2021
DOI: 10.1111/mec.16002
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Environmental association modelling with loci under divergent selection predicts the distribution range of a lizard

Abstract: During the historical building of a species range, individual colonizers have to confront different ecological challenges, and the capacity of the species to broaden its range may depend on the total amount of adaptive genetic variation supplied by evolution.We set out to increase our understanding of what defines a range and the role of underlying genetics by trying to predict an entire species' range from the geographical distribution of its genetic diversity under selection. We sampled five populations of t… Show more

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Cited by 6 publications
(7 citation statements)
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“…By using the scree plot criterion, the environmental PCA yielded a single axis (eigenvalue = 0.679) that retained four variables: annual mean temperature (BIO1), max temperature of the warmest month (BIO5), mean temperature of the warmest quarter (BIO10), and annual precipitation (BIO12) (Llanos‐Garrido et al, 2021 ). The warmest/driest cells were located near the lowland population (El Pardo), while the opposite was true for the montane population (Navacerrada; see Figure 1 ).…”
Section: Resultsmentioning
confidence: 99%
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“…By using the scree plot criterion, the environmental PCA yielded a single axis (eigenvalue = 0.679) that retained four variables: annual mean temperature (BIO1), max temperature of the warmest month (BIO5), mean temperature of the warmest quarter (BIO10), and annual precipitation (BIO12) (Llanos‐Garrido et al, 2021 ). The warmest/driest cells were located near the lowland population (El Pardo), while the opposite was true for the montane population (Navacerrada; see Figure 1 ).…”
Section: Resultsmentioning
confidence: 99%
“…To evaluate environmental variation between El Pardo and Navacerrada (Figure 1 ), we computed the score of each cell that an individual would have to cross in a theoretical shortest‐route migration event following valley bottoms on a PCA that combined all Bioclim environmental variables (2.0 dataset; cell resolution = 1 × 1 km; Booth et al, 2014 ) using R core (R Core Team, 2013 ). This PCA has been previously used to summarize environmental variation (temperature and humidity) across all the species' range, yielding a single principal axis that opposed dry and warm cells to wet and cold ones (Llanos‐Garrido et al, 2021 ). To assess the environmental gradient between these populations, we also considered the scores at the cells occupied by the populations themselves.…”
Section: Methodsmentioning
confidence: 99%
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“…We investigated P. algirus , a species with generalist habits with a distribution across the Iberian Peninsula and North of Africa (Llanos‐Garrido et al, 2021). The investigation was performed in an evergreen forest where vegetation is dominated by holm‐oak trees ( Quercus ilex ) and gum rockrose bushes ( Cistus ladanifer ).…”
Section: Methodsmentioning
confidence: 99%
“…Range expansions are constrained by the adaptability thresholds of the species (Llanos-Garrido et al, 2021). The limits of the species' ranges are determined by the maximum possible span of environmental variation to which adaptive genetic variants are suited (Mayr, 1963).…”
mentioning
confidence: 99%