Document Detail


Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches.
MedLine Citation:
PMID:  22229706     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The effective population size (N(e) ) could be the ideal parameter for monitoring populations of conservation concern as it conveniently summarizes both the evolutionary potential of the population and its sensitivity to genetic stochasticity. However, tracing its change through time is difficult in natural populations. We applied four new methods for estimating N(e) from a single sample of genotypes to trace temporal change in N(e) for bears in the Northern Dinaric Mountains. We genotyped 510 bears using 20 microsatellite loci and determined their age. The samples were organized into cohorts with regard to the year when the animals were born and yearly samples with age categories for every year when they were alive. We used the Estimator by Parentage Assignment (EPA) to directly estimate both N(e) and generation interval for each yearly sample. For cohorts, we estimated the effective number of breeders (N(b) ) using linkage disequilibrium, sibship assignment and approximate Bayesian computation methods and extrapolated these estimates to N(e) using the generation interval. The N(e) estimate by EPA is 276 (183-350 95% CI), meeting the inbreeding-avoidance criterion of N(e)  > 50 but short of the long-term minimum viable population goal of N(e)  > 500. The results obtained by the other methods are highly consistent with this result, and all indicate a rapid increase in N(e) probably in the late 1990s and early 2000s. The new single-sample approaches to the estimation of N(e) provide efficient means for including N(e) in monitoring frameworks and will be of great importance for future management and conservation.
Authors:
Tomaž Skrbinšek; Maja Jelenčič; Lisette Waits; Ivan Kos; Klemen Jerina; Peter Trontelj
Related Documents :
15619946 - A hybrid model for improving response time in distributed data mining.
731426 - Developments of computer-based estimation of pa2 values and associated analysis.
21644946 - The concurrent evolution of cooperation and the population structures that support it.
19735596 - Perceived responsibility to act: an investigation with respect to registering willingne...
18244196 - Time synchronization using the internet.
24923486 - Sti-gmas: an open-source environment for simulation of sexually-transmitted infections.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-9
Journal Detail:
Title:  Molecular ecology     Volume:  -     ISSN:  1365-294X     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-1-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214478     Medline TA:  Mol Ecol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2012 Blackwell Publishing Ltd.
Affiliation:
Department of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, Slovenia Fish and Wildlife Resources, University of Idaho, Moscow 83844-1136, ID, USA Department of Forestry, Biotechnical Faculty, University of Ljubljana, Večna pot 83, 1000 Ljubljana, Slovenia.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  pH- and Voltage-Responsive Chitosan Hydrogel through Covalent Crosslinking with Catechol.
Next Document:  Slowing down DNA translocation through a nanopore in lithium chloride.