.
Wireless sensor networks to study, monitor and manage cattle in grazing systems.Crossref | GoogleScholarGoogle Scholar |

Greenwood, P. L., Paull, D. R., McNally, J., Kalinowski, T., Ebert, D., Little, B., Smith, D. V., Rahman, A., Valencia, P., Ingham, A. B., and Bishop-Hurley, G. J. (2017). Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle. Crop & Pasture Science 68, 1091–1099.
Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle.Crossref | GoogleScholarGoogle Scholar |

Hart, R. H., Bissio, J., Samuel, M. J., and Waggoner, J. W. (1993). Grazing systems, pasture size, and cattle grazing behavior, distribution and gains. Journal of Range Management 46, 81–87.
Grazing systems, pasture size, and cattle grazing behavior, distribution and gains.Crossref | GoogleScholarGoogle Scholar |

Herbel, C. H., and Nelson, A. B. (1966). Activities of Hereford and Santa Gertrudis cattle on a southern New Mexico range. Journal of Range Management 19, 173–176.
Activities of Hereford and Santa Gertrudis cattle on a southern New Mexico range.Crossref | GoogleScholarGoogle Scholar |

Hunt, L. P., McIvor, J. G., Grice, A. C., and Bray, S. G. (2014). Principles and guidelines for managing cattle grazing in the grazing lands of northern Australia: stocking rates, pasture resting, prescribed fire, paddock size and water points—a review. The Rangeland Journal 36, 105–119.
Principles and guidelines for managing cattle grazing in the grazing lands of northern Australia: stocking rates, pasture resting, prescribed fire, paddock size and water points—a review.Crossref | GoogleScholarGoogle Scholar |

Lewis, J. S., Rachlow, J. L., Garton, E. O., and Vierling, L. A. (2007). Effects of habitat on GPS collar performance: using data screening to reduce location error. Journal of Applied Ecology 44, 663–671.
Effects of habitat on GPS collar performance: using data screening to reduce location error.Crossref | GoogleScholarGoogle Scholar |

Malechek, J. C., and Smith, B. M. (1976). Behavior of range cows in response to winter weather. Journal of Range Management 29, 9–12.
Behavior of range cows in response to winter weather.Crossref | GoogleScholarGoogle Scholar |

Matthews, A., Ruykys, L., Ellis, B., FitzGibbon, S., Lunney, D., Crowther, M. S., Glen, A. S., Purcell, B., Moseby, K., Stott, J., Fletcher, D., Wimpenny, C., Allen, B. L., Van Bommel, L., Roberts, M., Davies, N., Green, K., Newsome, T., Ballard, G., Fleming, P., Dickman, C. R., Eberhart, A., Troy, S., McMahon, C., and Wiggins, N. (2013). The success of GPS collar deployments on mammals in Australia. Australian Mammalogy 35, 65–83.
The success of GPS collar deployments on mammals in Australia.Crossref | GoogleScholarGoogle Scholar |

McGinn, S. M., Flesch, T. K., Coates, T. W., Charmley, E., Chen, D., Bai, M., and Bishop-Hurley, G. (2015). Evaluating dispersion modeling options to estimate methane emissions from grazing beef cattle. Journal of Environmental Quality 44, 97–102.
Evaluating dispersion modeling options to estimate methane emissions from grazing beef cattle.Crossref | GoogleScholarGoogle Scholar |

Meat & Livestock Australia (2015). Practical and sustainable considerations for the mitigation of methane emissions in the northern Australian beef herd using nitrate supplements. Report No. 01200.031. Meat & Livestock Australia. Available at: www.mla.com.au/research-and-development/search-rd-reports/final-report-details/Environment-On-Farm/Practical-and-sustainable-considerations-for-the-mitigation-of-methane-emissions- in-the-northern-Australian-beef-herd-using-nitrate-supplements/3013 (accessed 6 May 2017).

Olson, D. K. (1996). Converting Earth-centered, Earth-fixed coordinates to geodetic coordinates. IEEE Transactions on Aerospace and Electronic Systems 32, 473–476.
Converting Earth-centered, Earth-fixed coordinates to geodetic coordinates.Crossref | GoogleScholarGoogle Scholar |

Olynik, M. C. (2002). Temporal characteristics of GPS error sources and their impact on relative positioning. MSc Thesis, University of Calgary, Calgary, AB, Canada.

Palmer, M. C. (2008). Calculation of distance travelled by fishing vessels using GPS positional data: a theoretical evaluation of the sources of error. Fisheries Research 89, 57–64.
Calculation of distance travelled by fishing vessels using GPS positional data: a theoretical evaluation of the sources of error.Crossref | GoogleScholarGoogle Scholar |

Pépin, D., Adrados, C., Mann, C., and Janeau, G. (2004). Assessing real daily distance traveled by ungulates using differential GPS locations. Journal of Mammalogy 85, 774–780.
Assessing real daily distance traveled by ungulates using differential GPS locations.Crossref | GoogleScholarGoogle Scholar |

Pinchak, W. E., Smith, M. A., Hart, R. H., and Waggoner, J. W. (1991). Beef cattle distribution patterns on foothill range. Journal of Range Management 44, 267–275.
Beef cattle distribution patterns on foothill range.Crossref | GoogleScholarGoogle Scholar |

PISC (2007). ‘Nutrient Requirements of Domesticated Ruminants.’ Primary Industries Standing Committee (CSIRO Publishing: Melbourne)

Pringle, H. J. R., and Landsberg, J. (2004). Predicting the distribution of livestock grazing pressure in rangelands. Austral Ecology 29, 31–39.
Predicting the distribution of livestock grazing pressure in rangelands.Crossref | GoogleScholarGoogle Scholar |

Ranacher, P., Brunauer, R., Trutschnig, W., Van der Spek, S., and Reich, S. (2016). Why GPS makes distances bigger than they are. International Journal of Geographical Information Science 30, 316–333.
Why GPS makes distances bigger than they are.Crossref | GoogleScholarGoogle Scholar |

Rowcliffe, J., Carbone, C., Kays, R., Kranstauber, B., and Jansen, P. A. (2012). Bias in estimating animal travel distance: the effect of sampling frequency. Methods in Ecology and Evolution 3, 653–662.
Bias in estimating animal travel distance: the effect of sampling frequency.Crossref | GoogleScholarGoogle Scholar |

Ruckebusch, Y., and Bueno, L. (1978). An analysis of ingestive behaviour and activity of cattle under field conditions. Applied Animal Ethology 4, 301–313.
An analysis of ingestive behaviour and activity of cattle under field conditions.Crossref | GoogleScholarGoogle Scholar |

Schlecht, E., Hülsebusch, C., Mahler, F., and Becker, K. (2004). The use of differentially corrected global positioning system to monitor activities of cattle at pasture. Applied Animal Behaviour Science 85, 185–202.
The use of differentially corrected global positioning system to monitor activities of cattle at pasture.Crossref | GoogleScholarGoogle Scholar |

Shaw, R. B., and Dodd, J. D. (1979). Cattle activities and preferences following strip application of herbicide. Journal of Range Management 32, 449–452.
Cattle activities and preferences following strip application of herbicide.Crossref | GoogleScholarGoogle Scholar |

Smith, D., Rahman, A., Bishop-Hurley, G. J., Hills, J., Shahriar, S., Henry, D., and Rawnsley, R. (2016). Behaviour classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. Computers and Electronics in Agriculture 131, 40–50.
Behaviour classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems.Crossref | GoogleScholarGoogle Scholar |

Tomkins, N. W., O’Reagain, P. J., Swain, D., Bishop-Hurley, G. J., and Charmley, E. (2009). Determining the effect of stocking rate on the spatial distribution of cattle for the subtropical savannas. The Rangeland Journal 31, 267–276.
Determining the effect of stocking rate on the spatial distribution of cattle for the subtropical savannas.Crossref | GoogleScholarGoogle Scholar |

u-blox (2008). NMEA, UBX Protocol specification: u-blox 5. GNSS Receiver Public Release specification sheet. u-blox, Thalwil, Switzerland.

Wark, T., Corke, P., Sikka, P., Klingbeil, L., Guo, Y., Crossman, C., Valencia, P., Swain, D., and Bishop-Hurley, G. J. (2007). Transforming agriculture through pervasive wireless sensor networks. IEEE Pervasive Computing 6, 50–57.
Transforming agriculture through pervasive wireless sensor networks.Crossref | GoogleScholarGoogle Scholar |