4.3 Article Data Paper

Cave morphology, microclimate and abundance of five cave predators from the Monte Albo (Sardinia, Italy)

Journal

BIODIVERSITY DATA JOURNAL
Volume 8, Issue -, Pages -

Publisher

PENSOFT PUBLISHERS
DOI: 10.3897/BDJ.8.e48623

Keywords

Dataset; standardised data collection; cave biology; troglophiles; salamander; spider; snail; monitoring; endangered species

Funding

  1. Chinese Academy of Sciences

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Background Systematic data collection on species and their exploited environments is of key importance for conservation studies. Within the less-known environments, the subterranean ones are neither easy to be studied, nor to be explored. Subterranean environments house a wide number of specialised organisms, many of which show high sensitivity to habitat alteration. Despite the undeniable importance to monitor the status of the subterranean biodiversity, standardised methodologies to record biotic and abiotic data in these environments are still not fully adopted, impeding therefore the creation of comparable datasets useful for monitoring the ecological condition in the subterranean environments and for conservation assessment of related species. New information In this work we describe a methodology allowing the collection of standardised abiotic and biotic data in subterranean environments. To show this, we created a large dataset including information on environmental features (morphology and microclimate) and abundance of five predators (one salamander, three spiders and one snail) occurring in seven caves of the Monte Albo (Sardinia, Italy), an important biodiversity hotspot. We performed 77 surveys on 5,748 m(2) of subterranean environments througout a year, recording 1,695 observations of the five cave predators. The fine-scale data collection adopted in our methodology allowed us to record detailed information related to both morphology and microclimate of the cave inner environment. Furthermore, this method allows us to account for species-imperfect detection when recording presence/abundance data.

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