2009
DOI: 10.1111/j.1752-4598.2009.00054.x
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Some like it hot: microclimatic variation affects the abundance and movements of a critically endangered dung beetle

Abstract: Abstract. 1. Habitat loss and fragmentation is a leading cause of species extinction. This not only concerns loss of major habitats, but also loss of microclimatic heterogeneity within such habitats.2. In this study, we examine the effects of microclimate on the abundance and movements of Onthophagus gibbulus, a dung beetle associated with pastoral habitats. While formerly widespread in Southern Finland, the species is now critically endangered at a national level, persisting within an area of 6 km 2 . 3. We d… Show more

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Cited by 29 publications
(28 citation statements)
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References 49 publications
(66 reference statements)
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“…For instance, Onthophagus gibbulus (Pallas, 1781) is critically endangered in Finland and has been found to be most abundant in the hottest and most strongly grazed parts of its habitat (Roslin et al . ). The species richness of dung beetles has also been shown to increase in grazed, open areas compared to overgrown habitats in some instances (Verdú et al .…”
Section: Discussionmentioning
confidence: 97%
“…For instance, Onthophagus gibbulus (Pallas, 1781) is critically endangered in Finland and has been found to be most abundant in the hottest and most strongly grazed parts of its habitat (Roslin et al . ). The species richness of dung beetles has also been shown to increase in grazed, open areas compared to overgrown habitats in some instances (Verdú et al .…”
Section: Discussionmentioning
confidence: 97%
“…For example, strong correlations have been observed between changes in the frequency of plant species over time and the in-situ temperature of their preferred microhabitat on mountain summits in Switzerland (Kulonen et al 2018). Sometimes, topoclimatic variables derived directly from DEMs (like elevation, solar radiation or cold-air pooling) are also used independently in SDMs, thus using an indirect topoclimatic derivative instead of actually downscaled climate to improve the spatial resolution of SDMs (Roslin et al 2009, Maclean et al 2015, Shinneman et al 2016, Patsiou et al 2017.…”
Section: Inclusion Of Microclimatic Data In Sdms Current Status Of MImentioning
confidence: 99%
“…As long as the quality of climate data continues to be overlooked as a source of error in species distribution models (Soria-Auza et al, 2010), and insufficient research is undertaken to relate global climate change to ecologically relevant microclimates (Kennedy, 1997), we will be unable to predict future impacts to microclimate-sensitive species (e.g. Roslin et al, 2009). …”
Section: Introductionmentioning
confidence: 99%