Literature DB >> 31636503

Continental data on cave-dwelling spider communities across Europe (Arachnida: Araneae).

Stefano Mammola1,2, Pedro Cardoso2, Dorottya Angyal3,4, Gergely Balázs5, Theo Blick6, Hervé Brustel7, Julian Carter8, Srećko Ćurčić9, Samuel Danflous10, László Dányi3, Sylvain Déjean11, Christo Deltshev12, Mert Elverici13, Jon Fernández14, Fulvio Gasparo15, Marjan Komnenov16, Christian Komposch17, L'ubomír Kováč18, Kadir Boğaç Kunt19,20, Andrej Mock18, Oana Moldovan21, Maria Naumova22, Martina Pavlek23,24,25, Carlos E Prieto26, Carles Ribera25, Robert Rozwałka27, Vlastimil Růžička28, Robert S Vargovitsh29, Stefan Zaenker30, Marco Isaia1.   

Abstract

BACKGROUND: Spiders (Arachnida: Araneae) are widespread in subterranean ecosystems worldwide and represent an important component of subterranean trophic webs. Yet, global-scale diversity patterns of subterranean spiders are still mostly unknown. In the frame of the CAWEB project, a European joint network of cave arachnologists, we collected data on cave-dwelling spider communities across Europe in order to explore their continental diversity patterns. Two main datasets were compiled: one listing all subterranean spider species recorded in numerous subterranean localities across Europe and another with high resolution data about the subterranean habitat in which they were collected. From these two datasets, we further generated a third dataset with individual geo-referenced occurrence records for all these species. NEW INFORMATION: 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. Stefano Mammola, Pedro Cardoso, Dorottya Angyal, Gergely Balázs, Theo Blick, Hervé Brustel, Julian Carter, Srećko Ćurčić, Samuel Danflous, László Dányi, Sylvain Déjean, Christo Deltshev, Mert Elverici, Jon Fernández, Fulvio Gasparo, Marjan Komnenov, Christian Komposch, L’ubomír Kováč, Kadir Boğaç Kunt, Andrej Mock, Oana Moldovan, Maria Naumova, Martina Pavlek, Carlos E. Prieto, Carles Ribera, Robert Rozwałka, Vlastimil Růžička, Robert S. Vargovitsh, Stefan Zaenker, Marco Isaia.

Entities:  

Keywords:  Araneae ; Europe; cave; spiders; subterranean biology; troglobiont; troglophile

Year:  2019        PMID: 31636503      PMCID: PMC6794329          DOI: 10.3897/BDJ.7.e38492

Source DB:  PubMed          Journal:  Biodivers Data J        ISSN: 1314-2828


Introduction

Spiders (: ) are widespread in caves and other subterranean ecosystems worldwide, representing an important component of subterranean trophic webs (Deharveng and Bedos 2019). They are distinctive for their key ecological role as predators and for the variety of functional adaptations, representing therefore ideal model organisms for exploring a variety of ecological and evolutionary topics (Mammola and Isaia 2017). For example, different spider species have been used for studying silk's mechanical and structural properties (Lepore et al. 2012, Piorkowski et al. 2017), for exploring a range of morphological, metabolic and behavioural adaptations (Cardoso and Scharff 2009, Doran et al. 2001, Doran et al. 2017, Hadley et al. 1981, Lipovšek et al. 2018, Lipovšek et al. 2017, Miller 2005, Yancey et al. 2018, Chiavazzo et al. 2015, Michalik et al. 2014,Hesselberg et al. 2019), for shedding light on the mechanisms of speciation and the processes underpinning biological radiations (Arnedo et al. 2007, Hedin 2015, Růžička et al. 2013, Yao et al. 2016, Zhang and Li 2013), as well as for testing ecological hypotheses (Cardoso 2012, Mammola et al. 2016, Mammola et al. 2019, Novak et al. 2010, Lunghi 2018). Yet, the accessible information about the ecology of most subterranean spiders is still limited, especially when considering broad-scale spatial and temporal patterns of subterranean communities (that is, a macroecological perspective). Indeed, due to the general paucity of information on most subterranean spiders (e.g. Huber 2018, Mammola et al. 2018, Cardoso 2012) and the lack of broad-scale databases about their distribution (Culver et al. 2013, Mammola 2019), global-scale diversity patterns of subterranean spiders remain virtually undescribed (Mammola et al. 2018a, Mammola and Isaia 2017). In an attempt to overcome this impediment, we created an international network of araneologists and cavers (that we called the "CAWEB" network; Mammola et al. 2017) to compile the first continental-scale geo-referenced dataset of cave-dwelling and other subterranean spider communities (Mammola et al. 2019b). In this data paper, we describe these datasets and make them freely available online for future use. We aim to provide an accessible tool for exploring continental patterns of subterranean species distribution, as well as to further expand the CAWEB network and thus the geographical coverage of these datasets.

Geographic coverage

Description

Europe.

Coordinates

35.0 and 67.0 Latitude; –9.0 and 37.0 Longitude.

Usage rights

Use license

Creative Commons Public Domain Waiver (CC-Zero)

Data resources

Data package title

Cave_dwelling_spiders_Europe

Number of data sets

3

Data set 1.

Data set name

GBIF_occurrence_cave_spiders

Data format

Tab delimited file (.csv).

Number of columns

22

Download URL

https://doi.org/10.15468/ygocko

Description

A dataset with all the referenced distribution points of the species considered in the subterranean localities included in the CAWEB project. This biodiversity dataset is constructed following the Darwin Core standard.

Data set 2.

Cave_description Tab delimited file (.csv) 25 10.6084/m9.figshare.8224025 A dataset with all the information about the subterranean localities included in the CAWEB project. The R notation 'NA' is used for missing values.

Data set 3.

Community_composition Tab delimited file (.csv). 9 10.6084/m9.figshare.8224025 A dataset with the spider community composition (species presence/absence data) of each subterranean locality included in the CAWEB project.

Additional information

The CAWEB dataset comprises data for 475 subterranean localities (Fig. 1) in 27 European countries (Fig. 2). Spider communities refer to different types of caves (karst, talus, volcanic and ialine caves), artifical subterranean sites (mines, blockhouses, cellars etc.), as well as interstitial habitats. However, it is worth noting that the majority of records are from karst caves (Fig. 3), a typical bias in subterranean datasets (Mammola and Leroy 2018, Zagmajster et al. 2010, Niemiller and Zigler 2013, Christman and Culver 2002). These localities open in different types of habitats, with a prevalence of forests and shrublands (Fig. 5).
Figure 1.

Distribution of the subterranean localities in Europe included in the CAWEB dataset. Shades of grey represent altitude. Light blue patches are karst rocks, based on the World Map of Carbonate Rock Outcrops (version 3.0).

Figure 2.

Number of subterranean localities included in the CAWEB dataset for each European country.

Figure 3.

Number of records included in the dataset for each typology of subterranean locality.

Figure 5.

Number of records included in the CAWEB dataset for each typology of habitat at the entrance.

Subterranean localities included in the dataset account for over 300 spider species, that is more than half of the subterranean spider diversity in Europe (Mammola et al. 2018a). The number of spider species per cave ranges from 0 to 15 (mean= 4.3, s.d.= 2.35; Fig. 4). Altogether, these species account for 2,091 unique geo-referenced occurrence records across Europe. While most of the species in the dataset are recorded from one or a few caves, some troglophile species are more widely represented in the dataset (Fig. 6).
Figure 4.

Spider species richness in subterranean localities of the CAWEB dataset. Species richness is expressed as the number of species + morphospecies.

The over-arching goal of the CAWEB project was to assemble a continental dataset with information about the spider community composition of subterranean localities across the European latitudinal range. This dataset also contains local data on geomorphological and habitat features of these localities. Similar high-resolution data are rarely associated with broad-scale datasets used for macroecological analyses. Therefore, the CAWEB dataset can be used to explore a range of biogeographical and macroecological questions, potentially extending beyond arachnology and subterranean biology (see Mammola et al. 2019b for an example).
RankScientific NameCommon Name
order Araneae Spiders
Data set 1.
Column labelColumn description
idAn alphanumeric identifier ("Ara" followed by a progressive number; e.g. Ara0001) for the Occurrence (as opposed to a particular digital record of the occurrence).
basisOfRecordThe specific nature of the data record. Categorical vairable. Either 'PreservedSpecimens' (data record based on specimens stored in a museum or private collection), 'Literature' (data record based on literature information) or HumanObservation (data record based on personal observations by the author of each records). See "notes" and "referencesSpecies" columns in the "Cave description.csv" dataset for full bibliographic details.
collectionCodeFor "PreservedSpecimens", the name identifying the collection or dataset from which the record was derived. Note that, in spelling institutions and collection names, we have omitted accents (e.g. á, è, ò) and special characters (e.g. ä, č, ê) in order to avoid formatting problems.
informationWithheldAdditional information relative to each record, indicating the person to contact for information about the record. Note that, in spelling contact names, we have omitted accents (e.g. á, è, ò) and special characters (e.g. ä, č, ê) in order to avoid formatting problems.
datasetNameThe name of the dataset from which the record was derived.
bibliographicCitationThe bibliographic reference for the resource, indicating how individual records should be cited (attributed) when used.
countryThe name of the country or major administrative unit in which the verbatimLocality is situated.
locationIDAn identifier for the set of location information. Same as the column ID in the "Cave_description" dataset.
verbatimLocalityThe original textual description of the locality.
decimalLatitudeThe geographic latitude (in decimal degrees, using the spatial reference system given in geodeticDatum) of the geographic centre of a location.
decimalLongitudeThe geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum) of the geographic centre of a location.
geodeticDatumThe ellipsoid, geodetic datum or spatial reference system (SRS) upon which the geographic coordinates, given in decimalLatitude and decimalLongitude, are based.
georeferenceProtocolA description or reference to the methods used to determine the spatial footprint, coordinates and uncertainties.
phylumThe full scientific name of the phylum or division in which the taxon is classified.
classThe full scientific name of the class in which the taxon is classified.
orderThe full scientific name of the order in which the taxon is classified.
familyThe full scientific name of the family in which the taxon is classified.
genusThe full scientific name of the genus in which the taxon is classified.
specificEpithetSpecific epithet of the taxonomic record.
specificNameThe full scientific name, with authorship and date information if known.
scientificNameAuthorshipThe authorship information for the scientific name formatted according to the conventions of the applicable nomenclatural code.
taxonRankThe highest taxonomic rank in the specificName – either a genus or a species.
Data set 2.
Column labelColumn description
IDAn alphanumeric identifier ("CAVE_" followed by a progressive number; e.g. CAVE_001) for the subterranean locality. Note that the exact same "ID" is used in the "Community_composition" dataset, in order to unambiguously link each subterranean locality with its spider community's composition.
localityName of the cave/subterranean locality. Not translated in English.
countryThe name of the country or major administrative unit in which the subterranean locality is situated.
decimalLongitudeThe geographic longitude of the entrance of the subterranean locality.
decimalLatitudeThe geographic latitude of the entrance of the subterranean locality.
geodeticDatumThe ellipsoid, geodetic datum or spatial reference system (SRS) upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based.
elevationAltitude a.s.l. of the subterranean locality's main entrance in metres (m).
aspectThe direction that the main entrance of the cave/subterranean locality faces. Categorical variables. N = North; S = South; E = East; W = West; flat = entrance in a plane terrain.
entranceNumberNumber of known subterranean localities' entrances (if any).
entranceTypeThe general morphology of the subterranean locality's main entrance. Categorical variables. ascendent = ascending; descendent = descending entrance; horizontal = horizontal entrance; pit = vertical entrance.
entranceSizeSize (base x height) of the subterranean locality's main entrance in square metres (m2).
entranceHabitatPrevalent habitat in which the subterranean locality opens. Categorical variables. Either "agricultural", "forest", "grass", "rocky", "shrubs" or "urbanized".
entranceHabitatVerbatimA verbatim description of the habitat in which the subterranean locality opens.
developmentThe subterranean locality total planimetric development in metres (m).
positiveDropTotal ascent of the subterranean locality in metres (m).
negativeDropTotal descent of the subterranean locality in metres (m).
caveTypeThe type of subterranean locality. Categorical variable. Either "artificial" (e.g. mine, mineshafts, military bunkers, railways, subterranean blockhouses, cellars etc.), "ialine" (ialine caves), "ice" (ice caves), "karst" (karst caves, dolines etc.), "other" (other types; e.g. interstitial habitats), "tectonic" (talus caves, cracks, faults etc.), "volcanic" (volcanic caves, lava tubes etc.).
caveMorphologyThe general morphology of the subterranean locality (i.e. prevalent morphology along the locality). Categorical variables. ascendent = prevalently an ascending morphology; descendent = prevalently a descending morphology; horizontal = prevalently a horizontal morphology; pit = primarily a vertical pit/abyss.
caveActiveBinary variable. If the subterranean locality is active (1) or not (0). An active cave is a cave which has a stream flowing in it.
caveTouristicBinary variable. If the subterranean locality is open to general tourists (1) or not (0).
notesAdditional notes about the subterranean locality.
referencesLocalityReferences with additional information about the subterranean locality (if any).
referencesSpeciesReferences with additional information about the spider species reported for the subterranean locality (if any).
contributorNameName(s) of the person(s) who contributed information about the subterranean locality. Note that, in spelling contributors names, we have omitted accents (e.g. á, è, ò) and special characters (e.g. ä, č, ê) in order to avoid formatting problems.
contributorEmailE-mail adress(es) of the person(s) who contributed information about the subterranean locality.
Data set 3.
Column labelColumn description
FamilyThe full scientific name of the family in which the taxon is classified.
GenusThe full scientific name of the genus in which the taxon is classified.
SpeciesSpecies epithet of the scientificName.
AuthorThe authorship information for the scientificName formatted according to the conventions of the applicable nomenclaturalCode.
specificNameGenus and species combined together.
taxonRankThe highest taxonomic rank available (either genus or species).
AdaptationHabitat preference of the species. Note that accidental species are not included in the dataset – full details in Mammola et al. (2018a). Binary variable. Either troglobiont (1) or troglophile (0).
species_lsidUnique Life Science Identifier (LSID) for the taxon, based on the World Spider Catalog (doi: 10.24436/2). The LSID allows a user to keep track of taxonomical changes in the status of species or link together datasets regardless of taxonomical changes.
Alphanumeric codes (CAVE_number) in progressive orderEach column after the first eight columns is labelled with an alphanumeric identifier ("CAVE_", followed by a progressive number; e.g. CAVE_001), referring to the subterranean locality as in the column "ID" of the "Community_composition" dataset. For each Genus_species in the dataset, the presence (1) or absence (0) within the subterranean locality is indicated.
  10 in total

1.  High-stakes species delimitation in eyeless cave spiders (Cicurina, Dictynidae, Araneae) from central Texas.

Authors:  Marshal Hedin
Journal:  Mol Ecol       Date:  2015-01-10       Impact factor: 6.185

Review 2.  Spiders in caves.

Authors:  Stefano Mammola; Marco Isaia
Journal:  Proc Biol Sci       Date:  2017-04-26       Impact factor: 5.349

3.  Changes in the midgut cells in the European cave spider, Meta menardi, during starvation in spring and autumn.

Authors:  Saška Lipovšek; Gerd Leitinger; Tone Novak; Franc Janžekovič; Szymon Gorgoń; Karolina Kamińska; Magdalena Rost-Roszkowska
Journal:  Histochem Cell Biol       Date:  2017-11-22       Impact factor: 4.304

4.  Evidence of the most stretchable egg sac silk stalk, of the European spider of the year Meta menardi.

Authors:  Emiliano Lepore; Andrea Marchioro; Marco Isaia; Markus J Buehler; Nicola M Pugno
Journal:  PLoS One       Date:  2012-02-08       Impact factor: 3.240

5.  Ancient lineage, young troglobites: recent colonization of caves by Nesticella spiders.

Authors:  Yuanyuan Zhang; Shuqiang Li
Journal:  BMC Evol Biol       Date:  2013-09-04       Impact factor: 3.260

6.  High endemism at cave entrances: a case study of spiders of the genus Uthina.

Authors:  Zhiyuan Yao; Tingting Dong; Guo Zheng; Jinzhong Fu; Shuqiang Li
Journal:  Sci Rep       Date:  2016-10-24       Impact factor: 4.379

7.  Cave spiders choose optimal environmental factors with respect to the generated entropy when laying their cocoon.

Authors:  Eliodoro Chiavazzo; Marco Isaia; Stefano Mammola; Emiliano Lepore; Luigi Ventola; Pietro Asinari; Nicola Maria Pugno
Journal:  Sci Rep       Date:  2015-01-05       Impact factor: 4.379

8.  Ecology and life history of Meta bourneti (Araneae: Tetragnathidae) from Monte Albo (Sardinia, Italy).

Authors:  Enrico Lunghi
Journal:  PeerJ       Date:  2018-11-29       Impact factor: 2.984

9.  Patterns of cave biodiversity and endemism in the Appalachians and Interior Plateau of Tennessee, USA.

Authors:  Matthew L Niemiller; Kirk S Zigler
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

10.  Changes in the midgut diverticula epithelial cells of the European cave spider, Meta menardi, under controlled winter starvation.

Authors:  Saška Lipovšek; Tone Novak; Franc Janžekovič; Nina Brdelak; Gerd Leitinger
Journal:  Sci Rep       Date:  2018-09-11       Impact factor: 4.379

  10 in total
  4 in total

1.  Local- versus broad-scale environmental drivers of continental β-diversity patterns in subterranean spider communities across Europe.

Authors:  Stefano Mammola; Pedro Cardoso; Dorottya Angyal; Gergely Balázs; Theo Blick; Hervé Brustel; Julian Carter; Srećko Ćurčić; Samuel Danflous; László Dányi; Sylvain Déjean; Christo Deltshev; Mert Elverici; Jon Fernández; Fulvio Gasparo; Marjan Komnenov; Christian Komposch; L'ubomír Kováč; Kadir Boğaç Kunt; Andrej Mock; Oana Teodora Moldovan; Maria Naumova; Martina Pavlek; Carlos E Prieto; Carles Ribera; Robert Rozwałka; Vlastimil Růžička; Robert S Vargovitsh; Stefan Zaenker; Marco Isaia
Journal:  Proc Biol Sci       Date:  2019-10-30       Impact factor: 5.349

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

Authors:  Enrico Lunghi; Claudia Corti; Manuela Mulargia; Yahui Zhao; Raoul Manenti; Gentile Francesco Ficetola; Michael Veith
Journal:  Biodivers Data J       Date:  2020-02-03

3.  A trait database and updated checklist for European subterranean spiders.

Authors:  Stefano Mammola; Martina Pavlek; Bernhard A Huber; Marco Isaia; Francesco Ballarin; Marco Tolve; Iva Čupić; Thomas Hesselberg; Enrico Lunghi; Samuel Mouron; Caio Graco-Roza; Pedro Cardoso
Journal:  Sci Data       Date:  2022-05-26       Impact factor: 8.501

4.  Updating salamander datasets with phenotypic and stomach content information for two mainland Speleomantes.

Authors:  Enrico Lunghi; Fabio Cianferoni; Simone Giachello; Yahui Zhao; Raoul Manenti; Claudia Corti; Gentile Francesco Ficetola
Journal:  Sci Data       Date:  2021-06-09       Impact factor: 6.444

  4 in total

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