Biodiversity Data Journal : Data Paper (Biosciences)
PDF
Data Paper (Biosciences)
The first large-scale All Taxa Biodiversity Inventory in Europe: description of the Mercantour National Park ATBI datasets
expand article infoJean Ichter, Olivier Gargominy§, Marie-France Leccia|, Solène Robert§, Laurent Poncet§
‡ Muséum national d'Histoire naturelle (correspondent), Paris, France
§ PatriNat (OFB/MNHN/CNRS), Paris, France
| Parc national du Mercantour, Nice, France
Open Access

Abstract

Background

An All Taxa Biodiversity Inventory (ATBI) is a comprehensive inventory of all species in a given territory. In 2007, the French Parc national du Mercantour and the Italian Parco Naturale Alpi Marittime started the first and most ambitious ATBI in Europe with more than 350 specialists and dozens of technicians and data managers involved.

New information

The ATBI datasets from the Parc national du Mercantour in France are now publicly available. Between 2007 and 2020, 247,674 occurrences were recorded, checked and published in the INPN information system. All this information is available in open access in the GBIF web site. With 12,640 species registered, the ATBI is the most important inventory in France. This data paper provides an overview of main results and its contribution to the French National Inventory of Natural Heritage. It includes a list of 52 taxa new to science and 53 species new to France, discovered thanks to the ATBI.

Keywords

Alps, biodiversity, chorology, conservation, ecology, France, hotspot, Italy, survey, taxonomy

Introduction

The question of how many species belong to a given territory has always been an excellent driver for field biology studies and the starting point of many scientific findings (Kohler 2006, Bouchet et al. 2008). Despite centuries of species description, our knowledge on biodiversity is far from being complete, especially for the smallest organisms, such as invertebrates and non-vascular plants (Brown et al. 2018). Several authors acknowledge that these poorly-studied species are facing higher rates of extinction (McKinney 1999, Thomas et al. 2004, Sánchez-Bayo and Wyckhuys 2019) as part of a wider phenomenon: the Earth’s sixth major extinction event (Ceballos, Gerardo et al. 2015, Cowie et al. 2022). The idea that many species would disappear before being discovered has generated increasing support from society towards ambitious species inventories (Dubois 2003, Mauz 2011). Although less popular, the specialists capable of naming and classifying living organisms, taxonomists, are also in decline (Fontaine et al. 2012). The shortage of taxonomists and curators, known as the 'taxonomic impediment', was for the first time internationally recognised in 1992 in Rio de Janeiro at the Convention on Biological Diversity.

Originally developed by the American ecologist, Daniel Janzen, for a project in Costa Rica, the concept of All Taxa Biodiversity Inventory (ATBI) is an approach for completing a comprehensive survey of the plants and animals living in a natural (or semi-natural) area, including data on their environment (e.g. habitat, ecological niche), their abundance, behaviour and the genetic diversity (Deharveng et al. 2015b, White and Langdon 2006). The first large-scale ATBI in the Great Smoky Mountains National Park in the USA (Langdon et al. 2006Sharkey 2001) showed unexpected results with 18,000 described species recorded and almost 1,000 species new to science (www.dlia.org). This experience inspired dozens of ATBI’s across the world (Ichter et al. 2018), including the first European ATBI between the French Parc national du Mercantour and the Italian Parco Naturale Alpi Marittime (De Biaggi et al. 2013). With more than 12,640 species described including 50 new to science, this project is the first and most successful large-scale All-Taxa Biodiversity Inventory in Europe.

These datasets are now available in open access in both national (https://openobs.mnhn.fr) and global (www.gbif.org) biodiversity facilities. The objective of this data paper is to provide an updated description of the datasets produced in the framework of the ATBI in the Mercantour National Park, an overview of main results and its contribution to the French National Inventory of Natural Heritage (https://inpn.mnhn.fr).

General description

Purpose: 

An All Taxa Biodiversity Inventory (ATBI) is a comprehensive inventory of all species occurring in a given territory. Its objective is to improve knowledge on taxonomy and chorology and to better understand ecological communities and their interactions within ecosystems (Janzen and Hallwachs 1994, Ichter et al. 2018). It encourages further data acquisition and collation of existing knowledge (e.g. historical data) to maximise the number of species inventoried and associated ecological information. Wherever feasible, it aims to contribute to better management of the territory through assessments and monitoring.

Additional information: 

The ATBI Mercantour/Alpi Marittime project started with the creation of the European Distributed Institute of Taxonomy (EDIT) in 2006. EDIT was a network of excellence of 28 institutions whose main objective was to reduce the fragmentation in European taxonomy. With the support of the Muséum national d'Histoire naturelle (MNHN) in Paris, the Parc national du Mercantour and the Parco Naturale Alpi Marittime applied to host a pilot project called 'All taxa biodiversity inventory + monitoring' (ATBI+M) as the first of a series in Europe.

Thanks to their high potential for biodiversity, logistical opportunities and successful previous scientific partnerships (Gargominy and Ripken 2006, Hervé and Rollard 2009), EDIT chose 17 pilot sites within both parks. In 2008, a dataset of 31,680 occurrences was published in the GBIF (https://doi.org/10.15468/4z4hto) by EDIT's coordinators, the Museum für Naturkunde Berlin (MfN) and the Staatliches Museum für Naturkunde Stuttgart (SMNS).

In 2009, when the EDIT work package ended, the two natural parks in collaboration with the MNHN in Paris and the Museo Regionale di Scienze Naturali in Turin (MRSN) proposed to continue the project, not only in pilot sites, but to their entire territories and with increased outputs in terms of management and decision-making. A three-year project called Inventaire Biologique Generalisé / Inventario Biologico Generalizzato (Generalised Biological Inventory) was accepted as an Integrated Transboundary Action Plan in the framework of the ALCOTRA 2007-2013 programme. Both park administrations were responsible for the fieldwork coordination and the MNHN was tasked with data management through a web-based application (https://cardobs.mnhn.fr/).

Inventories continued after the end of the EU funded programmes (EDIT and ALCOTRA). Scientists and naturalists are still conducting fieldwork and investigations on lesser-known species. The park authorities provided authorisations and conventions in exchange for the transmission of the data. The Mercantour National Park also initiated several projects that are a direct continuity of the ATBI: Explor'Nature (bioblitz), Programme Abeilles Sauvages (Wild Wasps), Myriapods inventory and ABC (Communal Atlas of Biodiversity). A new transboundary Alpine ATBI, funded by PITEM Biodiv'ALP, started in 2019 and is further proof of the persistence of this dynamic (see https://www.interreg-alcotra.eu). The authors consider the ATBI Mercantour/Alpi Marittime as an on-going collective process and follow the Mauz and Granjou (2013) definition of an ATBI: a boundary institution in the sense of an assemblage of actors in motion with fuzzy boundaries.

Project description

Personnel: 

More than 350 individual specialists contributed to the ATBI. Additionally, dozens of park rangers actively helped with preparation, fieldwork or conducting inventories. Two project managers were recruited to coordinate the programme in each park. In the Mercantour, two seasonal field technicians were hired from 2009 to 2012 as support for fieldwork and to collate historical data. After the fieldwork, many students, volunteers and laboratory technicians were tasked with sorting a large amount of material especially for the continuous sampling techniques (e.g. entomological traps). Although resources were specifically dedicated to material sorting and data management, part of the information was not yet available due to insufficient resources: time, finance and available experts (Villemant et al. 2015). The preparation of this publication was an opportunity for a qualitative and quantitive update of the different ATBI datasets. Participants were contacted to update their data. In addition, a review was initiated to ensure that all data of recently-published papers (e.g. new species for science or France, taxonomic revision) were entered into the database.

Study area description: 

The Mercantour National Park is part of the Mercantour- Argentea mountain range in the Southern Alps (Fig. 1). Ranging from 350 to 3,297 m a.s.l. (Mont Argentera), it is influenced by both Mediterranean and Alpine climates and is crossed by numerous rivers, the main ones being the Roya, the Bévéra, the Tinée, the Vésubie, the Var, the Cians, the Verdon and the Ubaye. It is also characterised by varied geology, a great diversity of habitats and climatic influences from the Mediterranean, Alpine and Ligurian Regions. The complex geology has created a great variety of bedrocks with very old crystalline rocks (gneiss, granite) and younger sedimentary rocks (juvenile karst, schist, sandstone). Moreover, the area was not affected by the last glacial period in the Alpine Region and served as a refugium for many species (Médail and Diadema 2009). This particular ecological and biogeographic situation is at the origin of a great diversity of ecosystems and life forms. The study area is part of a widely recognised hotspot of biodiversity in Europe (Medail and Quezel 1999, Dole-Olivier et al. 2015, Villemant et al. 2015).

Figure 1.  

Map of the Parc national du Mercantour, France and the Parco Naturale Alpi Marittime, Italy (OpenTopoMap / Parc national du Mercantour, under CC-BY-SA).

Design description: 

During the first two years of the project (2007-2009), the sampling strategy coordinated by EDIT was to concentrate the effort on an intensive survey of 17 pilot sites. In 2009, a transboundary Steering Committee was created and composed of around 10 people including Parks' staff, taxonomists, ecologists, a hydrobiologist and a biomathematician. The sampling effort was extended to the whole area of the two parks, to increase the diversity of habitat and the potential use in terms of management and monitoring. By increasing the area sampled, species richness and representativity also increased. However, as a result, not all areas could not be monitored as exhaustively as originally planned.

In terms of organisation, participants could work independently or within a coordinated thematic group. Independent specialists could decide the dates and the sites to visit. They were given permission by the park authorities to sample and could apply to have their fees reimbursed. In exchange, they agreed to liaise with park authorities to announce their visits, share information on their sampling methods, provide a report with the results of their research and deliver a specimen of each species collected. Due to the great number of taxonomists (350+), countries and institutions involved, the majority of field days were organised this way.

As the inventory progressed, the steering committee preferred the groups thematic system as used in the Smoky Mountains ATBI. They were built around different sampling strategies: 1) taxonomical targets (e.g. lichens, bryophytes, tracheophytes); 2) biological groups with similar sampling strategies (e.g. terrestrial invertebrates); or 3) types of ecosystems (e.g. superficial aquatic habitats, biospeology).

These two approaches (by groups and/or independent) proved to be complementary. During the project, the collaboration between taxonomists and the park's scientific services significantly improved. This had positive effects at various levels including improvements of the sampling strategy, better communication with the stakeholders, involvement from local taxonomists and data flow management (Leccia and Morand 2013, Mauz and Granjou 2013).

To complement the taxonomy, molecular analyses were added to the sampling strategy. Barcoding is a standardised method that attributes to each species a unique DNA sequence. The studies were conducted by the Molecular Systematic Service of the MNHN and Centre de Biologie pour la Gestion des Populations (Cirad-Ensa-Inra-IRD). The results are published in the sequence database, Barcode of Life Data Systems (Ratnasingham and Hebert 2007) and not presented in this data paper. So far, more than 2,000 gene sequences have been published corresponding to 344 taxa.

Funding: 

The ATBI Mercantour/Alpi Marittime was funded via EDIT by the European Commission as part of the sixth framework programme (FP6) between 2006 and 2011. Funds were also provided by France's Ministry of Ecology, the Albert II of Monaco Foundation, the Monegasque Government and the European Regional Development Fund - Alcotra 2007-2013 programme.

Since 2013, the Mercantour National park is continuing the ATBI through different projects and funding sources: Explor'nature bioblitz (Barcelonnette 2017, Sospel 2018, Guillaumes 2019), Wild bees and Myriapods inventories (both funded by the Albert II of Monaco Foundation and the Monegasque Government, 2017-2019 and 2019-2021) and Atlas of biodiversity in the Municipalities (ABC).

Since 2019, a new EU funded ATBI of seven alpine protected areas has been ongoing for 3 years thanks to the Thematic Integrated Plan (PITEM Biodiv'ALP) of the European Territorial Cooperation Programme ALCOTRA (INTERREG).

Sampling methods

Sampling description: 

A great variety of sampling methods were used. Experts could choose their methods, but they had to be accepted by the park authorities prior to the fieldwork. In a limited number of cases, restrictions were applied to specific areas. For example, in the core area of the National Park some methods were prohibited, such as the use of chemicals for surveying earthworms or sampling of rocks covered with saxicolous lichens in archaeological sites. The sampling strategy consisted of a combination of one-shot (individual collecting) and continuous sampling techniques using permanent devices in the field (Deharveng et al. 2015b). The one-shot sampling techniques used either standardised or non-standardised protocols.

Non-standardised individual collecting was the most employed method. It was recognised as one of the most productive methods in terms of species richness because it relies on the expert's field experience (Deharveng et al. 2015b). It is also the easiest protocol to maintain over a long period of time in the context of limited and changing financial and human resources. The major drawback of this approach is the absence of information on the sampling intensity and reproducibility of the methods (Ichter et al. 2014).

The invertebrates provide the most diverse sampling techniques since they target a large spectrum of ecological groups like the flying insects (entomological net, light traps, interception traps), the ground fauna (pitfall traps, soil sieving, see Fig. 2), the terrestrial underground fauna (bait trap), the aquatic insects (artificial susbstrates, nets, light traps, see Fig. 3) and the hyporheic fauna (Bou Rouch filtering or pumping).

Figure 2.  

Sieving of soil fauna, A. Abdou (Author: J. Ichter under CC BY-NC-SA).

Figure 3.  

Light traps for butterfly sampling (Author: J. Ichter under CC BY-NC-SA).

The ATBI Mercantour/Alpi Marittime was also an opportunity to collect and disseminate information on methods and protocols. In particular, 79 scholars contributed to the publication of the two volumes of the 'Manual on field recording techniques and protocols for All Taxa Biodiversity Inventories and Monitoring' in ABC taxa, a journal dedicated to capacity building in taxonomy and collection management (Eymann et al. 2010). In 2013, a scientific and technical workshop was organised in the framework of the ATBI and a specific session on methodological issues was held. A summary of the discussions is available in the proceedings (Deharveng and Isaia 2013).

Quality control: 

All datasets presented in this publication are managed by the MNHN which is responsible for the national inventory of natural heritage (INPN). The INPN is part of the SINP information system on nature and landscape (http://www.naturefrance.fr) which is the national system for sharing observation data on biodiversity in France. This information system guarantees the traceability of data and authorship and normalised standards of data and metadata.

Before being published, a series of checks are routinely performed (Jomier et al. 2019). The first category of checks is compliance with standard formats of data and metadata. The data must be compliant with both physical and conceptual aspects: mandatory fields, required formats, repositories (including geographical and taxonomical, see Taxonomic coverage), classifications and lists of values. The second category of checks is the consistency to ensure logical compatability within the data, the metadata and between the data and the metadata. For example, the observation start date should always be less than or equal to the observation end date.

In addition, a series of automatic controls called scientific validation were applied to verify that data were compliant with other reference databases: taxonomical repository, biogeographic status and know distribution (e.g. atlas). However, for the Mercantour ATBI, there was no expert validation to assess the reliability, i.e. the degree of confidence that can be placed in the data. The datasets producers are responsible for the reliability of the identification. Authors have the possibility to tag an identification as doubtful, so that the data would not be published.

Geographic coverage

Description: 

The study area covers the territory of the Mercantour National Park (2,163 km²), which is protected and managed as such since 1979.

This territory is divided into two areas: a core area (679 km2), which benefits from strict protection and a peripheral area (1,484 km2). As biological and geological sampling are forbidden in the core of the National Park, all sampling carried out within the framework of the ATBI has been regulated by specific authorisations. These authorisations were issued to taxonomists upon request after reference check of their skills and reliability.

For this paper, the limits defined for the Mercantour National Park, including core and peripheral areas, are defined by the following communes: Allos (Post Code: 04006), Belvedere (Code: 06013), Beuil (Code: 06016), Breil-Sur-Roya (Code: 06023), Chateauneuf-D'entraunes (Code: 06040), Colmars (Code: 04061), Guillaumes (Code: 06071), Isola (Code: 06073), Jausiers (Code: 04096), La-Bollene-Vesubie (Code: 06020), Larche (Code: 04100), Meyronnes (Code: 04120), Moulinet (Code: 06086), Peone (Code: 06094), Roubion (Code: 06110), Roure (Code: 06111), Saorge (Code: 06132), Sospel (Code: 06136), St-Etienne-De-Tinée (Code: 06120), St-Martin-Vésubie (Code: 06127), St-Sauveur-Sur-Tinée (Code: 06129), Tende (Code: 06163), Uvernet-Fours (Code: 04226), Valdeblore (Code: 06153), Fontan (Code: 06062), Entraunes (Code: 06056), St-Dalmas-Le-Selvage (Code: 06119) and Rimplas (Code: 06102).

Fig. 4 illustrates the spatial distribution of the data.

Figure 4.  

Spatial distribution of the ATBI data (PatriNat, under CC BY-SA).

Taxonomic coverage

Description: 

The ATBI Mercantour/Alpi Marittime aims to inventory the entire biota and is mainly focused on four kingdoms: Animalia, Chromista, Fungi and Plantae. For the species occurring in France, the taxonomy follows TAXREF, the national repository for flora, fauna and fungi of metropolitan France and Overseas Territories. TAXREF assigns a unique, unambiguous and (whenever possible) consensual scientific name to all species occurring in France. The repository is constantly updated and a new version is published every year.

The ATBI data package does not include datasets on chordates: Birds, Reptiles, Amphibians, Mammals (managed by the Mercantour National Park information system) and Fishes (managed by the water information system, SIE). However, opportunistic data on chordates were also produced during the inventories and are, therefore, present in the results (except for Fishes).

Fig. 5 illustrates the number of species and subspecies per taxonomic/vernacular group on a logarithmic scale.

Figure 5.  

Taxonomic coverage of the inventory: number of taxa per group (Log10).

Fig. 6 illustrates the number of occurrences per taxonomic/vernacular group on a logarithmic scale.

Figure 6.  

Taxonomic coverage of the inventory: number of occurrences per group (Log10) .

Taxa included:
Rank Scientific Name
kingdom Animalia
kingdom Chromista
kingdom Fungi
kingdom Plantae

Temporal coverage

Notes: 

The ATBI Mercantour/Alpi Marittime officially started in 2007. The data presented here are those collected from this date. It also includes older bibliographic data entered during the project.

In theory, the ATBI will end when the inventory is considered comprehensive. From a technical point of view, an inventory is close to exhaustion when the curve of the number of species inventoried as a function of the sampling effort tends towards a horizontal asymptote, i.e. all species were inventoried at least twice (Fontaine et al. 2012, Ichter et al. 2018). According to the number of new species described and published each year, the authors consider the inventory far from being complete.

Therefore, the ATBI is still on-going due to: 1. successful partnership between the Mercantour National Park and a community of taxonomists and 2. new national and EU-funded projects: Atlas of Biodiversity in the Municipalities and the Thematic Integrated Plan (PITEM Biodiv'ALP) of ALCOTRA Territorial Cooperation Programme.

Fig. 7 shows a temporal distribution of the number of data and taxa per year during the period of the ATBI (2007 - present). Fig. 8 shows the cumulative number of data according to the sample date since the creation of the National Park in 1979. These two graphs only concern data from the main dataset called "Datasets from the Mercantour ATBI". The other datasets from the data package (cadre d'acquisition) from Explor'Nature and the Conservatoires botaniques are not included in Figures 7 and 8. The decrease in 2019 and 2020 in Fig. 7 is an artefact due to the delay between the fieldwork and the data publication. Several datasets (e.g. aquatic invertebrates and Syrphids) are expected to be published soon.

Figure 7.  

Number of taxa (in yellow) and data (in blue) per year during ATBI programme from 2007 to 2020. Note: this graph only concerns the ATBI main datasets (data from Explor'Nature and Conservatoires botaniques are not included).

Figure 8.  

Cumulative number of data according to the sample dates from 1979 to 2020. Note: this graph only concerns the ATBI main datasets (data from Explor'Nature and Conservatoires botaniques are not included).

Usage licence

Usage licence: 
Creative Commons Public Domain Waiver (CC-Zero)
IP rights notes: 

Creative Commons Attribution-Non-Commercial 4.0 International Public Licence

Data resources

Data package title: 
ATBI Parc national du Mercantour
Number of data sets: 
7
Data set name: 
Jeux de données provenant de l'ATBI Mercantour - Datasets from the Mercantour ATBI
Data format: 
Darwin Core Archive
Description: 

The main dataset of the ATBI in the Mercantour National Park. The project started in 2007 in the framework of the European Distributed Institute of Taxonomy and has continued since 2012 thanks to the collaboration between the Parks, the MNHN and a vast community of taxonomists. It includes data with sampling protocols and opportunistic data collected by taxonomists, park staff and naturalists under a convention with the park and bibliographic data entered as part of the ATBI.

Column label Column description
associatedReferences A list (concatenated and separated) of identifiers (publication, bibliographic reference, global unique identifier, URI) of literature associated with the Occurrence.
basisOfRecord The specific nature of the data record.
coordinateUncertaintyInMetres The horizontal distance (in metres) from the given decimalLatitude and decimalLongitude describing the smallest circle containing the whole of the Location. Leave the value empty if the uncertainty is unknown, cannot be estimated or is not applicable (because there are no coordinates). Zero is not a valid value for this term.
country The name of the country or major administrative unit in which the Location occurs.
countryCode The standard code for the country in which the Location occurs.
dataGeneralisations Actions taken to make the shared data less specific or complete than in its original form. Suggests that alternative data of higher quality may be available on request.
datasetID An identifier for the set of data. May be a global unique identifier or an identifier specific to a collection or institution.
dateIdentified The date on which the subject was determined as representing the Taxon.
decimalLatitude The geographic latitude (in decimal degrees, using the spatial reference system given in geodeticDatum) of the geographic centre of a Location. Positive values are north of the Equator, negative values are south of it. Legal values lie between -90 and 90, inclusive.
decimalLongitude The geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum) of the geographic centre of a Location. Positive values are east of the Greenwich Meridian, negative values are west of it. Legal values lie between -180 and 180, inclusive.
eventDate The date when the Event was recorded (dd/mm/yyyy).
eventID An identifier for the broader Event that groups this and potentially other Events.
footprintWKT A Well-Known Text (WKT) representation of the shape (footprint, geometry) that defines the Location. A Location may have both a point-radius representation (see decimalLatitude) and a footprint representation and they may differ from each other.
id An identifier for the Occurrence (as opposed to a particular digital record of the occurrence). In the absence of a persistent global unique identifier, construct one from a combination of identifiers in the record that will most closely make the occurrenceID globally unique.
identificationVerificationStatus A categorical indicator of the extent to which the taxonomic identification has been verified to be correct.
identifiedBy A list (comma separated) of names of people who assigned the Taxon to the subject.
informationWithheld Additional information that exists, but that has not been shared in the given record.
institutionCode The name (or acronym) in use by the institution having custody of the object(s) or information referred to in the record.
locality The specific description of the place.
locationRemarks Comments or notes about the Location.
maximumDepthInMetres The greater depth of a range of depth below the local surface, in metres.
maximumElevationInMetres The upper limit of the range of elevation (altitude, usually above sea level), in metres.
minimumDepthInMetres The lesser depth of a range of depth below the local surface, in metres.
minimumElevationInMetres The lower limit of the range of elevation (altitude, usually above sea level), in metres.
modified The most recent date-time on which the resource was changed.
municipality The full, unabbreviated name of the next smaller administrative region than county (city, municipality etc.) in which the Location occurs. Do not use this term for a nearby named place that does not contain the actual location.
nameAccordingTo The reference to the source in which the specific taxon concept circumscription is defined or implied - traditionally signified by the Latin "sensu" or "sec." (from secundum, meaning "according to"). For taxa that result from identifications, a reference to the keys, monographs, experts and other sources should be given.
occurrenceID An identifier for the Occurrence (as opposed to a particular digital record of the occurrence). In the absence of a persistent global unique identifier, construct one from a combination of identifiers in the record that will most closely make the occurrenceID globally unique.
occurrenceStatus A statement about the presence or absence of a Taxon at a Location.
originalNameUsage The taxon name, with authorship and date information if known, as it originally appeared when first established under the rules of the associated nomenclaturalCode. The basionym (botany) or basonym (bacteriology) of the scientificName or the senior/earlier homonym for replaced names.
recordedBy A list (comma separated) of names of people responsible for recording the original Occurrence. The primary collector or observer is listed first.
scientificName The full scientific name, with authorship and date information if known.
basisOfRecord The specific nature of the data record.
taxonID An identifier for the nomenclatural (not taxonomic) details of a scientific name.
Data set name: 
EXPLOR'NATURE 2017, inventaire biologique de la commune de Barcelonnette - EXPLOR'NATURE 2017, biological inventory of the Municipality of Barcelonnette
Data format: 
Darwin Core Archive
Description: 

Within the framework of its adhesion to the Mercantour National Park, the Municipality of Barcelonnette and the Park organised a 3-day event focused on the knowledge of biodiversity, the discovery of scientific inventories and the exchange with scientists.

Column label Column description
idem as "Datasets from the Mercantour ATBI" idem as "Datasets from the Mercantour ATBI"
Data set name: 
EXPLOR'NATURE 2018, inventaire biologique de la commune de Sospel
Description: 

Within the framework of its Atlas of Communal Biodiversity, the commune of Sospel and the Mercantour National Park, in partnership and with the financial support of the French Agency for Biodiversity (AFB), organised a 3-day event focused on the knowledge of biodiversity, the discovery of the scientific inventories and the exchange with scientists.

Column label Column description
idem as "Datasets from the Mercantour ATBI" idem as "Datasets from the Mercantour ATBI"
Data set name: 
EXPLOR'NATURE 2019, inventaire biologique de la commune de Guillaumes
Data format: 
Darwin Core Archive
Description: 

Within the framework of its Atlas of Communal Biodiversity, the commune of Guillaumes and the Mercantour National Park, in partnership and with the financial support of the French Agency for Biodiversity (AFB), organised a 3-day event focused on the knowledge of biodiversity, the discovery of the scientific inventories and the exchange with scientists.

Column label Column description
idem as "Datasets from the Mercantour ATBI" idem as "Datasets from the Mercantour ATBI"
Data set name: 
Observations floristiques PNM issues de la base de données flore du Conservatoire botanique national alpin - Floristic observations of Mercantour National Park from the flora database of the Conservatoire botanique national alpin.
Data format: 
Darwin Core Archive
Description: 

Floristic observations from the flora database of the Conservatoire botanique national alpin (CBNA) carried out by the Parc national du Mercantour (PNM) and located on the territory of the PNM in the Alpes-de-Haute-Provence Department. Observations carried out within the framework of ATBI and other programmes.

Column label Column description
idem as "Datasets from the Mercantour ATBI" idem as "Datasets from the Mercantour ATBI"
Data set name: 
Observations floristiques issues de la base de données flore du Conservatoire botanique national alpin - Floristic observations from the flora database of the Conservatoire botanique national alpin.
Data format: 
Darwin Core Archive
Description: 

Floristic observations from the flora database of the Conservatoire botanique national alpin (CBNA) in the Mercantour National Park (Alpes-de-Haute-Provence Department). These observations are produced by the CBNA or from the bibliography.

Column label Column description
idem as "Datasets from the Mercantour ATBI" idem as "Datasets from the Mercantour ATBI"
Data set name: 
Inventaires du Conservatoire botanique national méditerranéen dans le cadre de l'ATBI Mercantour - Inventories of the Conservatoire botanique national méditerranéen de Porquerolles in the framework of the ATBI Mercantour.
Data format: 
Darwin Core Archive
Description: 

Inventories of the Conservatoire botanique national méditerranéen de Porquerolles carried out between 2008, 2009 and 2010 as part of the ATBI - Mercantour.

Column label Column description
idem as "Datasets from the Mercantour ATBI" idem as "Datasets from the Mercantour ATBI"

Additional information

Main results of the ATBI Mercantour

Thanks to the ATBI, 14,791 taxa and 12,640 species are now known from the Mercantour National Park. Between 2007 and 2020, 247,674 data sources were recorded, checked and published in the INPN information system. All this information is available in open access in the GBIF web site.

When compared to the national taxonomic repository (TAXREF v.13), the Mercantour National Park hosts 15% of all species known to occur in metropolitan France in less than 0.4% of the territory (Table 1). This proportion is even higher for several taxonomical groups where the knowledge is considered sufficient, both for the Mercantour and at national level: Bryophytes (42%), Lepidoptera (40%), Orthoptera (40%), Lichens (38%), Odonata (38%), Reptiles (34%) and Plants (25%); see Table 2.

Table 1.

Proportion of French species occurring in the Mercantour National Park. Note: numbers above the average proportion are in bold.

Species in France Species in Mercantour Proportion
Fungi 24,497 1,651 6.7%
Lichens 3,165 1,213 38.3%
Algae (sensu lato) 2,391 414 17.3%
Plants 10,113 2,530 25%
Bryophytes 1,264 537 42.5%
Angiosperms 7,625 1,697 22.3%
Gymnosperms 73 11 15.1%
Pteridophytes 179 48 26.8%
Animalia 48,746 8,147 16.7%
Worms 1,376 28 2.0%
Chordate 857 135 15.8%
Birds 486 86 17.7%
Fishes 81 0 0%
Reptiles 41 14 34.1%
Amphibians 43 5 11.6%
Mammals 206 30 14.6%
Molluscs 700 90 12.9%
Rotifers 473 1 0.2%
Arthropods 45,191 7,892 17.5%
including Insects 39,447 7,333 18.6%
Arachnids 3,481 302 8.7%
Crustaceans 833 80 9.6%
Myriapods 524 58 11.1%
Entognatha 906 119 13.1%
Tardigrades 67 1 1.5%
Bacteria 169 94 55.6%
Protozoa 525 59 11.2%
Chromista 1,396 159 11.4%
TOTAL 85,446 12,640 14.8%
Table 2.

Proportion of the French insects occurring in the Mercantour National Park.

Note: numbers above the average proportion are in bold.

Order Species in France Species in Mercantour Proportion
Diptera 8,865 761 8.6%
Odonata 98 37 37.8%
Mantodea 8 3 37.5%
Phasmida 4 1 25%
Psocodea 116 0 0%
Blattodea 38 5 13.2%
Hemiptera 3,527 595 16.9%
Mecoptera 10 4 40%
Zygentoma 16 0 0%
Coleoptera 10,887 2,086 19.2%
Dermaptera 18 5 27.8%
Embioptera 2 1 50%
Neuroptera 175 39 22.3%
Orthoptera 237 95 40.1%
Plecoptera 195 56 28.7%
Hymenoptera 8,630 1,317 15.3%
Lepidoptera 5,555 2,204 39.7%
Megaloptera 3 1 33.3%
Trichoptera 473 143 30.2%
Siphonaptera 96 7 7.3%
Strepsiptera 13 0 0%
Thysanoptera 265 0 0%
Archaeognatha 52 0 0%
Ephemeroptera 146 31 21.2%
Raphidioptera 18 6 33.3%
TOTAL 39,447 7,397 18.8%

These results confirm the importance of the Mercantour National Park in terms of biodiversity, which several authors consider a hotspot in Europe (Dole-Olivier et al. 2015, Medail and Quezel 1999, Villemant et al. 2015). The ATBI highlights that conservation efforts in the the National Park concern a wide range of taxonomical groups and goes beyond protected and flagship species, such as birds, mammals and vascular plants.

This information can also be used to steer further investigation. Based on the results, the authors consider that a taxonomical group not reaching 15% of the species known to occur in Metropolitan France is likely to be insufficiently inventoried and would require more research. However, the average number of 15% is expected to increase as new results concerning groups such as hemipters, dipters and hymenopters are published in the near future.

New species to science

Since the beginning of the ATBI, 52 taxa, new to science have been published (see Table 3). It concerns two genera, 47 species and three sub-species. As a comparison, in Europe, 770 new species were described on average each year between 1950 and 2006 (Fontaine et al. 2012). It is a significant contribution for a territory representing 0.025% of the area of Europe.

Table 3.

Species new to science discovered in the framework of the ATBI.

Species Reference Country where first discovered Collection (Holotype)
Dichrorampha tarmanni Huemer 2009 Italy coll. P. Huemer
Clinopodes vesubiensis Bonato et al. 2011 France MNHN, Paris (FR)
Eulamprotes occidentella Huemer and Karsholt 2011 France TLMF, Innsbruck (AUS)
Malthodes coryli Liberti 2011 Italy unknown
Istocheta incisor Tschorsnig 2011 France SMNS, Stuttgart (GER)
Klimeschiopsis maritimaealpina Nel and Varenne 2011 France TLMF, Innsbruck (AUS)
Sistotrema ampullaceum Duhem 2011

Italy

unknown

Troglocheles lanai

Zacharda et al. 2011)

Italy

MBD-OSU, Columbus (USA)
Duvalius magdelainei tordjmani Lemaire and Raffaldi 2011 France MNHN, Paris (FR)
Caryocolum dauphini Grange and Nel 2012 France MNHN, Paris (FR)
Diplocephalus guidoi Frick and Isaia 2012) Italy MCSNB, Bergamo (IT)
Histopona leonardoi Bolzern et al. 2013 Italy MCSNB, Bergamo (IT)
Eulamprotes mirusella

Huemer et al. 2013)

France TLMF, Innsbruck (AUS)
Plinthisus heteroclitus Matocq and Pluot-Sigwalt 2013 France MNHN, Paris (FR)
Bryobia cinereae Auger et al. 2015 France CBGP, Montpellier (FR)
Bryobia mercantourensis Auger et al. 2015 France CBGP, Montpellier (FR)
Eotetranychus quercicola Auger et al. 2015 France CBGP, Montpellier (FR)
Aberrantidrilus Martin et al. 2015 France MNHN, Paris (FR)
Aberrantidrilus stephaniae Martin et al. 2015 France MNHN, Paris (FR)
Alloxysta alpina Ferrer-Suay et al. 2015 France MNHN, Paris (FR)
Alloxysta franca Ferrer-Suay et al. 2015 France MNHN, Paris (FR)
Alloxysta pilae Ferrer-Suay et al. 2015 France MNHN, Paris (FR)
Deutonura jeromoltoi Deharveng et al. 2015a France MNHN, Paris (FR)
Echiniscus pardalis Degma and Schill 2015 Italy coll. R. Schill
Empis fusca Daugeron and Lefebvre 2015 France MNHN, Paris (FR)
Marionina sambugarae Martin et al. 2015 France MNHN, Paris (FR)
Nematopogon argentellus Leraut and Leraut 2015 France MNHN, Paris (FR)
Odontidium apiculatum Jüttner et al. 2015 Italy NMW, Cardiff (UK)
Odontidium neolongissimum Jüttner et al. 2015 Italy Herb. Mus. Palat. Vindob., Acqu.
Jüttner et al. 2015 Italy coll. F. Meister, Engadin (CH)
Orogastrura tetrophthalma

Deharveng et al. 2015a

France MNHN, Paris (FR)
Rhamphomyia brevis Daugeron and Lefebvre 2015 France MNHN, Paris (FR)
Xyalaspis pseudolaevigata Mata-Casanova et al. 2015 France MNHN, Paris (FR)
Cricotopus royanus Moubayed-Breil 2016 France coll. J. Moubayed-Breil, Montpellier (FR)
Dichrorampha melaniana Nel and Varenne 2016 France Coll. Th. Varenne, Nice (FR)
Kessleria lativalva Nel and Varenne 2016 France Coll. Th. Varenne, Nice (FR)
Mercantouria Huemer et al. 2016 France TLMF, Innsbruck (AUS)
Mercantouria neli Huemer et al. 2016 France TLMF, Innsbruck (AUS)
Stomopteyrx alpinella Nel and Varenne 2016 France Coll. Th. Varenne, Nice (FR)
Autaretia aliciae Geoffroy and Mauries 2017 France MNHN, Paris (FR)
Chaetocladius coppai Moubayed-Breil and Dia 2017 France coll. J. Moubayed-Breil Montpellier (FR)
Polypedilum mercantourus Moubayed-Breil 2017 France coll. J. Moubayed-Breil Montpellier (FR)
Virgatanytarsus rossaroi

Moubayed-Breil 2017

France coll. J. Moubayed-Breil Montpellier (FR)
Agrotis mayrorum Ronkay and Huemer 2018 France TLMF, Innsbruck (AUS)
Grammospila martae van Achterberg 2018 Italy RMNH, Leiden (NL)
Setina irrorella panthera Leraut 2018 France MNHN, Paris (FR)
Acarospora epiaspicilia Roux et al. 2019 France Coll. C. Roux, Mirabeau (FR)
Stygepactophanes occitanus Galassi et al. 2019 France MNHN, Paris (FR)
Caryocolum lamai Huemer 2020 France TLMF, Innsbruck (AUS)
Caryocolum habeleri Huemer 2020 France TLMF, Innsbruck (AUS)
Kessleria helvetica lecciae Leraut 2020 France MNHN, Paris (FR)
Scrobipalpa huemeri Leraut 2020)

France

MNHN, Paris (FR)

Acronyms. CBGP: Centre de Biologie pour la Gestion des Populations (UMR INRA, CIRAD, IRD, Montpellier SupAgro); MBD-OSU: Museum of Biological Diversity-Ohio State University; MCSNB: Museo Civico di Storia Naturale Bergamo; MNHN: Muséum national d'Histoire naturelle; NMW: National Museum of Wales; RMNH: Naturalis Biodiversity Center; SMNS: Staatliche Museum für Naturkunde Stuttgart; TLMF: Tiroler Landesmuseum Ferdinandeum.

About a third of the new species discovered are moth (14 species of Lepidoptera new to science). Flies (Diptera; Fig. 9) represent 15% with seven species new to science. Arachnids (Arachnida) represent 12% with six species new to science. Hymenopters represent 10% with five species. Other discoveries are Microalgae (3 spp.), Annelida (2 spp.), Collembola (2 spp.), Chilopoda (1 sp.), Coleoptera (1 sp.), Crustacea (1 sp.), Fungus (1 sp.), Hemiptera (1 sp.), Lichen (1 sp.) Myriapoda, (1 sp.) and Tardigrada (1 sp.), see Fig. 10.

Figure 9.  

Istocheta incisor (Diptera: Tachinidae). Holotype ♂ (Author: H.-P. Tschorsnig, Staatliches Museum für Naturkunde Stuttgart, under copyright).

Figure 10.  

The number of species new to science discovered during the ATBI Mercantour/Alpi Marittime.

Contribution of the ATBI to the knowledge on biodiversity in France

Throughout the duration of the ATBI, 53 species new for France were discovered (see Table 4).

Table 4.

Species new for France discovered in the framework of the ATBI.

Species Taxon authorities Reference
Catocala lupina Herrich-Schäffer, 1851 Tautel and Barbut 2009
Moehringia argenteria Casazza & Minuto, 2008 comm. pers. Noble (2009)
Mimela aurata (Fabricius, 1801) Vincent and Ponel 2009
Drosophila suzukii (Matsumura, 1931) Calabria et al. 2010
Ceratophyllus vagabundus alpestris Jordan, 1926 Lemaire and Beaucournu 2012
Geocoris phaeopterus (Germar, 1838) Maurel and Streito 2012
Dicyphus flavoviridis Tamanini, 1949 Matocq and Streito 2013
Helicoconis (Fontenellea) hispanica Ohm, 1965 Tillier 2013
Helicoconis (Helicoconis) hirtinervis Tjeder, 1960 Tillier 2013
Hydrocyphon ovatus Nyholm, 1967 Queney 2014
Nomada gransassoi SCHWARZ, 1986 Dufrêne et al. 2014
Platycheirus ciliatus Bigot, 1884 Ssymank and Lair 2014
Platycheirus fasciculatus Loew, 1856 Ssymank and Lair 2014
Alloxysta abdera Fergusson, 1986 Ferrer-Suay et al. 2015
Alloxysta arcuata (Kieffer, 1902) Ferrer-Suay et al. 2015
Alloxysta brachycera Hellén, 1963 Ferrer-Suay et al. 2015
Alloxysta brevis (Thomson, 1962) Ferrer-Suay et al. 2015
Alloxysta fracticornis (Thomson, 1862) Ferrer-Suay et al. 2015
Alloxysta mullensis (Cameron, 1883) Ferrer-Suay et al. 2015
Alloxysta pilipennis (Hartig, 1840) Ferrer-Suay et al. 2015
Alloxysta postica (Hartig, 1841) Ferrer-Suay et al. 2015
Alloxysta proxima Belizin, 1962 Ferrer-Suay et al. 2015
Apocharips trapezoidea (Hartig, 1841) Ferrer-Suay et al. 2015
Bactericera parastriola Conci, Ossiannilsson & Tamanini, 1988 Ouvrard et al. 2015
Cacopsylla propinqua (Schaefer, 1949) Ouvrard et al. 2015
Craspedolepta artemisiae (Foerster, 1848) Ouvrard et al. 2015
Craspedolepta nebulosa (Zetterstedt, 1828) Ouvrard et al. 2015
Cyamophila prohaskai (Priesner, 1927) Ouvrard et al. 2015
Trioza flixiana Burckhardt & Lauterer, 2002 Ouvrard et al. 2015
Trioza senecionis (Scopoli, 1763) Ouvrard et al. 2015
Trioza flixiana Burckhardt & Lauterer, 2002 Ouvrard et al. 2015
Lasioglossum (Dialictus) duckei (Alfken, 1909) Pauly et al. 2015
Phaenoglyphis abbreviata (Thomson, 1877) Ferrer-Suay et al. 2015
Phaenoglyphis americana Baker, 1896 Ferrer-Suay et al. 2015
Phaenoglyphis calverti Andrews, 1978 Ferrer-Suay et al. 2015
Phaenoglyphis evenhuisi Pujade-Villar & Paretas-Martínez, 2006 Ferrer-Suay et al. 2015
Phaenoglyphis fuscicornis (Thomson, 1877) Ferrer-Suay et al. 2015
Phaenoglyphis gutierrezi Andrews, 1978 Ferrer-Suay et al. 2015
Phaenoglyphis longicornis (Hartig, 1840) Ferrer-Suay et al. 2015
Nematopogon sericinellus Zeller, 1847

Leraut and Leraut 2015

Drepanepteryx algida (Erichson in Middendorff, 1851) Tillier 2015
Chrysotoxum tomentosum Giglio-Tos, 1890 Speight et al. 2016
Stelis franconica BLÜTHGEN 1930 Genoud and Dufrêne 2016
Apatania zonella (Zetterstedt, 1840) Coppa and Le Guellec 2017
Cheilosia rhodiolae Schmid, 2000 Speight et al. 2017
Cionus leonhardi Wingelmüller, 1914 Bouyon 2018
Acompsia subpunctella Svensson, 1966 Leraut and Leraut 2018
Cicadetta sibillae Fig. 11 Hertach & Trilar, 2015 Puissant and Gurcel 2018
Epiblema confusana (Herrich-Schäffer, 1856) Leraut and Leraut 2018
Scrobipalpa clintoni Povolný, 1968 Leraut and Leraut 2018
Chrysso nordica (Chamberlin & Ivie, 1947) Milano et al. 2019
Urozelotes trifidus Tuneva, 2003 Milano et al. 2019
Hoplodrina alsinides Costantini, 1922 Huemer et al. 2020

With 247,674 data sources, the ATBI contributes 0.33% of the total amount of data currently released in the INPN (in November 2020). The inventories added 1077 taxa for which no occurrence was previously recorded in the INPN and 1,244 taxa for which no occurrence was previously recorded in the National Park.

The importance of the information system and long-term preservation of data

The data management strategy is a critical factor for the success of an ATBI project (Langdon et al. 2006). It is a cross-cutting issue that influences the preparation, capture, sharing and use of information (Poncet and Caprio 2013, Ichter et al. 2018). Effective data management at the different stages makes it possible to properly analyse and to ensure they are always accessible and evolving.

The first challenge for the operation of an information system is a common understanding of the sharing rules and procedures by the different partners. This point is all the more important since the various participants often have their own tools and logic according to their resources and objectives. From our experience, data management was largely underestimated (Deharveng et al. 2015b, Villemant et al. 2015) and, as a consequence, part of the data or information on the specimens collected in the field were not entered in the database. For the purpose of this data paper, PatriNat (OFB/MNHN/CNRS) allocated extra resources to enter and publish data with special care for species new to science and species new to France.

The second challenge is interoperability. In the case of the ATBI Mercantour/Alpi Marittime, the cross-border management was an issue since it was not possible to agree on a unique information system for both technical (mainly taxonomical and geographical) and political reasons. Unfortunately, the information systems on both sides of the border are not interoperable. For that reason, this data paper is limited to the French part of the ATBI.

Finally, the long-term preservation of data needs specific infrastructures and resources. By definition, a comprehensive inventory of biodiversity is a long-lasting process. Due to the taxonomic impediment (Fontaine et al. 2012), the results for some of the least-known groups are expected to be published with some delay. Furthermore, taxonomy is a field that is constantly evolving and needs a regular update (see Taxonomic coverage). Therefore, it is necessary to consider the permanence of the information from the beginning of such projects. The first stage of the ATBI Mercantour/Alpi Marittime was coordinated by the EU-funded project EDIT and an ad-hoc database was designed and implemented. At the end of Work package 7, the database and the website have not been maintained, making both rapidly outdated. As a second phase of the project, both parks took the lead of the ATBI and it was decided that, for the French part, the MNHN will be responsible for data management through the INPN. Being recognised as the national information system for biodiversity, the INPN guarantees a long-term preservation of data both technically and scientifically (e.g. evaluation of taxonomy, monitoring of the publications).

Conclusion

The ATBI Mercantour/Alpi Marittime is the first and one of the most ambitious inventories of its kind in Europe. With 12,640 species registered, the ATBI is the most important inventory in France in terms of species' richness compared to similar initiatives, such as the Réserve naturelle nationale de la Forêt de la Massane in Pyrénées-Orientales (8,200 species in 3.37 km²), the Forêt de Païolive et le plateau des Gras in Ardèche-Gard (5,000 species in 150 km²) and the Réserve intégrale du Lauvitel in the Écrins National Park in Isère (2,200 species in 6.86 km²).

For the Mercantour National Park, the number of species known has doubled since 2007 and it is still growing. The success of the ATBI is the result of four main factors: the extensive sampling over a long period, the key biogeographic location, strong collaboration amongst a wide range of partners and the National Park's administration as the project manager. In terms of management, the discovery of endemic and potentially rare arthropods is a conservation asset similar to large mammals or birds of prey. The ATBI database is regularly used as a tool for a better management of ecosystems, such as forest and grassland. It also provides a consistent framework for future investigation, for example, taxonomic groups, sectors and times to inventory in priority and monitoring schemes. For all those reasons, the Mercantour National Park continues to invest in its ATBI with the support of its partners and a dynamic taxonomist community. The successful experience of the Mercantour/Alpi Marittime is also a benchmark for other national and regional parks (e.g. Ecrins, Vanoise, Queyras) that initiated an ATBI on their territory.

This data package of 247,674 species occurrences with precise information on date, location and altitude is for the first time publicly available for a wide range of uses including scientific investigation, natural area stewardship and conservation policies. More than 1000 scientific publications related to the ATBI Mercantour/Alpi Marittime have already been published (Granjou et al. 2014) and more are expected in the near future. The main outputs concern studies in the field of systematics (taxonomy, phylogenetic, chorology; see Villemant et al. 2015), but also in ecology (e.g. pollination, parasitism, zoochory, food chain; see Lefebvre et al. 2014, La Morgia et al. 2015) and conservation biology (see Bonelli et al. 2015, Villemant et al. 2015).

In the context of the increasing decline in biodiversity, it is more urgent than ever to increase our knowledge on poorly-studied biological groups (McKinney 1999, Sánchez-Bayo and Wyckhuys 2019, Cowie et al. 2022). The risk that species could disappear before being discovered is not only a reality in tropical ecosystems, but also in Europe (Dubois 2003, Mauz 2011, Fontaine et al. 2012). The authors recommend to broaden and replicate the initiative to a series of reference sites in France by taking into account biogeographical and ecosystem representation, including rural and urbanised sites and monitoring schemes. Finally, the information should be used for decision-making and conservation policies, both at local and national level.

Figure 11.  

Cicadetta sibillae (Hemiptera Cicadidae) new cicada species in France (Authors: K. Gurcel, under CC BY-NC-SA).

Acknowledgements

The authors wish to thank the hundreds of people involved in the ATBI Mercantour/Alpi Marittime during field surveys, species identification and data managment. Special attention is given to the staff at the Mercantour National Park for making the fieldwork possible. Thanks to the PatriNat (OFB/MNHN/CNRS) team for data managment and especially to Anaïs Chargros, Blandine Decherf, Claire Jacquet, Fanny Lepareur, Mathieu Manceau, Sophie Pamerlon, Kévin Plaetevoet, Rémy Poncet, Maëla Renaud, Frédéric Vest and Robin Vignaud for their contribution to this data paper. Thanks to H.-P. Tschorsnig and K. Gurcel for the pictures. The authors are truly indebted to Michelle Watson for the English revision.

This paper is dedicated to the memory of Professor Alain Couté, specialist in microalgae at the Muséum national d'Histoire naturelle and one of the pillars of the programme who passed away in 2020.

Author contributions

Jean Ichter: conceptualisation, writing, data curation and analyses. Olivier Gargominy: conceptualisation, data curation and analyses. Marie-France Leccia: conceptualisation and data curation. Solène Robert: conceptualisation and data curation. Laurent Poncet conceptualisation and supervision.

References

login to comment