Biodiversity Data Journal : Taxonomic Paper
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Taxonomic Paper
A DNA barcode-assisted annotated checklist of the spider (Arachnida, Araneae) communities associated to white oak woodlands in Spanish National Parks
expand article infoLuís C Crespo‡,§, Marc Domènech, Alba Enguídanos, Jagoba Malumbres-Olarte‡,§,|, Pedro Cardoso§, Jordi Moya-Laraño, Cristina Frías-López#, Nuria Macías-Hernández§,¤, Eva De Mas, Paola Mazzuca, Elisa Mora, Vera Opatova‡,«, Enric Planas, Carles Ribera, Marcos Roca-Cusachs», Dolores Ruiz, Pedro Sousa˄, Vanina Tonzo, Miquel A. Arnedo
‡ Department of Evolutionary Biology, Ecology and Environmental Sciences & Biodiversity Research Institute (IRBio), Universitat de Barcelona, Av. Diagonal 643, E-08028, Barcelona, Spain
§ Laboratory for Integrative Biodiversity Research, Finnish Museum of Natural History, University of Helsinki; PO Box 17, 00014, Helsinki, Finland
| cE3c - Centre for Ecology, Evolution and Environmental Changes, University of the Azores; Rua Capitão João d´Ávila, Pico da Urze, 9700-042 , Angra do Heroísmo, Terceira, Azores, Portugal
¶ Department of Functional and Evolutionary Ecology, Estación Experimenta de Zonas Áridas (EEZA, CSIC); Carretera de Sacramento, s/n. La Cañada de San Urbano 04120, Almeria, Spain
# Department of Genetics, Microbiology and Statistics, & Biodiversity Research Institute (IRBio), Universitat de Barcelona, Av. Diagonal 643, E-08028, Barcelona, Spain
¤ Island Ecology and Evolution Research Group, Instituto de Productos Naturales y Agrobiologíıa, C/Astrofísico Francisco Sánchez 3, La Laguna, Tenerife, Canary Islands, Spain
« Department of Entomology and Nematology, University of California, Davis, CA 95616, Davis, United States of America
» Laboratory of Systematic Entomology in the Department of Applied Biology of Chungnam National University, Daejeon, Korea, South
˄ CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vila do Conde, Portugal
Open Access

Abstract

Background

A large scale semi-quantitative biodiversity assessment was conducted in white oak woodlands in areas included in the Spanish Network of National Parks, as part of a project aimed at revealing biogeographic patterns and identify biodiversity drivers. The semi-quantitative COBRA sampling protocol was conducted in sixteen 1-ha plots across six national parks using a nested design. All adult specimens were identified to species level based on morphology. Uncertain delimitations and identifications due to either limited information of diagnostic characters or conflicting taxonomy were further investigated using DNA barcode information.

New information

We identified 376 species belonging to 190 genera in 39 families, from the 8,521 adults found amongst the 20,539 collected specimens. Faunistic results include the discovery of 7 new species to the Iberian Peninsula, 3 new species to Spain and 11 putative new species to science. As largely expected by environmental features, the southern parks showed a higher proportion of Iberian and Mediterranean species than the northern parks, where the Palearctic elements were largely dominant. The analysis of approximately 3,200 DNA barcodes generated in the present study, corroborated and provided finer resolution to the morphologically based delimitation and identification of specimens in some taxonomically challenging families. Specifically, molecular data confirmed putative new species with diagnosable morphology, identified overlooked lineages that may constitute new species, confirmed assignment of specimens of unknown sexes to species and identified cases of misidentifications and phenotypic polymorphisms.

Keywords

DNA barcoding, faunistics, COBRA protocol, Mediterranean region, Iberian Peninsula, Dictynidae, Gnaphosidae, Linyphiidae, Philodromidae

Introduction

The Iberian Peninsula is one of the most diverse regions in the Mediterranean Basin because of its location at the crossroads between Europe and Africa and its complex orography and variable climate, ranging from a central and southern Mediterranean climate to a northern Eurosiberian one. The high level of species richness in the Iberian Peninsula is particularly evident in spiders (Carvalho et al. 2012, Carvalho et al. 2011, Jiménez-Valverde et al. 2010), where approximately 1,400 species have been catalogued to date (Morano et al. 2014). The Iberian biota is also highly endemic and threatened, with most of the south of the peninsula being identified as one of the most important biodiversity hotspots in the Mediterranean region (Medail and Quezel 1999). Amongst the order Araneae, 18% of the species in the Iberian Peninsula are Iberian endemics, a value that rises above 50% in families such as Dysderidae C. L. Koch, 1837, Zodariidae Thorell, 1881 or Nemesiidae Simon, 1889 (Cardoso and Morano 2010, Morano et al. 2014).

Despite the high number of spiders recorded in the Iberian Peninsula, the species-richness is lower than in neighbouring countries of similar size, yet less complex or younger geological history, such as France (1587 species) (Nentwig et al. 2017) or Italy (1632 species) (Pantini and Isaia 2017). The relatively shorter tradition in natural history of Iberian countries leads us to suspect that the Iberian arachnofauna is fewer because it is far from being fully catalogued, which is one of the main impediments for invertebrate conservation in the region (Cardoso et al. 2011). Gradually, new faunistic records are helping to build up our knowledge on both the richness and distribution of Iberian species (Barrientos and Fernández 2015, Barrientos et al. 2014, Barrientos et al. 2015a, Barrientos et al. 2015b, Barrientos et al. 2016, Barriga et al. 2007, Cardenas and Barrientos 2011, Jimenez-Segura et al. 2017, Melic et al. 2016, Pérez 2016, Pérez and Castro 2016, Pérez et al. 2015). Unfortunately, many specimens acquired in local ecological assessments frequently remain unidentified in collections due to either a lack of expertise or informative taxonomic literature. Diverse taxa such as Nemesiidae, Dysderidae, Gnaphosidae or Oonopidae continue to demand revisionary taxonomic work, which, given the current downward trend in funding for basic taxonomic research and the time needed to complete these thorough works, can only be afforded by a decreasing number of taxonomists.

The use of DNA barcoding – standardised, short fragments of DNA, as a species identifier (Hebert et al. 2003) – has become very popular amongst spider taxonomists (Astrin et al. 2016, Barrett and Hebert 2005, Blagoev et al. 2013, Blagoev et al. 2015, Candek and Kuntner 2015, Castalanelli et al. 2014, Robinson et al. 2009). Although the use of DNA barcoding is not yet fully incorporated into standard diversity assessments, when available, this tool provides many advantages to the taxonomists working on a medium- or large-sized collection of spiders. DNA barcodes can facilitate and accelerate taxonomic research by increasing the ability of matching individuals regardless of sex, stage or body parts, identifying specimens with morphological diagnostic characters either subtle, difficult to visualise or absent or reassessing intraspecific polymorphisms.

Here we present the checklist of spider species identified from the adult specimens collected as part of a large-scale biodiversity assessment of the spider communities in white-oak (Quercus L.) woodlands across the Spanish Natural Parks Network (hereafter referred to as the IBERCODING project). Specimens were collected using the COBRA protocol (Cardoso 2009), a semi-quantitative sampling protocol initially designed to assess biodiversity patterns in Mediterranean spider communities and then adapted to other habitats (Malumbres-Olarte et al. 2017) and potentially extendable to other taxa. The identification of the collected specimens is the first necessary step towards calculating α- and β-diversity values across broad geographic and climatic ranges and ultimately inferring the drivers responsible for those patterns.

We chose to focus on white-oak forests because they represent common forests in the focal national parks and their high levels of endemicity (Franco 1990), relevance for conservation (García and Mejías 2009, Marañón and Pérez-Ramos 2009) and relatively well-characterised evolutionary history in the Iberian Peninsula (Olalde et al. 2002, Petit et al. 2002).

As part of the IBERCODING project, we generated DNA barcodes for more than 3,200 specimens with the aim of revealing fine scale geographic patterns in genetic diversity, retrieving phylogenetic information for assessing phylogenetic diversity of communities and facilitating sorting and identification of the specimens.

The present publication focuses on the identification of the individuals collected, with comments on their distribution and spatial location, as well as new records to the region and the discovery of putative new species. The availability of DNA barcodes helped identification and delimitation in some taxonomically challenging groups, such as the families Dictynidae, Gnaphosidae, Linyphiidae or Philodromidae We characterised the biogeographic patterns of the different plots and parks based on the species distribution information available in the literature and complemented it with our own data.

Materials and methods

Study area

Spider communities were sampled in white oak and related oak forests from six Spanish national parks (Fig. 1), namely Picos de Europa (P), Ordesa y Monte Perdido (O), Aigüestortes i Estany de Sant Maurici (A) (hereafter referred to as the northern parks) Fig. 2), Monfragüe (M), Cabañeros (C) and Sierra Nevada (S) (hereafter referred to as the southern parks) (Fig. 3). The chosen parks fulfilled three conditions: (1) they had representative white oak forests, (2) they represented the main biogeographic areas within the Iberian Peninsula (Atlantic, Alpine and Mediterranean) (European Environment Agency 2012) and (3) they covered a broad latitudinal and elevational gradient within the Iberian Peninsula. The selected parks spanned distances ranging from 80 km apart (A to O) to 720 km (S to A) and elevations from 320 m (Monfragüe) to 1786 m (Sierra Nevada). Sampling was conducted between May and June, when the richness and abundance of adult spiders in Mediterranean habitats are at its maximum (Cardoso et al. 2007), in two consecutive years, 2013 for the northern parks and 2014 for the southern parks. Two replicates (plots) were set up in each park, except in Picos de Europa and Cabañeros, where two different types of oak forest were available and hence two replicates were set up per forest type, resulting in a total of 16 plots (northern parks P=4, O=2, A=2; southern parks M=2, C=4 S=2, respectively). Additional details of the sampling plots are available in Table 1.

Information on the sampling sites. Site codes are derived from abbreviated park names. Geographical coordinates are given in the format of decimal degrees (DD).

Site code

Region

Province

Locality

Coordinates (Lat. / Lon.)

Altitude (m)

Collection dates

Habitat

P1

Castilla y Leon

Leon

Monte Robledo

43.14450 / -4.92675

1071.6

7.VI.2013–21.VI.2013

Quercus petraea

P2

Castilla y Leon

Leon

Joyoguelas

43.17771 / -4.90579

764.0

7.VI.2013–22.VI.2013

Quercus faginea

P3

Castilla y Leon

Leon

Las Arroyas

43.14351 / -4.94878

1097.1

8.VI.2013–23.VI.2013

Quercus petraea

P4

Castilla y Leon

Leon

El Canto

43.17227 / -4.90857

943.5

9.VI.2013–24.VI.2013

Quercus faginea

O1

Aragon

Huesca

O Furno

42.60677 / 0.13135

1396.7

12.VI.2013–26.VI.2013

Quercus subpyrenaica

O2

Aragon

Huesca

Rebilla

42.59427 / 0.15290

1158.1

13.VI.2013–27.VI.2013

Quercus subpyrenaica

A1

Catalonia

Lleida

Sola de Boi

42.54958 / -0.87254

1759.8

15.VI.2013–29.VI.2013

Quercus pubescens

A2

Catalonia

Lleida

Sola de Boi

42.54913 / 0.87137

1738.7

16.VI.2013–30.VI.2013

Quercus pubescens

M1

Extremadura

Cáceres

Peña Falcón

39.83296 / -6.06410

320.6

23.V.2014–6.VI.2014

Quercus faginea

M2

Extremadura

Cáceres

Fuente del Frances

39.82800 / -6.03249

320.7

24.V.2014–7.VI.2014

Quercus faginea

C1

Castilla-La Mancha

Ciudad Real

Valle Brezoso

39.35663 / -4.35912

756.6

27.V.2014–9.VI.2014

Quercus pyrenaica

C2

Castilla-La Mancha

Ciudad Real

Valle Brezoso

39.35159 / -4.35890

739.3

28.V.2014–10.VI.2014

Quercus pyrenaica

C3

Castilla-La Mancha

Ciudad Real

La Quesera

39.36177 / -4.41733

767.6

29.V.2014–11.VI.2014

Quercus faginea

C4

Castilla-La Mancha

Ciudad Real

La Quesera

39.36337 / -4.41704

772.3

30.V.2014–12.VI.2014

Quercus faginea

S1

Andalucia

Granada

Soportujar

36.96151 / -3.41881

1786.6

31.V.2014–14.VI.2014

Quercus pyrenaica

S2

Andalucia

Granada

Camarate

37.18377 / -3.26282

1714.0

1.VI.2014–15.VI.2014

Quercus pyrenaica

Figure 1.  

Map of the Iberian Peninsula with the location of the national parks and the plots where the sampling protocol COBRA was applied. For each park, squares denote the number of plots and the oak forest type (colour code labels in the inset). Northern parks are Picos de Europa (P), Ordesa (O), Aigüestortes (A). Southern parks Monfragüe (M), Cabañeros (C), Sierra Nevada (S). See Table 1 for additional information on plots and parks.

Figure 2.

Pictures of collection localities

aP1 plot Monte Robledo, Quercus petraea forest  
bP4 plot El Canto, Q. faginea forest (detail leaflitter)  
cO1 plot O Furno, Q. subpyrenaica forest  
dA2 plot Sola de Boi, Q. pubescens forest  
Figure 3.

Pictures of collection localities:

aM2 plot Fuente del Frances, Quercus faginea forest  
bC1 plot Valle Brezoso, Q. pirenaica  
cC3 plot La Quesera, Q. faginea forest  
dS2 plot Camarate, Q. pyrenaica  

Sample collection

In each plot, a COBRA 50 sampling protocol was conducted, which is specifically designed to collect 50% of the spider diversity in the sampling area in an optimised manner (Cardoso 2009). This protocol consists of using different sampling methods to obtain the maximum possible number of species. Direct sampling (methods that require the presence of the collector and her/ his active participation in the specimen capture) were foliage beating, vegetation sweeping and aerial hand collection. For foliage beating, a 1 m2 beating tray and a wooden pole were used to beat tree branches as high as possible. For vegetation sweeping, a round sweep net with a diameter of 58 cm was used to sweep tall plants and bushes, below the collector‘s waist. Aerial hand collection was done through visual inspection and hand-capture (aided by forceps, pooter or brush, if needed) on the vegetation above knee-level. The maximum possible number of spiders was caught and transferred to a vial with ethanol. Each sampling consisted of one hour of continuous collecting by one collector. In two plots (P1, A1), we conducted two additional ground hand collecting samples but focused on specimens present below knee-level.

Indirect sampling (techniques that do not involve the presence of the collector), consisted in the use of pitfall traps, i.e. vessels 7.5 cm in diameter buried in the ground with the rim at the ground level and filled with propylene glycol, which preserved spiders for both morphologic and genetic analyses. A few detergent drops were added to the liquid to break the surface tension and to allow spiders to sink to the bottom of the vessel. Pitfalls were covered with labelled plastic caps, held about 1 cm above the ground by four short wires anchored to the ground, in order to prevent the fall of debris into the trap and propylene glycol dilution or overflow caused by rainwater.

Direct sampling in each plot consisted of 2 hours of diurnal and 2 hours of nocturnal foliage beating, 2 hours of diurnal and 2 hours of nocturnal vegetation sweeping and 4 hours of nocturnal aerial hand collecting, which totals 12 hours of sampling, equating to 12 man-hours of sampling. Indirect samples were uniformly distributed within each plot in groups of 4 pitfalls, set in squares with 5 m sides. The traps were left active during two weeks. For subsequent analyses, each group of 4 contiguous pitfall traps were combined and considered as a single sample, which totals 12 indirect samples (Carvalho et al. 2011). All in all, the study included 388 samples (24 samples per plot x 16 plots + 2 extra ground samples x 2 plots, P1 and A1, respectively).

Identification of specimens

All adults were identified, when possible, to species level. Amongt a wide spectrum of taxonomic literature, the “Araneae: Spiders of Europe” database was used to identify most of the known species found in the samples (Nentwig et al. 2017). Identifications were made mainly with the use of a ZEISS Stemi 2000 stereomicroscope. Images were taken with a Leica DFC 450 camera attached to a Leica MZ 16A stereomicroscope, using the software Leica Application Suite v4.4. After collection, specimens were stored in 95% ethanol and kept at -20ºC in Falcon vials until these were sequentially sorted and identified (materials from the northern parks were collected and sorted before the materials from the southern parks), from which they were moved to smaller vials of 2 ml and returned to -20ºC, for subsequent genetic analyses.

Annotated checklist

For each species, we provided the number of male and female specimens identified by plot (see abbreviations in Table 1) and collecting technique, namely foliage beating (beating), vegetation sweeping (sweeping), aerial hand collection and pitfall trapping. Unidentified morphs and putative new species were provisionally labelled using the genus name and a sequential numeration (e.g. Brigittea sp04). Distributions were based on information available in public databases (Nentwig et al. 2017, World Spider Catalog 2018).

Molecular procedures

DNA barcodes were obtained from all sampled species – five individuals were analysed per morpho-species and per plot when possible, as many species collected without taxonomic targeting are usually found in singletons or doubletons. Legs were used for DNA extraction and the rest of the individual was kept as a voucher, although for small species, the entire specimen was used. In these cases, the extractions were non-destructive (i.e. specimens were not ground up) and specimens were recovered as vouchers after the lyses of soft internal tissues. Total genomic DNA was extracted using the REDExtract-N-Amp™ Tissue PCR Kit Protocol from Sigma-Aldrich, following the manufacturer’s protocol and performed in 96 well-plates. The primers used for amplification are listed in Table 2. The LCOI1490/HCO2198 was the preferred combination, while Nancy was used as a replacement for HCOI2198 and Ron as replacement for LCOI1490 (in that order). For problematic amplifications, we used the internal primers mlCOIintF/jgHCOI2198. The polymerase chain reaction (PCR) was performed in 96-well plates using 8 µl REDExtract-N-Amp™ PCR ReadyMix from Sigma-Aldrich, primers forward and reverse, 4 µl of diluted DNA and ultrapure, distilled water up to a total reaction volume of 20 µl. PCR conditions were as follows: initial denaturing step at 95°C for 5 min, 35 amplification cycles (94°C for 30 s, 45°C for 35 s, 72°C for 45 s) and a final step at 72°C for 5 min. In some cases a Touchdown protocol was used, consisting of 16 cycles of annealing temperature starting at 62°C and decreasing 1°C each cycle and 25 additional cycles of annealing at 46°C. PCR products were cycle-sequenced in both directions at Macrogen Inc. (Seoul, South Korea).

Primers used for amplification.

Location

Nickname

Sequence

Reference

C1-J-1490

LCOI1490

GGTCAACAAATCATAAAGATATTGG

Folmer et al. 1994

C1-N-2198

HCOI2198

TAAACTTCAGGGTGACCAAAAAATCA

Folmer et al. 1994

C1-N-2191

Nancy

CCCGGTAAAATTAAAATATAAACTTC

Simon et al. 1994

C1-J-1751

Ron

GGATCACCTGATATAGCATTCCC

Simon et al. 1994

C1-J-1834

mlCOIintF

GGWACWGGWTGAACWGTWTAYCCYCC

Leray et al. 2013

C1-N-2198

jgHCOI2198

TAIACYTCIGGRTGICCRAARAAYCA

Leray et al. 2013

Raw chromatograms were assembled, edited and further manipulated using the software Geneious v7.1.9 (Kearse et al. 2012).

DNA barcode analysis

Although DNA barcodes were obtained for all species, we decided to investigate a step further with several families that presented us with cases of incongruence between morphology-based identification and genetic-based identification, namely the Dictynidae, Gnaphosidae, Linyphiidae and Philodromidae. Alignments were obtained by combining all DNA barcodes of focal species (see Results) for each family. We inferred the maximum-likelihood tree for each alignment by finding the best partition scheme first (Kalyaanamoorthy et al. 2017), followed by tree inference using the edge-linked partition model in the IQ-TREE software v1.6.1 (Chernomor et al. 2016, Nguyen et al. 2015). The best tree was then used to delimit putative species using the mPTP algorithm (Kapli et al. 2017). The mPTP method allows identifying species boundaries based on branch lengths obtained from a single-locus, without the need for an ultrametric tree and has been shown to generate more stable outputs than alternative approaches (Blair and Bryson 2017). Genetic distances within and between the clusters identified by mPTP were estimated using the Kimura 2 parameter model (Kimura 1980) in MEGA v.6 (Tamura et al. 2013). One DNA barcode per genetic cluster was further used for automatic identification using BOLD (Ratnasingham and Hebert 2007).

Biogeographic composition

The delimited and identified species were subsequently grouped in four groups, namely "Cosmopolitan", "Palearctic", "Mediterranean" and "Iberian", based on the distribution information available at the World Spider Catalog 2018, further refined with our own species presence data (see Suppl. material 1. We note that species found only in Iberia were considered Iberian and not Mediterranean and the species recorded only in countries of the Mediterranean basin (including north-African countries) were considered Mediterranean and not Palearctic. Percentage of each of the four groups per plot were estimated and visualised using R (R Development Core Team 2017).

Checklist of spider (Arachnida, Araneae) communities of white oak woodlands of Spanish National Parks

Family Agelenidae C. L. Koch, 1837

Material    Download as CSV 

Eratigena feminea (Simon, 1870)

Materials    Download as CSV 
  1. locationID:
    C1
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Castilla-La Mancha
    ; county:
    Ciudad Real
    ; locality:
    Valle Brezoso
    ; verbatimElevation:
    756.56
    ; decimalLatitude:
    39.35663
    ; decimalLongitude:
    -4.35912
    ; geodeticDatum:
    WGS84
    ; eventID:
    A
    ; samplingProtocol:
    Pitfall
    ; individualCount:
    1
    ; sex:
    female
  2. locationID:
    S2
    ; continent:
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    ; country:
    Spain
    ; countryCode:
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    ; stateProvince:
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    ; county:
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    ; locality:
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    ; verbatimElevation:
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    ; decimalLatitude:
    37.18377
    ; decimalLongitude:
    -3.26282
    ; geodeticDatum:
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    ; eventID:
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    ; samplingProtocol:
    Pitfall
    ; individualCount:
    1
    ; sex:
    male
Distribution: 
Iberian Peninsula, Madeira, Algeria

Eratigena fuesslini (Pavesi, 1873)

Materials    Download as CSV 
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    A1
    ; continent:
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    ; country:
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    ; verbatimElevation:
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    ; decimalLatitude:
    42.54958
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    Europe
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    Europe
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    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
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    Castilla y León
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    León
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    ; sex:
    male
  50. locationID:
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    Europe
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    Spain
    ; countryCode:
    ES
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    ; sex:
    male
Distribution: 
Europe

Eratigena inermis (Simon, 1870)

Materials    Download as CSV 
  1. locationID:
    P1
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Castilla y León
    ; county:
    León
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    ; samplingProtocol:
    Aerial
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    Night
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    ; sex:
    female
  2. locationID:
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    Europe
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    ; sex:
    male
  3. locationID:
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    ; decimalLongitude:
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    ; geodeticDatum:
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    ; samplingProtocol:
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    ; eventTime:
    Day
    ; individualCount:
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    ; sex:
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  4. locationID:
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    ; continent:
    Europe
    ; country:
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    ; countryCode:
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    Day
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    ; country:
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    ; countryCode:
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    ; stateProvince:
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    ; county:
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    Europe
    ; country:
    Spain
    ; countryCode:
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    ; decimalLongitude:
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    ; samplingProtocol:
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    ; eventTime:
    Night
    ; individualCount:
    1
    ; sex:
    male
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    P2
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
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    ; stateProvince:
    Castilla y León
    ; county:
    León
    ; locality:
    Joyoguelas
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    ; sex:
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  8. locationID:
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    Spain
    ; countryCode:
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    ; stateProvince:
    Castilla y León
    ; county:
    León
    ; locality:
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    ; verbatimElevation:
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    ; samplingProtocol:
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    ; eventTime:
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    ; individualCount:
    1
    ; sex:
    female
  9. locationID:
    P4
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
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    ; stateProvince:
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    ; county:
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    ; locality:
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    ; verbatimElevation:
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    ; decimalLatitude:
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    ; geodeticDatum:
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    ; samplingProtocol:
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    ; eventTime:
    Night
    ; individualCount:
    1
    ; sex:
    male
Distribution: 
Iberian Peninsula, France

Eratigena montigena (Simon, 1937)

Materials    Download as CSV 
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    ; continent:
    Europe
    ; country:
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    ; countryCode:
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    ; sex:
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  8. locationID:
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    ; continent:
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    ; countryCode:
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    ; sex:
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  10. locationID:
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    ; continent:
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    ; sex:
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  11. locationID:
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    ; countryCode:
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  12. locationID:
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    ; continent:
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    ; country:
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  13. locationID:
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  16. locationID:
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    ; continent:
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    Europe
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    Spain
    ; countryCode:
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  90. locationID:
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    ; countryCode:
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    ; sex:
    female
Distribution: 
Iberian Peninsula

Eratigena picta (Simon, 1870)

Materials    Download as CSV 
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    ; continent:
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    ; country:
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    ; sex:
    female
Distribution: 
Europe, Russia, North Africa

Malthonica lusitanica Simon, 1898

Materials    Download as CSV 
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    ; continent:
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    ; country:
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    León
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    Europe
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    Spain
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    León
    ; locality:
    El Canto
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    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
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    Castilla y León
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    León
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    ; samplingProtocol:
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Distribution: 
Portugal to France

Textrix caudata L. Koch, 1872

Materials    Download as CSV 
  1. locationID:
    S1
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
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    ; country:
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    Europe
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Distribution: 
Mediterranean, introduced in Central Europe

Textrix denticulata (Olivier, 1789)

Materials    Download as CSV 
  1. locationID:
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    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Catalonia
    ; county:
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    ; county:
    León
    ; locality:
    El Canto
    ; verbatimElevation:
    943.48
    ; decimalLatitude:
    43.17227
    ; decimalLongitude:
    -4.90857
    ; geodeticDatum:
    WGS84
    ; eventID:
    1
    ; samplingProtocol:
    Aerial
    ; eventTime:
    Night
    ; individualCount:
    1
    ; sex:
    female
  21. locationID:
    P4
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Castilla y León
    ; county:
    León
    ; locality:
    El Canto
    ; verbatimElevation:
    943.48
    ; decimalLatitude:
    43.17227
    ; decimalLongitude:
    -4.90857
    ; geodeticDatum:
    WGS84
    ; eventID:
    2
    ; samplingProtocol:
    Aerial
    ; eventTime:
    Night
    ; individualCount:
    1
    ; sex:
    female
Distribution: 
Europe

Textrix pinicola Simon, 1875

Materials    Download as CSV 
  1. locationID:
    M1
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Extremadura
    ; county:
    Cáceres
    ; locality:
    Peña Falcón
    ; verbatimElevation:
    320.6
    ; decimalLatitude:
    39.83296
    ; decimalLongitude:
    -6.0641
    ; geodeticDatum:
    WGS84
    ; eventID:
    C
    ; samplingProtocol:
    Pitfall
    ; individualCount:
    2
    ; sex:
    male
  2. locationID:
    M2
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Extremadura
    ; county:
    Cáceres
    ; locality:
    Fuente del Frances
    ; verbatimElevation:
    320.72
    ; decimalLatitude:
    39.828
    ; decimalLongitude:
    -6.03249
    ; geodeticDatum:
    WGS84
    ; eventID:
    2
    ; samplingProtocol:
    Aerial
    ; eventTime:
    Night
    ; individualCount:
    1
    ; sex:
    female
  3. locationID:
    M2
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Extremadura
    ; county:
    Cáceres
    ; locality:
    Fuente del Frances
    ; verbatimElevation:
    320.72
    ; decimalLatitude:
    39.828
    ; decimalLongitude:
    -6.03249
    ; geodeticDatum:
    WGS84
    ; eventID:
    3
    ; samplingProtocol:
    Aerial
    ; eventTime:
    Night
    ; individualCount:
    1
    ; sex:
    male
  4. locationID:
    M2
    ; continent:
    Europe
    ; country:
    Spain
    ; countryCode:
    ES
    ; stateProvince:
    Extremadura
    ; county:
    Cáceres
    ; locality:
    Fuente del Frances
    ; verbatimElevation:
    320.72
    ; decimalLatitude:
    39.828
    ; decimalLongitude:
    -6.03249
    ; geodeticDatum:
    WGS84
    ; samplingProtocol:
    Pitfall
    ; individualCount:
    2
    ; sex:
    male
  5. locationID:
    M2
    ; continent:
    Europe
    ; country: