2013
DOI: 10.1007/s10592-013-0498-3
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Landscape heterogeneity predicts gene flow in a widespread polymorphic bumble bee, Bombus bifarius (Hymenoptera: Apidae)

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Cited by 53 publications
(103 citation statements)
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References 69 publications
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“…Unlike a quantitative variable, measuring integument color is often subjective in nature, requiring interpretation of the degree of color change or differences in color from one specimen to another, often on a qualitative scale (Mueller & Wolf-Mueller, 1993;Ruttner, 1988). While some studies have used quantitative approaches to measure bee setal color (Lozier et al, 2013), none have experimentally investigated how sun exposure affects the integument or setal color of a bee. Quantitatively determining the effect of sun exposure on insect integument or setae will provide another metric to estimate bee age.…”
Section: Journal Of Melittologymentioning
confidence: 99%
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“…Unlike a quantitative variable, measuring integument color is often subjective in nature, requiring interpretation of the degree of color change or differences in color from one specimen to another, often on a qualitative scale (Mueller & Wolf-Mueller, 1993;Ruttner, 1988). While some studies have used quantitative approaches to measure bee setal color (Lozier et al, 2013), none have experimentally investigated how sun exposure affects the integument or setal color of a bee. Quantitatively determining the effect of sun exposure on insect integument or setae will provide another metric to estimate bee age.…”
Section: Journal Of Melittologymentioning
confidence: 99%
“…We chose to analyze H, which is a component of the Hue, Saturation, and Lightness (HSL) digital color model and has been successfully quantified in a handful of insect studies (Davis et al, 2007;Lozier et al, 2013). All images were standardized to the 18% gray card using Adobe Photoshop CS2 (Adobe, San Jose, CA).…”
Section: Journal Of Melittologymentioning
confidence: 99%
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“…This approach takes into account the effect of all alternative pathways between habitat patches, which is especially appropriate when the specific aim is to assess gene flow across a landscape over many generations. Several studies indicated that resistance distances may allow for better assessment of genetic isolation-by-distance than the usual Euclidean or least-cost-path distance because the metric is based on assumptions about the impact of many alternative routes in the entire landscape on the dispersal of individuals, and consequently on the chances of gene flow (McRae and Beier 2007;Schwartz et al 2009;Lozier et al 2013). Despite the theoretical superiority of isolation-by-resistance approach over distance measures assuming a single optimal path, the performance of the these approaches have rarely been evaluated with empirical data sets at finer spatial scales (Row et al 2010).…”
Section: Introductionmentioning
confidence: 99%