Search Results - "Kranstauber, B."

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  1. 1

    Global aerial flyways allow efficient travelling by Kranstauber, B, Weinzierl, R, Wikelski, M, Safi, K, Norris, Ryan

    Published in Ecology letters (01-12-2015)
    “…Birds migrate over vast distances at substantial costs. The highly dynamic nature of the air makes the selection of the best travel route difficult. We…”
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    Journal Article
  2. 2

    The Movebank data model for animal tracking by Kranstauber, B., Cameron, A., Weinzerl, R., Fountain, T., Tilak, S., Wikelski, M., Kays, R.

    “…Studies of animal movement are rapidly increasing as tracking technologies make it possible to collect more data of a larger variety of species. Comparisons of…”
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    Journal Article
  3. 3

    High-resolution spatiotemporal forecasting of the European crane migration by De Koning, K., Nilsson, L., Månsson, J., Ovaskainen, O., Kranstauber, B., Arp, M., Schakel, J.K.

    Published in Ecological modelling (01-12-2024)
    “…•Observations of speed and direction improve short-term bird migration forecasts.•Wind forecasts further improve the range of individual bird migration…”
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    Journal Article
  4. 4

    Quantifying levels of animal activity using camera trap data by Rowcliffe, J. Marcus, Kays, Roland, Kranstauber, Bart, Carbone, Chris, Jansen, Patrick A., Fisher, Diana

    Published in Methods in ecology and evolution (01-11-2014)
    “…Summary Activity level (the proportion of time that animals spend active) is a behavioural and ecological metric that can provide an indicator of energetics,…”
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    Journal Article
  5. 5

    Quantifying the sensitivity of camera traps: an adapted distance sampling approach by Marcus Rowcliffe, J., Carbone, Chris, Jansen, Patrick A., Kays, Roland, Kranstauber, Bart

    Published in Methods in ecology and evolution (01-10-2011)
    “…Summary 1. Abundance estimation is a pervasive goal in ecology. The rate of detection by motion‐sensitive camera traps can, in principle, provide information…”
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    Journal Article
  6. 6

    Wildlife speed cameras: measuring animal travel speed and day range using camera traps by Rowcliffe, J. Marcus, Jansen, Patrick A., Kays, Roland, Kranstauber, Bart, Carbone, Chris, Pettorelli, Nathalie

    Published in Remote sensing in ecology and conservation (01-06-2016)
    “…Travel speed (average speed of travel while active) and day range (average speed over the daily activity cycle) are behavioural metrics that influence…”
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    Journal Article
  7. 7

    Bias in estimating animal travel distance: the effect of sampling frequency by Marcus Rowcliffe, J., Carbone, Chris, Kays, Roland, Kranstauber, Bart, Jansen, Patrick A.

    Published in Methods in ecology and evolution (01-08-2012)
    “…Summary 1. The distance travelled by animals is an important ecological variable that links behaviour, energetics and demography. It is usually measured by…”
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    Journal Article
  8. 8

    Scatter hoarding by the Central American agouti: a test of optimal cache spacing theory by Gálvez, Dumas, Kranstauber, Bart, Kays, Roland W., Jansen, Patrick A.

    Published in Animal behaviour (01-12-2009)
    “…Optimal cache spacing theory predicts that scatter-hoarding animals store food at a density that balances the gains of reducing cache robbery against the costs…”
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    Journal Article
  9. 9

    Camera traps as sensor networks for monitoring animal communities by Kays, R., Kranstauber, B., Jansen, P., Carbone, C., Rowcliffe, M., Fountain, T., Tilak, S.

    “…Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases,…”
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    Conference Proceeding