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- Lansink, G. M. J., et al.
(författare)
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Potential for increased connectivity between differentiated wolverine populations
- 2022
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Ingår i: Biological Conservation. - : Elsevier. - 0006-3207 .- 1873-2917. ; 272
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Tidskriftsartikel (refereegranskat)abstract
- Information on genetic population structure provides important knowledge for species conservation. Yet, few studies combine extensive genetic data to evaluate the structure and population dynamics of transboundary populations. Here we used single nucleotide polymorphisms (SNPs), microsatellites and mitochondrial haplotypes to analyze the genetic population structure of wolverines (Gulo gulo) across Fennoscandia using a long-term monitoring dataset of 1708 individuals. Clear population subdivision was detected between the Scandinavian and the eastern Finnish population with a steep cline in the contact zone. While the Scandinavian population showed isolation by distance, large swaths of this population were characterized by high connectivity. Areas with high resistance to gene flow are likely explained by a combination of factors, such as historical isolation and founder effects. From a conservation perspective, promoting gene flow from the population in eastern Finland to the northwest of Scandinavia could augment the less variable Scandinavian population, and increase the demographic resilience of all subpopulations. Overall, the large areas of low resistance to gene flow suggest that transboundary cooperation with aligned actions of harvest and conflict mitigation could improve genetic connectivity across Finland, Sweden, and Norway.
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- Arslan, O., et al.
(författare)
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Algorithms to compute CM - and S-estimates for regression
- 2003
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Ingår i: International Conference on Robust Statistics. - : Physica-Verlag Rudolf Liebig GmbH. - 3790815187 ; , s. 62-76
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Konferensbidrag (refereegranskat)abstract
- Constrained M-estimators for regression were introduced by Mendes and Tyler in 1995 as an alternative class of robust regression estimators with high breakdown point and high asymptotic efficiency. To compute the CM-estimate, the global minimum of an objective function with an inequality constraint has to be localized. To find the S-estimate for the same problem, we instead restrict ourselves to the boundary of the feasible region. The algorithm presented for computing CM-estimates can easily be modified to compute S-estimates as well. Testing is carried out with a comparison to the algorithm SURREAL by Ruppert
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- Danielsson, P, et al.
(författare)
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Importance of age for 3-year continuous behavioral obesity treatment success and dropout rate
- 2012
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Ingår i: Obesity facts. - : S. Karger AG. - 1662-4033 .- 1662-4025. ; 5:1, s. 34-44
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Tidskriftsartikel (refereegranskat)abstract
- <i>Objective:</i> To assess whether first year weight loss, age, and socioeconomic background correlate with the success rate of continuous long-term behavioral obesity treatment. <i>Methods: </i>In a 3-year longitudinal study, obese children (n = 684) were divided into three groups based on age at the start of treatment, age 6–9 years, 10–13 years, and 14–16 years. <i>Results:</i> The mean BMI standard deviation score (BMI-SDS) decline was age-dependent (p = 0.001), independently of adjustment for missing data: –1.8 BMI-SDS units in the youngest, –1.3 in the middle age group, and –0.5 in the oldest age group. SES and parental BMI status did not affect the results. 30% of the adolescents remained in treatment at year 3. There was only a weak correlation between BMI-SDS change after 1 and 3 years: r = 0.51 (p < 0.001). Among children with no BMI-SDS reduction during year 1 (n = 46), 40% had a clinically significantly reduced BMI-SDS after year 3. <i>Conclusion:</i> Behavioral treatment should be initiated at an early age to increase the chance for good results. Childhood obesity treatment should be continued for at least 3 years, regardless of the initial change in BMI-SDS.
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