Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model
Assessment of the Finnish wolf population relies on multiple sources of information. This paper describes how Bayesian inference is used to pool the information contained in different data sets (point observations, non-invasive genetics, known mortalities) for the estimation of the number of territo...
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ftluke:oai:jukuri.luke.fi:10024/552336 2023-10-09T21:50:35+02:00 Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model Mäntyniemi, Samu Helle, Inari Kojola, Ilpo orcid:0000-0002-3367-6280 4100110810 Luonnonvarakeskus 16 p. true https://jukuri.luke.fi/handle/10024/552336 en eng Springer Science and Business Media LLC European Journal of Wildlife Research 10.1007/s10344-022-01615-5 1612-4642 1439-0574 6 68 70 https://jukuri.luke.fi/handle/10024/552336 URN:NBN:fi-fe2022101161531 CC BY 4.0 Markov chain Monte Carlo Hierarchical modelling Population dynamics Canis lupus Monitoring Abundance publication fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| fi=Publisher's version|sv=Publisher's version|en=Publisher's version| ftluke 2023-09-12T20:28:25Z Assessment of the Finnish wolf population relies on multiple sources of information. This paper describes how Bayesian inference is used to pool the information contained in different data sets (point observations, non-invasive genetics, known mortalities) for the estimation of the number of territories occupied by family packs and pairs. The output of the assessment model is a joint probability distribution, which describes current knowledge about the number of wolves within each territory. The joint distribution can be used to derive probability distributions for the total number of wolves in all territories and for the pack status within each territory. Most of the data set comprises of both voluntary-provided point observations and DNA samples provided by volunteers and research personnel. The new method reduces the role of expert judgement in the assessment process, providing increased transparency and repeatability. 2022 Article in Journal/Newspaper Canis lupus Natural Resources Institute Finland: Jukuri |
institution |
Open Polar |
collection |
Natural Resources Institute Finland: Jukuri |
op_collection_id |
ftluke |
language |
English |
topic |
Markov chain Monte Carlo Hierarchical modelling Population dynamics Canis lupus Monitoring Abundance |
spellingShingle |
Markov chain Monte Carlo Hierarchical modelling Population dynamics Canis lupus Monitoring Abundance Mäntyniemi, Samu Helle, Inari Kojola, Ilpo Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model |
topic_facet |
Markov chain Monte Carlo Hierarchical modelling Population dynamics Canis lupus Monitoring Abundance |
description |
Assessment of the Finnish wolf population relies on multiple sources of information. This paper describes how Bayesian inference is used to pool the information contained in different data sets (point observations, non-invasive genetics, known mortalities) for the estimation of the number of territories occupied by family packs and pairs. The output of the assessment model is a joint probability distribution, which describes current knowledge about the number of wolves within each territory. The joint distribution can be used to derive probability distributions for the total number of wolves in all territories and for the pack status within each territory. Most of the data set comprises of both voluntary-provided point observations and DNA samples provided by volunteers and research personnel. The new method reduces the role of expert judgement in the assessment process, providing increased transparency and repeatability. 2022 |
author2 |
orcid:0000-0002-3367-6280 4100110810 Luonnonvarakeskus |
format |
Article in Journal/Newspaper |
author |
Mäntyniemi, Samu Helle, Inari Kojola, Ilpo |
author_facet |
Mäntyniemi, Samu Helle, Inari Kojola, Ilpo |
author_sort |
Mäntyniemi, Samu |
title |
Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model |
title_short |
Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model |
title_full |
Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model |
title_fullStr |
Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model |
title_full_unstemmed |
Assessment of the residential Finnish wolf population combines DNA captures, citizen observations and mortality data using a Bayesian state-space model |
title_sort |
assessment of the residential finnish wolf population combines dna captures, citizen observations and mortality data using a bayesian state-space model |
publisher |
Springer Science and Business Media LLC |
url |
https://jukuri.luke.fi/handle/10024/552336 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
European Journal of Wildlife Research 10.1007/s10344-022-01615-5 1612-4642 1439-0574 6 68 70 https://jukuri.luke.fi/handle/10024/552336 URN:NBN:fi-fe2022101161531 |
op_rights |
CC BY 4.0 |
_version_ |
1779313640741011456 |