2021
DOI: 10.1111/ddi.13460
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Population decline at distribution margins: Assessing extinction risk in the last glacial relictual but still functional metapopulation of a European butterfly

Abstract: Aim:To determine the interplay between climate and land use changes in driving population dynamics in a butterfly species, Coenonympha hero, at the southern limit of its distribution.Location: French Jura massif and Europe. Methods:We analysed patterns of genetic diversity distribution at 817 loci in 136 butterflies from 31 sites using NGS to infer the genetic structure and population size changes over time, using two methods of demographic inference (SNP frequency spectrum analyses and coalescent ABC inferenc… Show more

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Cited by 13 publications
(8 citation statements)
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“…These low values are in line with our assumption of recent changes in effective population size, showing steep population declines over the last 500 years and a likely rapid bottleneck event in Grindelwald about 80 years ago (Figure 4a). Other studies on demographic trends in butterflies report similar gradual population declines as for E. nivalis during historical ages (Figure 4b; Sherpa et al, 2022) and sharp bottlenecks in more recent years (Després et al, 2019). The Swiss bottleneck event also fits within an inferred window of general butterfly decline around the 1960s that may be related to the intensification of agricultural and/or touristic practices (Habel et al, 2022).…”
Section: Discussionsupporting
confidence: 70%
“…These low values are in line with our assumption of recent changes in effective population size, showing steep population declines over the last 500 years and a likely rapid bottleneck event in Grindelwald about 80 years ago (Figure 4a). Other studies on demographic trends in butterflies report similar gradual population declines as for E. nivalis during historical ages (Figure 4b; Sherpa et al, 2022) and sharp bottlenecks in more recent years (Després et al, 2019). The Swiss bottleneck event also fits within an inferred window of general butterfly decline around the 1960s that may be related to the intensification of agricultural and/or touristic practices (Habel et al, 2022).…”
Section: Discussionsupporting
confidence: 70%
“…To reduce uncertainties associated with a single SDM algorithm, an ensemble modelling approach (Araújo & New, 2007) was used weighting the model replicates by their predictive performance with a threshold of true skill statistic (TSS) > 0.7 (EMwmeanByTSS following Sherpa et al., 2022). This is a widely used approach in contemporary species distribution modelling (Jourdan et al., 2021; Sherpa et al., 2022). Variable importance was assessed with the “get_variables_importance” function (biomod2 package) as 1 minus the Pearson's correlation between the reference predictions of the full model and the predictions of the model where the target variable was randomized (Thuiller et al., 2022).…”
Section: Methodsmentioning
confidence: 99%
“…The higher the output values, the better the model performance (i.e., values close to 1 corresponding to perfect discrimination). To reduce uncertainties associated with a single SDM algorithm, an ensemble modelling approach (Araújo & New, 2007) was used weighting the model replicates by their predictive performance with a threshold of true skill statistic (TSS) > 0.7 (EMwmeanByTSS following Sherpa et al., 2022). This is a widely used approach in contemporary species distribution modelling (Jourdan et al., 2021; Sherpa et al., 2022).…”
Section: Methodsmentioning
confidence: 99%
“…The inference of demographic trends using genome‐wide data is another potential contribution of genomics to insect conservation. For example, Sherpa et al (2022) evaluated the connectivity of populations of Coenonympha hero (Linnaeus, 1761) in the French Jura Mountains using ddRADseq loci. The authors identified severe demographic declines in pre‐historical times but also more recently possibly because of increased human pressure.…”
Section: Quantifying Anthropogenic Impacts On Biodiversitymentioning
confidence: 99%