2014
DOI: 10.1186/s12983-014-0077-6
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Unveiling the factors shaping the distribution of widely distributed alpine vertebrates, using multi-scale ecological niche modelling of the bat Plecotus macrobullaris

Abstract: Several alpine vertebrates share a distribution pattern that extends across the South-western Palearctic but is limited to the main mountain massifs. Although they are usually regarded as cold-adapted species, the range of many alpine vertebrates also includes relatively warm areas, suggesting that factors beyond climatic conditions may be driving their distribution. In this work we first recognize the species belonging to the mentioned biogeographic group and, based on the environmental niche analysis of Plec… Show more

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Cited by 21 publications
(27 citation statements)
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“…The Sanremo records also confirm the tendency of the species to occupy areas at lower altitudes, as has been previously recorded in Mediterranean France and in other parts of the Alps (Drousie et al 2016, Alberdi et al 2013. In particular, Plecotus macrobullaris tends to occupy the mountain reliefs with steep slopes and rocky outcrops, such as those observed in Western Liguria, not only in the Sanremo area (Alberdi et al 2014). The place where the specimen has been found, even if it is characterized by habitats not perfectly suitable for the species, is not that far from the ecological optimum areas of the Ligurian and Maritimes Alps (Alberdi et al 2014).…”
supporting
confidence: 85%
“…The Sanremo records also confirm the tendency of the species to occupy areas at lower altitudes, as has been previously recorded in Mediterranean France and in other parts of the Alps (Drousie et al 2016, Alberdi et al 2013. In particular, Plecotus macrobullaris tends to occupy the mountain reliefs with steep slopes and rocky outcrops, such as those observed in Western Liguria, not only in the Sanremo area (Alberdi et al 2014). The place where the specimen has been found, even if it is characterized by habitats not perfectly suitable for the species, is not that far from the ecological optimum areas of the Ligurian and Maritimes Alps (Alberdi et al 2014).…”
supporting
confidence: 85%
“…700 km 2 , which encompass an elevation gradient ranging from 372 m to 3,210 m a.s.l. However, for this study with bats, only the potentially forested areas up to 2,000 m were considered for sampling and modelling, ignoring the 40 km 2 area above the treeline that are less occupied by bats (Ancillotto et al, ; Lisón & Calvo, ), as only a few bat species are adapted to survive in high mountains (Alberdi, Aizpurua, Aihartza, & Garin, ; Le Roux et al, ; Weier, Linden, Gaigher, White, & Taylor, ). The study area and its vegetation are considerably influenced by the topography and human activity with the plain (Rhône valley) being densely populated and intensively farmed while the subalpine areas are essentially shaped by touristic activity and more extensive agricultural exploitations constituting a mosaic of meadows, pastures and forest patches (for more information about this area, see also http://rechalp.unil.ch; Guisan, ; Pellissier et al, ; Pradervand, ).…”
Section: Methodsmentioning
confidence: 99%
“…To determine how changes in environmental suitability during the Pleistocene could have affected the demographic history of P. macrobullaris populations, we used Maxent 3.3.3 (Phillips et al, 2004) to generate geographical suitability maps for the Western Palaearctic region under different climatic conditions. The reference model was selected from the 45 candidate models generated by Alberdi et al (2014) with different combinations of climatic and topographic variables and regularization parameters. It included six climatic variables (BIO4, temperature seasonality; BIO8, mean temperature of the wettest quarter; BIO10, mean temperature of the warmest quarter; BIO12, annual precipitation; BIO15, precipitation seasonality; BIO17, precipitation of the warmest quarter; Hijmans et al, 2005) and a single topographic variable (ABR, abruptness of landscape, defined as the maximum elevational difference within a 5-km buffer around each cell; Alberdi et al, 2014).…”
Section: Ecological Niche Modellingmentioning
confidence: 99%