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Continental data on cave-dwelling spider communities across Europe (Arachnida: Araneae)
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SYSNO ASEP 0509617 Document Type J - Journal Article R&D Document Type O - Ostatní Subsidiary J Článek ve WOS Title Continental data on cave-dwelling spider communities across Europe (Arachnida: Araneae) Author(s) Mammola, S. (IT)
Cardoso, P. (FI)
Angyal, D. (MX)
Balázs, G. (HU)
Blick, T. (DE)
Brustel, H. (FR)
Carter, J. (GB)
Ćurčić, S. (RS)
Danflous, S. (FR)
Dányi, L. (HU)
Déjean, S. (FR)
Deltshev, C. (BG)
Elverici, M. (TR)
Fernández, J. (ES)
Gasparo, F. (IT)
Komnenov, M. (MK)
Komposch, C. (AT)
Kováč, Ľ. (SK)
Kunt, K. B. (CY)
Mock, A. (SK)
Moldovan, O. (RO)
Naumova, M. (BG)
Pavlek, M. (HR)
Prieto, C. E. (ES)
Ribera, C. (ES)
Rozwalka, R. (PL)
Růžička, Vlastimil (BC-A) RID, ORCID
Vargovitsh, R. S. (UA)
Zaenker, S. (DE)
Isaia, M. (IT)Number of authors 30 Article number e38492 Source Title Biodiversity Data Journal. - : Pensoft Publishers - ISSN 1314-2836
Roč. 7, OCT 08 (2019)Number of pages 15 s. Language eng - English Country BG - Bulgaria Keywords Araneae ; cave ; Europe Subject RIV EH - Ecology, Behaviour OECD category Ecology Method of publishing Open access Institutional support BC-A - RVO:60077344 UT WOS 000489646700001 DOI 10.3897/BDJ.7.e38492 Annotation Data from 475 geo-referenced subterranean localities (caves, mines and other artificial subterranean sites, interstitial habitats) are herein made available. For each subterranean locality, information about the composition of the spider community is provided, along with local geomorphological and habitat features. Altogether, these communities account for > 300 unique taxonomic entities and 2,091 unique geo-referenced occurrence records, that are made available via the Global Biodiversity Information Facility (GBIF) (Mammola and Cardoso 2019). This dataset is unique in that it covers both a large geographic extent (from 35° south to 67° north) and contains high-resolution local data on geomorphological and habitat features. Given that this kind of high-resolution data are rarely associated with broad-scale datasets used in macroecology, this dataset has high potential for helping researchers in tackling a range of biogeographical and macroecological questions, not necessarily uniquely related to arachnology or subterranean biology. Workplace Biology Centre (since 2006) Contact Dana Hypšová, eje@eje.cz, Tel.: 387 775 214 Year of Publishing 2020 Electronic address https://bdj.pensoft.net/article/38492/download/pdf/
Number of the records: 1