2017
DOI: 10.1007/s10531-017-1488-4
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Habitat associations of epigeal spiders in upland calcareous grassland landscapes: the importance for conservation

Abstract: Upland calcareous grassland landscapes are typically comprised of a matrix of calcareous grassland, acid grassland and limestone heath plant communities. This matrix of habitats is produced by a combination of underlying geology, climate and management. These landscapes are typically managed through grazing, with management targeted to maintain particular plant communities in the calcareous grassland habitat, whilst patches of acid grassland and limestone heath are not targeted by conservation management. The … Show more

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Cited by 8 publications
(2 citation statements)
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References 58 publications
(81 reference statements)
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“…The effects of grazing on spiders are usually in accordance with the general trend found in other taxa, where low to moderate grazing regimes may support higher spider taxonomic and guild diversity (Vona-Túri et al, 2017;Szmatona-Túri et al, 2018;Lyons et al, 2018a;Ferreira et al, 2020), whereas heavy grazing (e.g. high density of grazers) is related to negative impacts on spider diversity (Polchaninova et al, 2016;Hashemi et al, 2019;Torma et al, 2019).…”
Section: Introductionsupporting
confidence: 68%
“…The effects of grazing on spiders are usually in accordance with the general trend found in other taxa, where low to moderate grazing regimes may support higher spider taxonomic and guild diversity (Vona-Túri et al, 2017;Szmatona-Túri et al, 2018;Lyons et al, 2018a;Ferreira et al, 2020), whereas heavy grazing (e.g. high density of grazers) is related to negative impacts on spider diversity (Polchaninova et al, 2016;Hashemi et al, 2019;Torma et al, 2019).…”
Section: Introductionsupporting
confidence: 68%
“…The Alice Holt unforested site had significant losses giving a total of 28 trapping days. Across sites the data was standardised by dividing the number of individuals in each species by the number of trapping days at that site and multiplying it by the maximum number of trapping days (70) across all sites, following Lyons et al (2017). All analyses were carried out using the statistical programme R (version 3.2.0) (R Development Core Team, 2016).…”
Section: Methodsmentioning
confidence: 99%