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Testing the uniqueness of deep terrestrial life.
Trontelj, Peter; Borko, Spela; Delic, Teo.
Affiliation
  • Trontelj P; Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia. peter.trontelj@bf.uni-lj.si.
  • Borko S; Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
  • Delic T; Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Sci Rep ; 9(1): 15188, 2019 10 23.
Article in En | MEDLINE | ID: mdl-31645598
ABSTRACT
Terrestrial life typically does not occur at depths greater than a few meters. Notable exceptions are massifs of fissured rock with caves and hollow spaces reaching depths of two kilometres and more. Recent biological discoveries from extremely deep caves have been reported as sensations analogous to wondrous deep sea creatures. However, the existence of unique deep terrestrial communities is questionable when caves are understood as integral parts of a bedrock fissure network (BFN) interconnecting all parts of a massif horizontally and vertically. We tested these two opposing hypotheses - unique deep cave fauna vs. BFN - by sampling subterranean communities within the 3D matrix of a typical karst massif. There was no distinction between deep core and shallow upper zone communities. Beta diversity patterns analysed against null models of random distribution were generally congruent with the BFN hypothesis, but suggested gravity-assisted concentration of fauna in deep caves and temperature-dependent horizontal distribution. We propose that the idea of a unique deep terrestrial fauna akin to deep oceanic life is unsupported by data and unwarranted by ecological considerations. Instead, the BFN hypothesis and local ecological and structural factors sufficiently explain the distribution of subterranean terrestrial life even in the deepest karst massifs.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2019 Document type: Article