2015
DOI: 10.1007/s13127-015-0210-1
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Niche overlap and host specificity in parasitic Maculinea butterflies (Lepidoptera: Lycaenidae) as a measure for potential extinction risks under climate change

Abstract: Species depending on specific biotic interactions are particularly threatened by environmental changes. Therefore, host dependency in species living in parasitic relationships is acknowledged as a crucial factor increasing climatic susceptibility and species decline. In Maculinea butterflies and Myrmica ants, a complex form of social parasitism brings the butterflies into dependency of some few associated ant species for reproductive success. We evaluated to what extent these relations can be attributed to sim… Show more

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Cited by 14 publications
(20 citation statements)
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“…The second predicted distribution is more inclusive and represents the threshold that equates entropy of distributions at the threshold and original areas. This threshold has been proposed for organisms with high dispersal potential as they can reach distant areas in a relatively short time period (Filz andSchmitt 2015: Hill et al 2016). We interpret the resulting model as describing the subset of the realized niche represented in the study area (Peterson and Soberón 2012).…”
Section: Methodsmentioning
confidence: 99%
“…The second predicted distribution is more inclusive and represents the threshold that equates entropy of distributions at the threshold and original areas. This threshold has been proposed for organisms with high dispersal potential as they can reach distant areas in a relatively short time period (Filz andSchmitt 2015: Hill et al 2016). We interpret the resulting model as describing the subset of the realized niche represented in the study area (Peterson and Soberón 2012).…”
Section: Methodsmentioning
confidence: 99%
“…To estimate and project the distribution of the Caucasian grouse, we used maximum entropy modeling (Maxent; Phillips, Dudík, & Schapire, 2004). Maxent, the most widely used SDM algorithm (Phillips et al, 2004), is a presence-only modeling technique (Elith et al, 2011), and has been consistently shown to outperform alternative approaches (Elith et al, 2006;Merow, Smith, & Silander, 2013;Srivastava, Griess, & Keena, 2020), especially when the number of presence records is small (Filz & Schmitt, 2015). To identify the best Maxent parameterization, we used the "kuenm" package in R (Cobos, Peterson, Barve, & Osorio-Olvera, 2019).…”
Section: Species Distribution Modelingmentioning
confidence: 99%
“…Accordingly, our understanding of the hybrid's niche may be most effectively studied by examining niche parameters of its progenitors, since these attributes should fundamentally drive hybrid niche requirements. Likewise, according to basic tenets of host–parasite theory (Poulin 2006, Filz and Schmitt 2015, Lymbery 2015), obligate parasites should occupy niches that are entirely contained within the host distribution. This prediction is supported across a variety of host–parasite systems (Feldman et al 2017).…”
Section: Introductionmentioning
confidence: 99%