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Identifying territories using presence-only citizen science data: An application to the Finnish wolf population

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Listed:
  • Karppinen, Santeri
  • Rajala, Tuomas
  • Mäntyniemi, Samu
  • Kojola, Ilpo
  • Vihola, Matti

Abstract

Citizens, community groups and local institutions participate in voluntary biological monitoring of population status and trends by providing species data e.g. for regulations and conservation. Sophisticated statistical methods are required to unlock the potential of such data in the assessment of wildlife populations.

Suggested Citation

  • Karppinen, Santeri & Rajala, Tuomas & Mäntyniemi, Samu & Kojola, Ilpo & Vihola, Matti, 2022. "Identifying territories using presence-only citizen science data: An application to the Finnish wolf population," Ecological Modelling, Elsevier, vol. 472(C).
    • Handle: RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022002046
    DOI: 10.1016/j.ecolmodel.2022.110101
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    References listed on IDEAS

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    1. Paul Fearnhead & Peter Clifford, 2003. "On‐line inference for hidden Markov models via particle filters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(4), pages 887-899, November.
    2. Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342, June.
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