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

Santeri Karppinen, Tuomas Rajala, Samu Mäntyniemi, Ilpo Kojola and Matti Vihola

Ecological Modelling, 2022, vol. 472, issue C

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.

Keywords: Citizen science data; Bayesian statistics; Sequential Monte Carlo; Spatio-temporal model; Territory identification; Presence-only data (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022002046

DOI: 10.1016/j.ecolmodel.2022.110101

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