Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data

Reliable data and methods for assessing changes in wildlife population size over time are necessary for management and conservation. For most species, assessing abundance is an expensive and labor-intensive task that is not affordable on a frequent basis. We present a novel approach to reco...

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Autores principales: Klemen Jerina, Andrés Ordiz
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Publicado: Slovenian Forestry Institute 2021
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Acceso en línea:https://doaj.org/article/17ecd3b98f5946eba2d679e1ad77e022
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spelling oai:doaj.org-article:17ecd3b98f5946eba2d679e1ad77e0222021-11-15T12:40:55ZReconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data2335-31122335-395310.20315/ASetL.124.3https://doaj.org/article/17ecd3b98f5946eba2d679e1ad77e0222021-01-01T00:00:00Zhttp://dirros.openscience.si/IzpisGradiva.php?id=13799https://doaj.org/toc/2335-3112https://doaj.org/toc/2335-3953 Reliable data and methods for assessing changes in wildlife population size over time are necessary for management and conservation. For most species, assessing abundance is an expensive and labor-intensive task that is not affordable on a frequent basis. We present a novel approach to reconstructing brown bear population dynamics in Slovenia in the period 1998-2019, based on the combination of two CMR non-invasive genetic estimates (in 2007 and 2015) and long-term mortality records, to show how the latter can help the study of population dynamics in combination with point-in-time estimates. The spring (i.e. including newborn cubs) population size estimate was 383 (CI: 336-432) bears in 1998 and 971 (CI: 825-1161) bears in 2019. In this period, the average annual population growth rate was 4.5 %. The predicted population size differed by just 7 % from the non-invasive genetic size estimate after eight years, suggesting that the method is reliable. It can predict the evolution of the population size under different management scenarios and provide information on key parameters, e.g. background mortality and the sex- and age-structure of the population. Our approach can be used for several other wildlife species, but it requires reliable mortality data over time.Klemen JerinaAndrés OrdizSlovenian Forestry InstitutearticleForestrySD1-669.5Environmental sciencesGE1-350DEENESFRSLActa Silvae et Ligni, Vol 124, Pp 29-40 (2021)
institution DOAJ
collection DOAJ
language DE
EN
ES
FR
SL
topic Forestry
SD1-669.5
Environmental sciences
GE1-350
spellingShingle Forestry
SD1-669.5
Environmental sciences
GE1-350
Klemen Jerina
Andrés Ordiz
Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
description Reliable data and methods for assessing changes in wildlife population size over time are necessary for management and conservation. For most species, assessing abundance is an expensive and labor-intensive task that is not affordable on a frequent basis. We present a novel approach to reconstructing brown bear population dynamics in Slovenia in the period 1998-2019, based on the combination of two CMR non-invasive genetic estimates (in 2007 and 2015) and long-term mortality records, to show how the latter can help the study of population dynamics in combination with point-in-time estimates. The spring (i.e. including newborn cubs) population size estimate was 383 (CI: 336-432) bears in 1998 and 971 (CI: 825-1161) bears in 2019. In this period, the average annual population growth rate was 4.5 %. The predicted population size differed by just 7 % from the non-invasive genetic size estimate after eight years, suggesting that the method is reliable. It can predict the evolution of the population size under different management scenarios and provide information on key parameters, e.g. background mortality and the sex- and age-structure of the population. Our approach can be used for several other wildlife species, but it requires reliable mortality data over time.
format article
author Klemen Jerina
Andrés Ordiz
author_facet Klemen Jerina
Andrés Ordiz
author_sort Klemen Jerina
title Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
title_short Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
title_full Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
title_fullStr Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
title_full_unstemmed Reconstruction of brown bear population dynamics in Slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
title_sort reconstruction of brown bear population dynamics in slovenia in the period 1998-2019: a new approach combining genetics and long-term mortality data
publisher Slovenian Forestry Institute
publishDate 2021
url https://doaj.org/article/17ecd3b98f5946eba2d679e1ad77e022
work_keys_str_mv AT klemenjerina reconstructionofbrownbearpopulationdynamicsinsloveniaintheperiod19982019anewapproachcombininggeneticsandlongtermmortalitydata
AT andresordiz reconstructionofbrownbearpopulationdynamicsinsloveniaintheperiod19982019anewapproachcombininggeneticsandlongtermmortalitydata
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