Abstract
Background
We present six datasets of saproxylic beetles collected between 2012 and 2018 in Central and Southern Italian forests. Saproxylics represent one of the main components in forest ecosystems in terms of diversity, species richness and functional traits and, for this reason, they are an important target group for studying the modification of forests over time. The datasets consist of annotated checklists and were published on Zenodo repository.
New information
Overall, 1,171 records are published, corresponding to 918 taxa (taxonomy at species or subspecies level). The taxa are scarcely shared amongst the areas, 80.2% of them are exclusive, indicating that the beetle communities are substantially different. In consideration of the biodiversity crisis we are passing through, which is especially dramatic for the insects, we want to promotecollaboration amongst researchers for making datasets available in open repositories. This will improve the possibility for researchers and forest managers of analysing the state of species distribution that could serve for long-term studies on the variation of insect communities. We encourage repeating species assessment in the same localities in order to evaluate the trends in insect communities over time and space.
Keywords: biodiversity crisis, datasets, forest ecosystems, insect communities, Zenodo repository
Introduction
The insect decline is one of the most crucial biological crises we are facing in the Anthropocene (Wagner et al. 2021).
Insects are affected by a global decline in terms of individual abundance as demonstrated by much experimental evidence: a change in aerial insect biomass in outhern Britain have been analysed over 31 years by Shortall et al. (2009); Hallmann et al. (2017) registered a decline of 76% in flying insect biomass over 27 years in protected nature areas in Germany; Lister and Garcia (2018), comparing arthropod biomass captured in 1976 with samples of 2011, 2012 and 2013 in a rainforest in Puerto Rico, found values from 4 to 8 times lower.
The decrease in insect species number has also been the object of several studies: Forister et al. (2010) analysed 30 years of butterfly presence-absence data in western North America and found a decline of richness at the lowest-elevation sites; Biesmeijer et al. (2006) found a significant fall in diversity in Britain and The Netherlands pre-versus post-1980 in a study on the insect extinction determined by urbanisation; Fattorini (2011) calculated an impressive decline of species amongst butterflies (i.e. Cacyreusmarshalli), tenebrionid beetles (i.e. Alphitophagusbifasciatus, Gnatoceruscornutus, Latheticusoryzae, Triboliumcastaneum, Triboliumconfusum and Alphitobius diaperinus) and scarabaeoids from 1885 to 1999, even if with different patterns; over two decades, the European Butterfly Indicator shows a dramatic loss of grassland biodiversity (half of the species has declined) (Van Swaay et al. 2010).
In their comprehensive review, Sanchez-Bayo and Wyckhuys 2019 have estimated that the current proportion of insect species in decline (41%) is twice as high as that of vertebrates and the pace of local species extinction (10%) is eight times higher. Insects are facing an unprecedented decline, which has globally reached alarming proportions, especially in the last two decades: even a third of the considered beetle species are at risk of extinction and almost half of studied bees and ants is threatened (Sanchez-Bayo and Wyckhuys 2019).
mportant evidence of the insect decline comes from the number of threatened species reported by the IUCN European Red Lists (Table 1) that ranges from 9% to 26% as a proportion of the total number of species assessed at European level for taxonomic groups. These documents provide other significant data, the high number of “data deficient” records (i.e. species whose sufficient knowledge in terms of life cycles and ecological traits is too poor and there were no assessments according with the IUCN criteria) indicating that decline of the most common species is generally neglected. In some cases (i.e. bees, Andrenidae, Apidae, Colletidae, Halictidae, Megachilidae, Melittidae families), for more than half of the species, the available data are not sufficient (Table 1). Globally, of more than 1 million of the estimated number of species, only 0.9% have yet been evaluated by IUCN.
Table 1.
Number in % of threatened species reported by the IUCN European Red Lists.
| Insect group | Threatened species all Europe, % | Threatened species EU27/28 level, % | Data deficient all Europe, % | Data deficient EU27/28 level, % | Reference |
| Saproxylic beetles | 17.9 | 21.7 | 24.4 | 20.4 | Calix et al. (2018) |
| Grasshoppers, crickets and bush-crickets | 25.7 | 28 | 10 | 8.5 | Hochkirch et al. (2016) |
| Dragonflies | 15 | 16.4 | 3.6 | 2.2 | Kalkman et al. (2010) |
| Bees | 9.2 | 9.1 | 56.7 | 55.6 | Nieto et al. (2014) |
| Butterflies | 9 | 7 | 0.9 | 0.9 | Van Swaay et al. (2010) |
| Insect group | Threatened species | Data deficient | Reference | ||
| Mediterranean butterflies | 5 | 6 | Numa et al. (2016) | ||
Europe is aware of this phenomenon; the EU Biodiversity Strategy for 2030 (Brussels, 20.5.2020 COM(2020) 380 final) highlights the alarming decline of insects, particularly pollinators and their role as key indicators of the health of agroecosystems. It states the full implementation of the EU Pollinators initiative (Brussels, 1.6.2018 COM (2018) 395 final) and the reversion of the decline in pollinators by 2030.
To make the strategy effective, an analysis of drivers for the insect decline (Sanchez-Bayo and Wyckhuys 2019) should be associated with long term monitoring plans and collection of diversity data. At the moment, very few standardised datasets are available for long-term analysis and spatial records of insects are very scarce worldwide (Rocha-Ortega et al. 2021). Our data paper proposes to answer the call of “urgent need of data”, which is particularly needed for insects with no economic value, launched by Wagner (2020) and to the appeal launched by Cardoso et al. (2020), for urgent actions towards insect extinctions which includes the necessity to fill many gaps in the knowledge of species presence and distribution. Moreover, we encourage using our datasets as point “0” for further investigations.
In this paper, we focus on the communities of beetles inhabiting the Italian forests. Amongst them, the saproxylics represent one of the main components, in terms of diversity, species richness and functional traits (Parisi et al. 2018, Seibold et al. 2021, Thorn et al. 2020). Many species of saproxylics in the adult phase also play a role as pollinators: 16% of the saproxylics of England, Wales and Scotland (Falk 2021). Even though many research groups are actively involved in analysing the saproxylic fauna and many researchers have been published in the fields of taxonomy, systematics and ecology, nature conservation and checklist of species for the Italian forests are scarcely available. It results in the impossibility of tracking the modification of insect communities over time.
To start the job in this direction, we published the datasets of saproxylic species occurrence coming from field experiments carried out between 2012 and 2018 in central and southern Italian forests.
General description
Purpose
We wish to promote collaboration amongst researchers for making datasets on saproxylic beetles available in open repositories. This will improve the possibility for researchers and forest managers of analysing the state of species distribution and presence that could serve for long term studies on the variation of insect communities.
Sampling methods
Study extent
The datasets include information of species collected in six forested sites of the Apennines, corresponding to 15 plots (Fig. 1).
Figure 1.
Map of the study sites located in central and southern Italy.
Forest typologies fall into five EUNIS habitat types (European Environmental Agency, EUNIS Habitat Classification 2017): Fagus forest on non-acid soils, Southern Apennine Abiesalba forests, Thermophilous deciduous woodland, southern Italian Fagus forests, Coppice and early-stage plantations. Forest areas also differ for the actual and historical management: from uneven unmanaged forests, coppice stands to traditional orchards (Fig. 2). Some of the study areas are included in Natura 2000 sites, National Parks or UNESCO sites (Table 2). A detailed description of the study areas is reported in research papers that have been published on the basis of these datasets (Parisi et al. 2016, Parisi et al. 2019, Parisi et al. 2020a, Parisi et al. 2020b, Parisi et al. 2020c,Sabatini et al. 2016 ,Zanetti and Parisi 2019).
Figure 2.
A graphical representation of forest ecosystems studied (drawings by G. Parisi).
Table 2.
Annotated list of the study sites from which the data originated. 1Datum: WGS84.
| Study sites | Sampling site | No. of plots | Sampling year | Natura 2000 site | Protected area | Lat1 | Long1 | EUNIS Habitat type |
Forest management |
| Gran Sasso | Incodara | 1 | 2013, 2016 | IT7110202 “Gran Sasso” | Gran Sasso e Monti della Laga National Park | 42.5123 | 13.4735 | Fagus forest on non-acid soils | Unmanaged forest |
| Gran Sasso | Prati di Tivo | 1 | 2013, 2016 | IT7110202 “Gran Sasso” | Gran Sasso e Monti della Laga National Park | 42.5096 | 15.5679 | Fagus forest on non-acid soils | Unmanaged forest |
| Gran Sasso | Venacquaro | 1 | 2013, 2016 | IT7110202 “Gran Sasso” | Gran Sasso e Monti della Laga National Park | 42.4988 | 13.5139 | Fagus forest on non-acid soils | Unmanaged forest |
| Abeti Soprani | Abeti Soprani | 1 | 2012 and 2013 | 41.8608 | 14.2936 | Southern Apennine Abiesalba forests | Unmanaged forest | ||
| Bosco Pennataro | Bosco Pennataro | 1 | 2014 and 2015 | UNESCO "Collemeluccio-Montedimezzo-Alto Molise" | 41.7489 | 14.1972 | Thermophilous deciduous woodland | Unmanaged forest | |
| Matese | Matese | 4 | 2018 | IT7222287 “La Gallinola - Monte Miletto - Monti del Matese” | Matese National Park | 41.4522 | 14.3503 | Southern Italian Fagus forests | Managed forest |
| Cilento | Monti Alburni | 1 | 2013, 2016 | IT8050033 “Monti Alburni” | Cilento, Vallo di Diano e Alburni National Park | 40.5136 | 15.3292 | Fagus forest on non-acid soils | Unmanaged forest |
| Cilento | Monti Alburni | 1 | 2013, 2016 | IT8050033 “Monti Alburni” | Cilento, Vallo di Diano e Alburni National Park | 40.4705 | 15.4317 | Fagus forest on non-acid soils | Unmanaged forest |
| Cilento | Monte Motola | 1 | 2013, 2016 | IT8050028 “Monte Motola” | Cilento, Vallo di Diano e Alburni National Park | 40.3761 | 15.4694 | Fagus forest on non-acid soils | Unmanaged forest |
| Aspromonte | Coppice stand | 2 | 2017 | 38.1802 | 15.7843 | Coppice and early-stage plantations | Agroforestry system | ||
| Aspromonte | Fruit orchard | 1 | 2017 | 38.0602 | 15.7816 | Coppice and early-stage plantations | Agroforestry system |
Geographic coverage
Description
The study covers forests sited in central and southern Italy along a latitudinal gradient (Fig. 1).
Coordinates
38.18 S and 42.5096 N Latitude; 13.5679 W and 15.784167 E Longitude.
Collection data
Collection name
The insects were collected using flight interception traps and emergence traps from 2012 to 2018. Flight interception traps are made by transparent panes of 60x40 cm and they were left active from May to September and checked with a periodicity of 30 days. Emergence traps are made by breathable plastic bags enveloping a portion of deadwood (1 m long) and were connected to a jar for the collection of emerging insects. Materials have been preserved in alcohol (70%) and then mounted (on cards and pinned) and dried for identification at species level. The taxomomy of the species (Family, Scientific Name and Authorship) were provided by the entomology specialists (see Acknowledgements). All the scientific names and authorships have been, subsequently, validated and harmonised following the Fauna Europea Database. The entomological material is preserved at the Department of Agriculture, Food, Environment and Forestry (DAGRI) - University of Florence.
Usage licence
Usage licence
Creative Commons Public Domain Waiver (CC-Zero)
Data resources
Data package title
Annotated checklists of beetles (Insecta, Coleoptera)
Number of data sets
1
Data set 1.
Data set name
Annotated checklists of beetles (Insecta, Coleoptera)
Number of columns
1
Description
The datasets consist of annotated checklists of beetles (Insecta, Coleoptera) and were published on Zenodo repository (Table 3). Overall, 1,171 records are published, corresponding to 918 taxa (taxonomy at species or subspecies level). The taxa are scarcely shared amongst the areas, 80.2% of them are exclusive, indicating that the beetle communities are substantially different. The fields used for the datasets follows the Darwin Core vocabulary (Darwin Core Maintenance), the list of used terms and their adoption for the information recorded in our datasets are described below: catalogNumber (a unique identifier number associated with the biological entity in that catalogue), order, family, scientificName (genus species or genus sp. or genus species subspecies of the biological entity), scientificNameAuthorship, individualCount (total number of the individuals sampled), measurementDeterminedDate (year(s) of sampling), Country, decimalLatitude, decimalLongitude, geodeticDatum, locality, habitat (habitat type according to EUNIS habitat classification 2017), samplingProtocol, recordedBy, identifiedBy, dynamicProperties (IUCN Red List categories), associatedReferences, scientificNameID (the unique identifier for the species, if the specific names does not match with any name in the Fauna Europea Database, the field is NA and the scientificName reported corresponds to the name indicated by the entomology specialist) and taxonID. For datasets of the study area Gran Sasso, Cilento and Aspromonte, the fields decimalLatitude, decimalLongitude, geodeticDatum are not provided; the geographic coordinates are described in the Upload Description.
Table 3.
List of the datasets published on Zenodo.
| Dataset name | doi | Dataset compiled by | Published papers |
| Annotated checklist of the beetles of Abeti Soprani, a silver fir forest of central Italy | 10.5281/zenodo.3787025 | Campanaro et al. (2020a) |
Parisi et al. (2016)
Parisi et al. (2020b) |
| Annotated checklist of the beetles of three beech forests in Gran Sasso National Park, central Italy | 10.5281/zenodo.4310155 | Campanaro et al. (2020b) |
Zanetti and Parisi (2019)
Sabatini et al. (2016) Parisi et al. (2021) |
| Annotated checklist of the beetles of three beech forests in Cilento, Vallo di Diano e Alburni National Park, southern Italy | 10.5281/zenodo.4302220 | Campanaro et al. (2020f) |
Zanetti and Parisi (2019)
Sabatini et al. (2016) Parisi et al. (2021) |
| Annotated checklist of the beetles of the broadleaved forest Bosco Pennataro, central Italy | 10.5281/zenodo.4303930 | Campanaro et al. (2020c) |
Parisi et al. (2019)
Parisi et al. (2020b) |
| Annotated checklist of the beetles of beech forests in Matese National Park, central Italy | 10.5281/zenodo.4304401 | Campanaro et al. (2020d) | Parisi et al. (2020a) |
| Annotated checklist of the beetles of chestnut agroforestry systems in Aspromonte, southern Italy | 10.5281/zenodo.4304025 | Campanaro et al. (2020e) |
Parisi et al. (2020c)
Toma and Parisi (2021) |
Datasets are in the form of .csv files.
In the published papers which refer to these datasets (Table 3), the trophic categories for the saproxylic species are reported, while analysing of the trophic interactions have been considered in Parisi et al. (2019) and Parisi et al. (2020c), giving the opportunity, if the survey is to be repeated, to obtain information on the change of ecological network as suggested by Petsopoulus et al. (2021).
Data set 1.
| Column label | Column description |
|---|---|
| Records | Zenodo repository |
Acknowledgements
The authors thank the specialists of the various taxonomic groups: Paolo Audisio (Nitidulidae), Alessandro Bruno Biscaccianti (Alexiidae, Biphylidae, Cerylonidae, Dascillidae, Dermestidae, Erotylidae, Eucemidae, Laemophloeidae, Lathridiidae, Lucanidae, Mycetophagidae, Salpingidae, Scirtidae, Sphindidae, Tenebrionidae, Trogossitidae), Maurizio Biondi (Chrysomelidae Alticinae), Enzo Colonnelli (Anthribidae, Attelabidae, Brentidae, Curculionidae), Massimo Faccoli (Curculionidae Scolytinae), Fabrizio Fanti (Cantharidae, Lampyridae), Leonardo Latella (Leiodidae Cholevinae), Gianfranco Liberti (Melyridae), Gianluca Nardi (Anthicidae, Dytiscidae, Ptinidae Hedobiini and Ochinini), Gianluca Magnani (Buprestidae), Eugenio Pacieri (Silphidae), Emanuele Piattella (Scarabaeidae), Giuseppe Platia (Elateridae), Roberto Poggi (Staphylinidae Pselaphinae), Pierpaolo Rapuzzi (Cerambycidae (pars)), Enrico Ruzzier (Mordellidae, Scraptiidae), Gianfranco Salvato (Biphyllidae, Mycetophagidae (pars), Zopheridae (pars)), Augusto Vigna Taglianti (Carabidae), Luciano Toma (Chrysomelidae Bruchinae) and Adriano Zanetti (Staphylinidae (pars)).
We are grateful to Marco Marchetti, Roberto Tognetti, Bruno Lasserre (Università degli Studi del Molise, Italy) and Fabio Lombardi (Università Mediterranea di Reggio Calabria, Italy) for scientific and technical support and to Cristiano Castaldi (Università degli Studi di Firenze, Italy) for the graphic elaborations.
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