Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population

Background: Carnivores are re-establishing in many human-populated areas, where their presence is often contentious. Reaching consensus over management decisions is often hampered by a dispute about the size of the local carnivore population. Understanding the reproductive dynamics and individual mo...

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Main Authors: Granroth-Wilding, Hanna, Primmer, Craig, Lindqvist, Meri, Poutanen, Jenni, Thalmann, Olaf, Aspi, Jouni, Harmoinen, Jenni, Kojola, Ilpo, Laaksonen, Toni
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://doi.org/10.5061/dryad.76tr6
id ftzenodo:oai:zenodo.org:4990640
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4990640 2024-09-15T18:01:12+00:00 Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population Granroth-Wilding, Hanna Primmer, Craig Lindqvist, Meri Poutanen, Jenni Thalmann, Olaf Aspi, Jouni Harmoinen, Jenni Kojola, Ilpo Laaksonen, Toni 2017-12-12 https://doi.org/10.5061/dryad.76tr6 unknown Zenodo https://doi.org/10.1186/s12898-017-0154-8 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.76tr6 oai:zenodo.org:4990640 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode genetic monitoring pedigree reconstruction human-wildlife conflict recolonization Canis lupus info:eu-repo/semantics/other 2017 ftzenodo https://doi.org/10.5061/dryad.76tr610.1186/s12898-017-0154-8 2024-07-27T06:13:15Z Background: Carnivores are re-establishing in many human-populated areas, where their presence is often contentious. Reaching consensus over management decisions is often hampered by a dispute about the size of the local carnivore population. Understanding the reproductive dynamics and individual movements of the carnivores can provide support for management decisions, but individual-level information can be difficult to obtain from elusive, wide-ranging species. Non-invasive genetic sampling can yield such information, but makes subsequent reconstruction of population history challenging due to incomplete population coverage and error-prone data. Here, we combine a collaborative, volunteer-based sampling scheme with Bayesian pedigree reconstruction to describe the pack dynamics of an establishing grey wolf (Canis lupus) population in south-west Finland, where wolf breeding was recorded in 2006 for the first time in over a century. Results: Using DNA extracted mainly from faeces collected since 2008, we identified 81 individual wolves and assigned credible full parentages to 70 of these and partial parentages to a further 9, revealing 7 breeding pairs. Individuals used a range of strategies to obtain breeding opportunities, including dispersal to established or new packs, long-distance migration and inheriting breeding roles. Gene flow occurred between all packs but inbreeding events were rare. Conclusions: These findings demonstrate that characterizing ongoing pack dynamics can provide detailed, locally-relevant insight into the ecology of contentious species such as the wolf. Involving various stakeholders in data collection makes these results more likely to be accepted as unbiased and hence reliable grounds for management decisions. Wolf monitoring genotype and phenotype data This file contains the consensus multi-locus genotypes of all individual wolves identified and fitted in the pedigree, along with phenotypic data used to inform the pedigree. WolfMonitoring_GenAndPhenData.csv Other/Unknown Material Canis lupus Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic genetic monitoring
pedigree reconstruction
human-wildlife conflict
recolonization
Canis lupus
spellingShingle genetic monitoring
pedigree reconstruction
human-wildlife conflict
recolonization
Canis lupus
Granroth-Wilding, Hanna
Primmer, Craig
Lindqvist, Meri
Poutanen, Jenni
Thalmann, Olaf
Aspi, Jouni
Harmoinen, Jenni
Kojola, Ilpo
Laaksonen, Toni
Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
topic_facet genetic monitoring
pedigree reconstruction
human-wildlife conflict
recolonization
Canis lupus
description Background: Carnivores are re-establishing in many human-populated areas, where their presence is often contentious. Reaching consensus over management decisions is often hampered by a dispute about the size of the local carnivore population. Understanding the reproductive dynamics and individual movements of the carnivores can provide support for management decisions, but individual-level information can be difficult to obtain from elusive, wide-ranging species. Non-invasive genetic sampling can yield such information, but makes subsequent reconstruction of population history challenging due to incomplete population coverage and error-prone data. Here, we combine a collaborative, volunteer-based sampling scheme with Bayesian pedigree reconstruction to describe the pack dynamics of an establishing grey wolf (Canis lupus) population in south-west Finland, where wolf breeding was recorded in 2006 for the first time in over a century. Results: Using DNA extracted mainly from faeces collected since 2008, we identified 81 individual wolves and assigned credible full parentages to 70 of these and partial parentages to a further 9, revealing 7 breeding pairs. Individuals used a range of strategies to obtain breeding opportunities, including dispersal to established or new packs, long-distance migration and inheriting breeding roles. Gene flow occurred between all packs but inbreeding events were rare. Conclusions: These findings demonstrate that characterizing ongoing pack dynamics can provide detailed, locally-relevant insight into the ecology of contentious species such as the wolf. Involving various stakeholders in data collection makes these results more likely to be accepted as unbiased and hence reliable grounds for management decisions. Wolf monitoring genotype and phenotype data This file contains the consensus multi-locus genotypes of all individual wolves identified and fitted in the pedigree, along with phenotypic data used to inform the pedigree. WolfMonitoring_GenAndPhenData.csv
format Other/Unknown Material
author Granroth-Wilding, Hanna
Primmer, Craig
Lindqvist, Meri
Poutanen, Jenni
Thalmann, Olaf
Aspi, Jouni
Harmoinen, Jenni
Kojola, Ilpo
Laaksonen, Toni
author_facet Granroth-Wilding, Hanna
Primmer, Craig
Lindqvist, Meri
Poutanen, Jenni
Thalmann, Olaf
Aspi, Jouni
Harmoinen, Jenni
Kojola, Ilpo
Laaksonen, Toni
author_sort Granroth-Wilding, Hanna
title Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
title_short Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
title_full Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
title_fullStr Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
title_full_unstemmed Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
title_sort data from: non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
publisher Zenodo
publishDate 2017
url https://doi.org/10.5061/dryad.76tr6
genre Canis lupus
genre_facet Canis lupus
op_relation https://doi.org/10.1186/s12898-017-0154-8
https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.76tr6
oai:zenodo.org:4990640
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.76tr610.1186/s12898-017-0154-8
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