2013
DOI: 10.1111/icad.12044
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Grasshopper assemblage response to surface rockiness in Afro‐montane grasslands

Abstract: Grasshoppers are often an important functional component of ecosystems, and many species show high levels of endemism. Evidence exists that percentage surface rock cover within a landscape can predict diversity of grasshopper species. Nevertheless, the reason why grasshopper species are responding to rocky landscapes has not been established. Here, we explore whether grasshoppers are responding to physical rockiness per se, or rather to specific correlates of higher surface rock exposure within a landscape. We… Show more

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Cited by 22 publications
(15 citation statements)
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“…In the temperate Cape Floristic Region in South Africa, behavior of small, endemic Betiscoides species was influenced by wind intensity, temperature and vegetation height (Matenaar et al 2014). We argue that rocky outcrops might add to the heterogeneity of microclimatic niches available in the landscape, directly by providing shelter and basking sites, and indirectly by altering the vegetation layer (Crous et al 2014).…”
Section: Discussionmentioning
confidence: 87%
“…In the temperate Cape Floristic Region in South Africa, behavior of small, endemic Betiscoides species was influenced by wind intensity, temperature and vegetation height (Matenaar et al 2014). We argue that rocky outcrops might add to the heterogeneity of microclimatic niches available in the landscape, directly by providing shelter and basking sites, and indirectly by altering the vegetation layer (Crous et al 2014).…”
Section: Discussionmentioning
confidence: 87%
“…Their role in the study of richness patterns might also provide a predictive framework for the response of diversity to climate change [ 19 ]. An understanding of drivers of diversity along these gradients also identifies useful environmental filters for conservation initiatives [ 20 ]. Macro-ecological studies of species richness in mountains have documented the role of the mid-domain effect [ 21 ], temperature [ 22 , 23 ], energy, and available area [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…A number of qualitative studies have explored these relationships and grasshopper habitat suitability since the 1970s. In quantitative studies, statistical methods are used to determine whether a habitat factor or interactions among factors contribute significantly to grasshopper abundance, such as correlation analysis, significance test, and multivariate ordination techniques (Torrusio et al , 2002; Sirin et al , 2010; Bazelet & Samways, 2011 a , b ; Cease et al , 2012; Ebeling et al , 2013; Crous et al , 2014). Zhou et al (2012) used geostatistics and Kriging interpolation to obtain the spatial pattern of grasshoppers and vegetation characteristics and their spatial correlations.…”
Section: Introductionmentioning
confidence: 99%