Movement and ranging behaviour of long-nosed potoroos (Potorous tridactylus) in south-west Victoria, Australia
Mark Le Pla
A * , Bronwyn A. Hradsky A , Julian Di Stefano B , Tamika C. Farley-Lehmer C , Emma K. Birnbaum C and Jack H. Pascoe C
A Quantitative and Applied Ecology Group, School of Agriculture, Food and Ecosystem Sciences, University of Melbourne, Parkville, Vic. 3010, Australia.
B Fire Ecology and Biodiversity Group, School of Agriculture, Food and Ecosystem Sciences, University of Melbourne, Creswick, Vic. 3363, Australia.
C Conservation Ecology Centre, Cape Otway, Vic. 3233, Australia.
Abstract
A comprehensive understanding of movements and space use can underpin the effective management of threatened species. GPS dataloggers can collect large amounts of high-quality movement data, and recent advances in statistical approaches allow for robust estimates of home range size to be generated. Until recently, technological and practical constraints have generally restricted the collection of movement data via GPS dataloggers to larger species. However, reductions in the size and weight of GPS dataloggers now allow for this technology to be applied to smaller species.
The aim of this study was to describe the home range and movement patterns of a nationally vulnerable, native Australian ground-dwelling mammal, the long-nosed potoroo (Potorous tridactylus), in south-west Victoria, mainland Australia.
We attached GPS dataloggers to 40 long-nosed potoroos between 2020 and 2022 and estimated home range size using dynamic Brownian Bridge movement models. We evaluated the influence of physiological factors such as body mass and sex on home range size and described patterns of home range overlap between and within sexes.
Mean home range sizes were estimated to be 13.73 ha (95% CI: 10.9–16.6) and 6.67 ha (95% CI: 5.49–7.85) for males and females respectively. Home range size scaled with body mass in males but not females, and ranges were largely overlapping – although there was some evidence of intrasexual spatial partitioning of core range areas in females.
Ours is the first application of GPS dataloggers to this species, and our home range estimates are over twice as large as other reported estimates for mainland Australia. Long-nosed potoroos may range across larger areas than previously predicted on mainland Australia.
This knowledge may be used to optimise the management of long-nosed potoroo populations before and after fire – a key threatening process for this species. Our study highlights the value of integrating GPS dataloggers and robust home range estimators when describing the movement ecology of a population.
Keywords: behaviour, conservation management, endangered species, geographical range, locomotion, reproductive strategy, spatial ecology, threatened species.
References
Ahumada JA, Hurtado J, Lizcano D (2013) Monitoring the status and trends of tropical forest terrestrial vertebrate communities from camera trap data: a tool for conservation. PLoS ONE 8(9), e73707 PMID:.
| Crossref | Google Scholar | PubMed |
Atwood TC, Weeks HP, Jr (2003) Spatial home-range overlap and temporal interaction in eastern coyotes: the influence of pair types and fragmentation. Canadian Journal of Zoology 81(9), 1589-1597.
| Crossref | Google Scholar |
Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67(1), 1-48.
| Crossref | Google Scholar |
Bennett AF (1993) Microhabitat use by the long-nosed potoroo, Potorous tridactylus, and other small mammals in remnant forest vegetation, south-western Victoria. Wildlife Research 20, 267-285.
| Crossref | Google Scholar |
Bennett AF, Baxter BJ (1989) Diet of the long-nosed potoroo, Potorous-tridactylus (Marsupialia, Potoroidae), in Southwestern Victoria. Australian Wildlife Research 16(3), 263-271.
| Crossref | Google Scholar |
Bennison A, Bearhop S, Bodey TW, Votier SC, Grecian WJ, Wakefield ED, Hamer KC, Jessopp M (2017) Search and foraging behaviors from movement data: a comparison of methods. Ecology and Evolution 8(1), 13-24 PMID:.
| Crossref | Google Scholar | PubMed |
Bjørneraas K, Van Moorter B, Rolandsen CM, Herfindal I (2010) Screening global positioning system location data for errors using animal movement characteristics. The Journal of Wildlife Management 74(6), 1361-1366.
| Crossref | Google Scholar |
Bohonak AJ (1999) Dispersal, gene flow, and population structure. The Quarterly Review of Biology 74(1), 21-45 PMID:.
| Crossref | Google Scholar | PubMed |
Bolker BM, Brooks ME, Clark CJ, Geange SW, Poulsen JR, Stevens MHH, White J-SS (2009) Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution 24(3), 127-135 PMID:.
| Crossref | Google Scholar | PubMed |
Bowler DE, Benton TG (2005) Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics. Biological Reviews 80(2), 205-225 PMID:.
| Crossref | Google Scholar | PubMed |
Buckland ST, Burnham KP, Augustin NH (1997) Model selection: an integral part of inference. Biometrics 53(2), 603-618.
| Crossref | Google Scholar |
Burbidge AA, McKenzie NL (1989) Patterns in the modern decline of Western Australia’s vertebrate fauna: causes and conservation implications. Biological Conservation 50, 143-198.
| Crossref | Google Scholar |
Bureau of Meteorology (2020) Climate data online. Available at http://www.bom.gov.au/climate/data/index.shtml [Accessed June 2020]
Börger L, Franconi N, De Michele G, Gantz A, Meschi F, Manica A, Lovari S, Coulson T (2006) Effects of sampling regime on the mean and variance of home range size estimates. Journal of Animal Ecology 75, 1393-1405 PMID:.
| Crossref | Google Scholar | PubMed |
Cagnacci F, Boitani L, Powell RA, Boyce MS (2010) Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Philosophical Transactions of the Royal Society B: Biological Sciences 365, 2157-2162.
| Crossref | Google Scholar |
Cain JW, III, Krausman PR, Jansen BD, Morgart JR (2005) Influence of topography and GPS fix interval on GPS collar performance. Wildlife Society Bulletin 33(3), 926-934.
| Crossref | Google Scholar |
Calabrese JM, Fleming CH, Gurarie E (2016) ctmm: an r package for analyzing animal relocation data as a continuous-time stochastic process. Methods in Ecology and Evolution 7(9), 1124-1132.
| Crossref | Google Scholar |
Claridge AW, Cork SJ (1994) Nutritional-value of hypogeal fungal sporocarps for the long-nosed potoroo (Potorous-tridactylus), a forest-dwelling mycophagous marsupial. Australian Journal of Zoology 42(6), 701-710.
| Crossref | Google Scholar |
Claridge AW, Tanton MT, Seebeck JH, Cork SJ, Cunningham RB (1992) Establishment of ectomycorrhizae on the roots of two species of Eucalyptus from fungal spores contained in the faeces of the long-nosed potoroo (Potorous tridactylus). Australian Journal of Ecology 17, 207-217.
| Crossref | Google Scholar |
Claridge AW, Tanton MT, Cunningham RB (1993) Hypogeal fungi in the diet of the long-nosed potoroo (Potorous tridactylus) in mixed-species and regrowth eucalypt forest stands in south-eastern Australia. Wildlife Research 20(3), 321-338.
| Crossref | Google Scholar |
Coetsee A, Harley D, Lynch M, Coulson G, de Milliano J, Cooper M, Groenewegen R (2016) Radio-transmitter attachment methods for monitoring the endangered eastern barred bandicoot (Perameles gunnii). Australian Mammalogy 38(2), 221-231.
| Crossref | Google Scholar |
DeAngelis DL, Mooij WM (2005) Individual-based modeling of ecological and evolutionary processes. Annual Review of Ecology, Evolution, and Systematics 36, 147-168.
| Crossref | Google Scholar |
Dussault C, Ouellet J-P, Courtois R, Huot J, Breton L, Jolicoeur H (2005) Linking moose habitat selection to limiting factors. Ecography 28, 619-628.
| Crossref | Google Scholar |
D’eon RG, 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.
| Crossref | Google Scholar |
Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40, 677-697.
| Crossref | Google Scholar |
Fieberg J (2007) Kernel density estimators of home range: smoothing and the autocorrelation red herring. Ecology 88(4), 1059-1066 PMID:.
| Crossref | Google Scholar | PubMed |
Fisher DO, Owens IPF (2000) Female home range size and the evolution of social organization in macropod marsupials. Journal of Animal Ecology 69(6), 1083-1098.
| Crossref | Google Scholar |
Fleming CH, Calabrese JM (2022) ctmm: continuous-time movement modelling. R package version 1.0.0. Available at https://CRAN.R-project.org/package=ctmm
Fleming CH, Calabrese JM, Mueller T, Olson KA, Leimgruber P, Fagan WF (2014) From fine-scale foraging to home ranges: a semivariance approach to identifying movement modes across spatiotemporal scales. The American Naturalist 183(5), E154-E167 PMID:.
| Crossref | Google Scholar | PubMed |
Fleming CH, Noonan MJ, Medici EP, Calabrese JM (2019) Overcoming the challenge of small effective sample sizes in home-range estimation. Methods in Ecology and Evolution 10(10), 1679-1689.
| Crossref | Google Scholar |
Frankham GJ, Reed RL, Fletcher TP, Handasyde KA (2011) Population ecology of the long-nosed potoroo (Potorous tridactylus) on French Island, Victoria. Australian Mammalogy 33, 73-81.
| Crossref | Google Scholar |
Frankham GJ, Reed RL, Eldridge MDB, Handasyde KA (2012) The genetic mating system of the long-nosed potoroo (Potorous tridactylus) with notes on male strategies for securing paternity. Australian Journal of Zoology 60, 225-234.
| Crossref | Google Scholar |
Frankham GJ, Handasyde KA, Norton M, Murray A, Eldridge MDB (2014) Molecular detection of intra-population structure in a threatened potoroid, Potorous tridactylus: conservation management and sampling implications. Conservation Genetics 15, 547-560.
| Crossref | Google Scholar |
Frankham GJ, Handasyde KA, Eldridge MDB (2016) Evolutionary and contemporary responses to habitat fragmentation detected in a mesic zone marsupial, the long-nosed potoroo (Potorous tridactylus) in south-eastern Australia. Journal of Biogeography 43(4), 653-665.
| Crossref | Google Scholar |
Girard I, Ouellet J-P, Courtois R, Dussault C, Breton L (2002) Effects of sampling effort based on GPS telemetry on home-range size estimations. The Journal of Wildlife Management 66, 1290-1300.
| Crossref | Google Scholar |
Hall J, Rose K, Austen J, Egan S, Bilney R, Kambouris P, MacGregor C, Dexter N (2021) Baseline health parameters for a newly established population of long-nosed potoroo (Potorous tridactylus) at Booderee National Park, Australia. Journal of Wildlife Diseases 57(3), 515-524 PMID:.
| Crossref | Google Scholar | PubMed |
Harris S, Cresswell WJ, Forde PG, Trewhella WJ, Woollard T, Wray S (1990) Home-range analysis using radio-tracking data – a review of problems and techniques particularly as applied to the study of mammals. Mammal Review 20, 97-123.
| Crossref | Google Scholar |
Hartig F (2020) DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models. R package 0.3.2.0. Available at https://CRAN.R-project.org/package=DHARMa
Hebblewhite M, Haydon DT (2010) Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology. Philosophical Transactions of the Royal Society B: Biological Sciences 365, 2303-2312.
| Crossref | Google Scholar |
Horne JS, Garton EO, Krone SM, Lewis JS (2007) Analysing animal movements using Brownian bridges. Ecology 88(9), 2354-2363 PMID:.
| Crossref | Google Scholar | PubMed |
Hradsky BA (2020) Conserving Australia’s threatened native mammals in predator-invaded, fire-prone landscapes. Wildlife Research 47, 1-15.
| Crossref | Google Scholar |
Hradsky BA, Kelly LT, Robley A, Wintle BA (2019) FoxNet: an individual-based model framework to support management of an invasive predator, the red fox. Journal of Applied Ecology 56(6), 1460-1470.
| Crossref | Google Scholar |
Hughes RL (1964) Sexual development and spermatozoon morphology in the male macropod marsupial Potorous tridactylus (Kerr.). Australian Journal of Zoology 12, 42-51.
| Crossref | Google Scholar |
Kitchener DJ (1973) Notes on home range and movement in two small macropods, the potoroo (Potorous apicalis) and the quokka (Setonix brachyurus). Mammalia 37, 231-240.
| Crossref | Google Scholar |
Kranstauber B, Kays R, LaPoint SD, Wikelski M, Safi K (2012) A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. Journal of Animal Ecology 81, 738-746 PMID:.
| Crossref | Google Scholar | PubMed |
Kranstauber B, Smolla M, Scharf AK (2020) Move: visualising and analysing animal track data. R Package version 4.0.2. Available at https://CRAN.R-project.org/package=move
Langrock R, King R, Matthiopoulos J, Thomas L, Fortin D, Morales JM (2012) Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions. Ecology 93(11), 2336-2342 PMID:.
| Crossref | Google Scholar | PubMed |
Legge S, Rumpff L, Woinarski JCZ, Whiterod NS, Ward M, Southwell DG, Scheele BC, Nimmo DG, Lintermans M, Geyle HM, Garnett ST, Hayward-Brown B, Ensbey M, Ehmke G, Ahyong ST, Blackmore CJ, Bower DS, Brizuela-Torres D, Burbidge AH, Burns PA, Butler G, Catullo R, Chapple DG, Dickman CR, Doyle KE, Ferris J, Fisher D, Gallagher R, Gillespie GR, Greenlees MJ, Hohnen R, Hoskin CJ, Hunter D, Jolly C, Kennard M, King A, Kuchinke D, Law B, Lawler I, Lawler S, Loyn R, Lunney D, Lyon J, MacHunter J, Mahony M, Mahony S, McCormack RB, Melville J, Menkhorst P, Michael D, Mitchell N, Mulder E, Newell D, Pearce L, Raadik TA, Rowley JJL, Sitters H, Spencer R, Valavi R, West M, Wilkinson DP, Zukowski S, Nolan R (2022) The conservation impacts of ecological disturbance: time-bound estimates of population loss and recovery for fauna affected by the 2019-2020 Australian megafires. Global Ecology and Biogeography 31, 2085-2104.
| Crossref | Google Scholar |
Lindstedt SL, Miller BJ, Buskirk SW (1986) Home range, time, and body size in mammals. Ecology 67(2), 413-418.
| Crossref | Google Scholar |
Long KI (2001) Spatio-temporal interactions among male and female long-nosed potoroos, Potorous tridactylus (Marsupialia : Macropodoidea): mating system implications. Australian Journal of Zoology 49(1), 17-26.
| Crossref | Google Scholar |
MacKenzie DI, Nichols JD, Lachman GB, Droege S, Royle JA, Langtimm CA (2002) Estimating site occupancy rates when detection probabilities are less than one. Ecology 83(8), 2248-2255.
| Crossref | Google Scholar |
McGregor HW, Legge S, Jones ME, Johnson CN (2014) Landscape management of fire and grazing regimes alters the fine-scale habitat utilisation by feral cats. PLoS ONE 9(10), e109097 PMID:.
| Crossref | Google Scholar | PubMed |
McHugh D, Goldingay RL, Link J, Letnic M (2019) Habitat and introduced predators influence the occupancy of small threatened macropods in subtropical Australia. Ecology and Evolution 9(11), 6300-6317 PMID:.
| Crossref | Google Scholar | PubMed |
McHugh D, Goldingay RL, Parkyn J, Goodwin A, Letnic M (2020) Short-term response of threatened small macropods and their predators to prescribed burns in subtropical Australia. Ecological Management & Restoration 21(2), 97-107.
| Crossref | Google Scholar |
McNab BK (1963) Bioenergetics and the determination of home range size. The American Naturalist 97(894), 133-140.
| Crossref | Google Scholar |
Merrill SB, Mech LD (2003) The usefulness of GPS telemetry to study wolf circadian and social activity. Wildlife Society Bulletin 31(4), 947-960.
| Google Scholar |
Nilsen EB, Pedersen S, Linnell JDC (2008) Can minimum convex polygon home ranges be used to draw biologically meaningful conclusions? Ecological Research 23(3), 635-639.
| Crossref | Google Scholar |
Norton MA, Claridge AW, French K, Prentice A (2010) Population biology of the long-nosed potoroo (Potorous tridactylus) in the Southern Highlands of New South Wales. Australian Journal of Zoology 58, 362-368.
| Crossref | Google Scholar |
Norton MA, French K, Claridge AW (2011) Habitat associations of the long-nosed potoroo (Potorous tridactylus) at multiple spatial scales. Australian Journal of Zoology 58(5), 303-316.
| Crossref | Google Scholar |
Pocknee CA, Legge SM, McDonald J, Fisher DO (2023) Modeling mammal response to fire based on species’ traits. Conservation Biology 37, e14062.
| Crossref | Google Scholar |
Pons P, Lambert B, Rigolot E, Prodon R (2003) The effects of grassland management using fire on habitat occupancy and conservation of birds in a mosaic landscape. Biodiversity and Conservation 12, 1843-1860.
| Crossref | Google Scholar |
Price-Rees SJ, Brown GP, Shine R (2013) Habitat selection by bluetongue lizards (Tiliqua, Scincidae) in tropical Australia: a study using GPS telemetry. Animal Biotelemetry 1, 7.
| Crossref | Google Scholar |
R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at https://www.R-project.org/
Robley A, Gormley AM, Forsyth DM, Triggs B (2014) Long-term and large-scale control of the introduced red fox increases native mammal occupancy in Australian forests. Biological Conservation 180, 262-269.
| Crossref | Google Scholar |
Robley A, Moloney P, Moxham C, Neave G, Friend G, Fraser I (2016) The effects of interaction between planned burning and foxes on the presence of native mammals. Technical Report Series No. 273. Arthur Rylah Institute for Environmental Research, Department of Environment, Land, Water and Planning, Heidelberg, Victoria.
Schwagmeyer PL (1988) Scramble-competition polygyny in an asocial mammal: male mobility and mating success. The American Naturalist 131, 885-892.
| Crossref | Google Scholar |
Stevenson CD, Ferryman M, Nevin OT, Ramsey AD, Bailey S (2013) Using GPS telemetry to validate least-cost modeling of gray squirrel (Sciurus carolinensis) movement within a fragmented landscape. Ecology and Evolution 3(7), 2350-2361 PMID:.
| Crossref | Google Scholar | PubMed |
Swihart RK, Slade NA, Bergstrom BJ (1988) Relating body size to the rate of home range use in mammals. Ecology 69(2), 393-399.
| Crossref | Google Scholar |
Tomkiewicz SM, Fuller MR, Kie JG, Bates KK (2010) Global positioning system and associated technologies in animal behaviour and ecological research. Philosophical Transactions of the Royal Society B: Biological Sciences 365, 2163-2176.
| Crossref | Google Scholar |
Ward M, Tulloch A, Stewart R, Possingham HP, Legge S, Gallagher RV, Graham EM, Southwell D, Keith D, Dixon K, Yong C, Carwardine J, Cronin T, Reside AE, Watson JEM (2022) Restoring habitat for fire-impacted species’ across degraded Australian landscapes. Environmental Research Letters 17(8), 084036.
| Crossref | Google Scholar |
Woinarski JCZ, Burbidge AA, Harrison PL (2015) Ongoing unraveling of a continental fauna: decline and extinction of Australian mammals since European settlement. Proceedings of the National Academy of Sciences 112(15), 4531-4540.
| Crossref | Google Scholar |
Worton BJ (1989) Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70(1), 164-168.
| Crossref | Google Scholar |
Zhang J, Rayner M, Vickers S, Landers T, Sagar R, Stewart J, Dunphy B (2019) GPS telemetry for small seabirds: using hidden Markov models to infer foraging behaviour of Common Diving Petrels (Pelecanoides urinatrix urinatrix). Emu – Austral Ornithology 119, 126-137.
| Crossref | Google Scholar |
