Uncertainty Analysis of Step-Selection Functions: The Effect of Model Parameters on Inferences about the Relationship between Animal Movement and the Environment

  • Paul Holloway
  • Jennifer A. Miller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8728)


As spatio-temporal movement data is becoming more widely available for analysis in GIS and related areas, new methods to analyze them have been developed. A step-selection function (SSF) is a recently developed method used to quantify the effect of environmental factors on animal movement. This method is gaining traction as an important conservation tool; however there have been no studies that have investigated the uncertainty associated with subjective model decisions. In this research we used two types of animals – oilbirds and hyenas – to examine how systematically altering user decisions of model parameters influences the main outcome of an SSF, the coefficients that quantify the movement-environment relationship. We found that user decisions strongly influence the results of step-selection functions and any subsequent inferences about animal movement and environmental interactions. Differences were found between categories for every variable used in the analysis and the results presented here can help to clarify the sources of uncertainty in SSF model decisions.


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  1. 1.
    Miller, H.J.: A measurement theory for time geography. Geogr. Anal. 37, 17–45 (2005)CrossRefGoogle Scholar
  2. 2.
    Cagnacci, F., Boitani, L., Powell, R.A., Boyce, M.S.: Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Philos. T. Roy. Soc. B. 365, 2157–2162 (2010)CrossRefGoogle Scholar
  3. 3.
    Gudmundsson, J., Laube, P., Wolle, T.: Computational movement analysis. In: Springer Handbook of Geographic Information, pp. 423–438. Springer, Heidelberg (2012)Google Scholar
  4. 4.
    Crosetto, M., Tarantola, S.: Uncertainty and sensitivity analysis: tools for GIS-based model implementation. Int. J. Geogr. Inf. Sci. 15, 415–437 (2001)CrossRefGoogle Scholar
  5. 5.
    Laube, P., Purves, R.S.: How fast is a cow? Cross-Scale Analysis of Movement Data. Trans. GIS. 15, 401–418 (2011)CrossRefGoogle Scholar
  6. 6.
    Manly, B.F., McDonald, L.L., Thomas, D.L., McDonald, T.L., Erickson, W.P.: Resource selection by animals: statistical design and analysis for field studies. Springer (2002)Google Scholar
  7. 7.
    Fortin, D., Beyer, H.L., Boyce, M.S., Smith, D.W., Duchesne, T., Mao, J.S.: Wolves influence elk movements: behavior shapes a trophic cascade in Yellowstone National Park. Ecology 86, 1320–1330 (2005)CrossRefGoogle Scholar
  8. 8.
    Forester, J.D., Im, H.K., Rathouz, P.J.: Accounting for animal movement in estimation of resource selection functions: sampling and data analysis. Ecology 90, 3554–3565 (2009)CrossRefGoogle Scholar
  9. 9.
    Gillies, C.S., Beyer, H.L., St. Clair, C.C.: Fine-scale movement decisions of tropical forest birds in a fragmented landscape. Ecol. Appl. 21, 944–954 (2011)CrossRefGoogle Scholar
  10. 10.
    Latham, A.D.M., Latham, M.C., Boyce, M.S., Boutin, S.: Movement responses by wolves to industrial linear features and their effect on woodland caribou in northeastern Alberta. Ecol. Appl. 21, 2854–2865 (2011)CrossRefGoogle Scholar
  11. 11.
    Thurfjell, H., Ciuti, S., Boyce, M.S.: Applications of step-selection functions in ecology and conservation. Mov. Ecol. 2, 4 (2014)CrossRefGoogle Scholar
  12. 12.
    Beyer, H.L.: Geospatial Modeling Environment, (accessed December 12, 2013)
  13. 13.
    Coulon, A., Morellet, N., Goulard, M., Cargnelutti, B., Angibault, J.-M., Hewison, A.M.: Inferring the effects of landscape structure on roe deer (Capreolus capreolus) movements using a step selection function. Landsc. Ecol. 23, 603–614 (2008)CrossRefGoogle Scholar
  14. 14.
    Squires, J.R., DeCesare, N.J., Olson, L.E., Kolbe, J.A., Hebblewhite, M., Parks, S.A.: Combining resource selection and movement behavior to predict corridors for Canada lynx at their southern range periphery. Biol. Conserv. 157, 187–195 (2013)CrossRefGoogle Scholar
  15. 15.
    Bjørneraas, K., Solberg, E.J., Herfindal, I., Moorter, B.V., Rolandsen, C.M., Tremblay, J.-P., Skarpe, C., Sæther, B.-E., Eriksen, R., Astrup, R.: Moose Alces alces habitat use at multiple temporal scales in a human-altered landscape. Wildl. Biol. 17, 44–54 (2011)CrossRefGoogle Scholar
  16. 16.
    Lele, S.R., Keim, J.L.: Weighted distributions and estimation of resource selection probability functions. Ecology 87, 3021–3028 (2006)CrossRefGoogle Scholar
  17. 17.
    Barbet-Massin, M., Jiguet, F., Albert, C.H., Thuiller, W.: Selecting pseudo-absences for species distribution models: how, where and how many? Methods in Ecology and Evolution 3, 327–338 (2012)CrossRefGoogle Scholar
  18. 18.
    Northrup, J.M., Hooten, M.B., Anderson Jr, C.R., Wittemyer, G.: Practical guidance on characterizing availability in resource selection functions under a use-availability design. Ecology 94, 1456–1463 (2013)CrossRefGoogle Scholar
  19. 19.
    Northrup, J.M., Pitt, J., Muhly, T.B., Stenhouse, G.B., Musiani, M., Boyce, M.S.: Vehicle traffic shapes grizzly bear behavior on a multiple-use landscape. J. Appl. Ecol. 49, 1159–1167 (2012)CrossRefGoogle Scholar
  20. 20.
    Sawyer, H., Nielson, R.M., Lindzey, F., McDonald, L.L.: Winter habitat selection of mule deer before and during development of a natural gas field. J. Wildlife Manage. 70, 396–403 (2006)CrossRefGoogle Scholar
  21. 21.
    Lindberg, M.S., Walker, J.: Satellite telemetry in avian research and management: sample size considerations. J. Wildl. Manag. 71, 1002–1009 (2007)CrossRefGoogle Scholar
  22. 22.
    Pereboom, V., Mergey, M., Villerette, N., Helder, R., Gerard, J.-F., Lode, T.: Movement patterns, habitat selection, and corridor use of a typical woodland-dweller species, the European pine marten (Martes martes), in fragmented landscape. Can. J. Zool. 86, 983–991 (2008)CrossRefGoogle Scholar
  23. 23.
    Gschweng, M., Kalko, E.K., Berthold, P., Fiedler, W., Fahr, J.: Multi-temporal distribution modeling with satellite tracking data: predicting responses of a long-distance migrant to changing environmental conditions. J. Appl. Ecol. 49, 803–813 (2012)CrossRefGoogle Scholar
  24. 24.
    Holland, R.A., Wikelski, M., Kümmeth, F., Bosque, C.: The secret life of oilbirds: new insights into the movement ecology of a unique avian frugivore. PLoS One 4, e8264 (2009)Google Scholar
  25. 25.
    Data from: The secret life of oilbirds: new insights into the movement ecology of a unique avian frugivore,
  26. 26.
    Maude, G.: The spatial ecology and foraging behavior of the brown hyaena (Hyaena brunnea) (Doctoral dissertation, University of Bristol) (2010)Google Scholar
  27. 27.
    Land Processes Distributed Active Archive Center (LP DAAC) at the USGS/Earth Resources Observation and Science (EROS) Center, Siox Falls, South Dakota (2013)Google Scholar
  28. 28.
    Ramankutty, N., Evan, A.T., Mondreda, C., Foley, J.A.: Global Agricultural Lands: Croplands (2000); Data distributed by the Socioeconomic Data and Applications Center (SEDAC), (2010) (accessed January 3, 2014)
  29. 29.
    Center for International Earth Science Information Network - CIESIN - Columbia University and Information Technology Outreach Services - ITOS - University of Georgia. Global Roads Open Access Data Set, Version 1 (gROADSv1). NASA Socioecomonic Data and Applications Center (SEDAC), Palisades (2013), (accessed on January 3, 2014)
  30. 30.
    Therneau, T.: A package for survival analysis in S. R package version 2.37.4. (2013)Google Scholar
  31. 31.
    Cohen, J.: Statistical power analysis for the behavioral sciences. Psychology Press (1988)Google Scholar
  32. 32.
    Chekiewicz, C.L.B., St Clair, C.C., Boyce, M.S.: Corridors for conservation: integrating pattern and process. Annu. Rev. Ecol. Evo. Syst. 37, 317–342Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paul Holloway
    • 1
  • Jennifer A. Miller
    • 1
  1. 1.Department of Geography and the EnvironmentUniversity of Texas at AustinUSA

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