2017
DOI: 10.1111/ecog.03464
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Applying species distribution models to caves and other subterranean habitats

Abstract: Over the last two decades there has been an exponential increase in the use of correlative species distribution models (SDMs) to address a variety of topics in ecology, biogeography, evolution, and conservation biology. Conversely, the use of these statistical methods to study the potential distribution of subterranean organisms has lagged behind, relative to their above‐ground (epigean) counterparts. The reason for this is possibly related to a number of peculiarities of subterranean systems, which pose impor… Show more

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Cited by 62 publications
(69 citation statements)
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“…All variables were at a resolution of 30 arc‐s. We selected the initial set of predictors on an expert‐based base, that is considering the variables that should be relevant and meaningful to represent the subterranean conditions (Mammola & Leroy, ). Afterwards, we tested the set of predictors for multicollinearity and excluded highly correlated ones (Pearson r > |0.7|; threshold after Dormann et al., ).…”
Section: Methodsmentioning
confidence: 99%
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“…All variables were at a resolution of 30 arc‐s. We selected the initial set of predictors on an expert‐based base, that is considering the variables that should be relevant and meaningful to represent the subterranean conditions (Mammola & Leroy, ). Afterwards, we tested the set of predictors for multicollinearity and excluded highly correlated ones (Pearson r > |0.7|; threshold after Dormann et al., ).…”
Section: Methodsmentioning
confidence: 99%
“…To represent the subterranean conditions across the alpine distribution of the clade, we selected a set of environmental predictors including topographical and geological variables, bioclimatic predictors and historical factors. All variables were at a resolution of 30 arc-s. We selected the initial set of predictors on an expert-based base, that is considering the variables that should be relevant and meaningful to represent the subterranean conditions (Mammola & Leroy, 2018). Afterwards, we tested the set of predictors for multicollinearity and excluded highly correlated ones (Pearson r > |0.7|; threshold after Dormann et al, 2013).…”
Section: Environmental Predictorsmentioning
confidence: 99%
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“…Climatic‐driven changes in the distribution range of most subterranean species have been seldom studied (e.g., Brandmayr & Pizzolotto, ; Brandmayr et al., ; Mammola & Leroy, ; Sánchez‐Fernández et al., ). Regarding spiders, significant latitudinal shifts are expected within high dispersal species (Mammola, ; Mammola & Isaia, ).…”
Section: Future Lines Of Researchmentioning
confidence: 99%
“…In spite of that, the analysis of patterns and processes of biological diversity and diversification in subterranean environments is very incomplete for a number of reasons. Foremost, compared with epigean habitats, caves and other subterranean habitats constitute challenging working environments, making it difficult to assemble a suitable amount of data (Christman et al, 2016;Culver et al, 2006Culver et al, , 2013Mammola & Leroy, 2017;Zagmajster, Culver, Christman, & Sket, 2010). Secondly, in most regions, the vast majority of troglobionts are invertebrates, fungi or bacteria, invariably underrepresented in ecology and conservation studies (Cardoso, Erwin, Borges, & New, 2011); on the other hand, the paucity of species, compared with epigean communities, can make it simpler to understand how subterranean communities assemble and function.…”
mentioning
confidence: 99%