Category: Article collections

BiCIKL Project supports article collection in Biodiversity Data Journal about use of linked data

Welcomed are taxonomic and other biodiversity-related research articles, which demonstrate the advantages and novel approaches in accessing and (re-)using linked biodiversity data

The EU-funded project BiCIKL (Biodiversity Community Integrated Knowledge Library) will support free of charge publications* submitted to the dedicated topical collection: “Linking FAIR biodiversity data through publications: The BiCIKL approach” in the Biodiversity Data Journal, demonstrating advanced publishing methods of linked biodiversity data, so that they can be easily harvested, distributed and re-used to generate new knowledge. 

BiCIKL is dedicated to building a new community of key research infrastructures, researchers and citizen scientists by using linked FAIR biodiversity data at all stages of the research lifecycle, from specimens through sequencing, imaging, identification of taxa, etc. to final publication in novel, re-usable, human-readable and machine-interpretable scholarly articles.

Achieving a culture change in how biodiversity data are being identified, linked, integrated and re-used is the mission of the BiCIKL consortium. By doing so, BiCIKL is to help increase the transparency, trustworthiness and efficiency of the entire research ecosystem.

The new article collection welcomes taxonomic and other biodiversity-related research articles, data papers, software descriptions, and methodological/theoretical papers. These should demonstrate the advantages and novel approaches in accessing and (re-)using linked biodiversity data.

To be eligible for the collection, a manuscript must comply with at least two of the conditions listed below. In the submission form, the author needs to specify the condition(s) applicable to the manuscript. The author should provide the explanation in a cover letter, using the Notes to the editor field.

All submissions must abide by the community-agreed standards for terms, ontologies and vocabularies used in biodiversity informatics. 

The data used in the articles must comply with the Data Quality Checklist and Fair Data Checklist available in the Authors’ instructions of the journal.

Conditions for publication in the article collection:

  • The authors are expected to use explicit Globally Unique Persistent and Resolvable Identifiers (GUPRI) or other persistent identifiers (PIDs), where such are available, for the different types of data they use and/or cite in the manuscripts (specimens IDs, sequence accession numbers, taxon name and taxon treatment IDs, image IDs, etc.)

  • Global taxon reviews in the form of “cyber-catalogues” are welcome if they contain links of the key data elements (specimens, sequences, taxon treatments, images, literature references, etc.) to their respective records in external repositories. Taxon names in the text should not be hyperlinked. Instead, under each taxon name in the catalogue, the authors should add external links to, for example, Catalogue of Life, nomenclators (e.g. IPNI, MycoBank, Index Fungorum, ZooBank), taxon treatments in Plazi’s TreatmentBank or other relevant trusted resources.

  • Taxonomic papers (e.g. descriptions of new species or revisions) must contain persistent identifiers for the holotype, paratypes and at least most of the specimens used in the study.

  • Specimen records that are used for new taxon descriptions or taxonomic revisions and are associated with a particular Barcode Identification Number (BIN) or Species Hypothesis (SH) should be imported directly from BOLD or PlutoF, respectively, via the ARPHA Writing Tool data-import plugin.

  • More generally, individual specimen records used for various purposes in taxonomic descriptions and inventories should be imported directly into the manuscript from GBIF, iDigBio, or BOLD via the ARPHA Writing Tool data-import plugin. 

  • In-text citations of taxon treatments from Plazi’s TreatmentBank are highly welcome in any taxonomic revision or catalogue. The in-text citations should be hyperlinked to the original treatment data at TreatmentBank.

  • Hyperlinking other terms of importance in the article text to their original external data sources or external vocabularies is encouraged.

  • Tables that list gene accession numbers, specimens and taxon names, should conform to the Biodiversity Data Journal’s linked data tables guidelines.

  • Theoretical or methodological papers on linking FAIR biodiversity data are eligible for the BiCIKL collection if they provide real examples and use cases.

  • Data papers or software descriptions are eligible if they use linked data from the BiCIKL’s partnering research infrastructures, or describe tools and services that facilitate access to and linking between FAIR biodiversity data.

  • Articles that contain nanopublications created or added during the authoring process in Biodiversity Data Journal. A nanopublication is a scientifically meaningful assertion about anything that can be uniquely identified and attributed to its author and serve to communicate a single statement, for example biotic relationship between taxa, or habitat preference of a taxon. The in-built workflow ensures the linkage and its persistence, while the information is simultaneously human-readable and machine-interpretable.
  • Manuscripts that contain or describe any other novel idea or feature related to linked or semantically enhanced biodiversity data will be considered too.

We recommend authors to get acquainted with these two papers before they decide to submit a manuscript to the collection: 

Here are several examples of research questions that might be explored using semantically enriched and linked biodiversity data: 

(1) How does linking taxon names or Operational Taxonomic Units (OTUs) to related external data (e.g. specimen records, sequences, distributions, ecological & bionomic traits, images) contribute to a better understanding of the functions and regional/local processes within faunas/floras/mycotas or biotic communities?

(2) How could the production and publication of taxon descriptions and inventories – including those based mostly on genomic and barcoding data – be streamlined? 

(3) How could general conclusions, assertions and citations in biodiversity articles be expressed in formal, machine-actionable language, either to update prior work or express new facts (e.g. via nanopublications)? 

(4) How could research data and narratives be re-used to support more extensive and data-rich studies? 

(5) Are there other taxon- or topic-specific research questions that would benefit from richer, semantically enhanced FAIR biodiversity data?

All manuscripts submitted to the Biodiversity Data Journal have their data audited by data scientists prior to the peer review stage.

Once published, specimen records data are being exported in Darwin Core Archive to GBIF.

The data and taxon treatments are also exported to several additional data aggregators, such as TreatmentBank, the Biodiversity Literature Repository, and SiBILS amongst others. The full-text articles are also converted to Linked Open Data indexed in the OpenBiodiv Knowledge Graph.

All articles will need to acknowledge the BiCIKL project, Grant No 101007492 in the Acknowledgements section.

* The publication fee (APC) is waived for standard-sized manuscripts (up to 40,000 characters, including spaces) normally charged by BDJ at € 650. Authors of larger manuscripts will need to cover the surplus charge (€10 for each 1,000 characters above 40,000). See more about the APC policy at Biodiversity Data Journal, or contact the journal editorial team at: bdj@pensoft.net.

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Nature Conservation opens “Restoration of Wetlands” collection

The permanent topical article collection aims to bring together key insights into restoration of wetlands and coastal marine systems, thereby facilitating exchange among different disciplines.

The “Restoration of Wetlands” permanent topical article collection in the open-access, peer-reviewed scholarly journal Nature Conservation is now open for submissions, with the aim to bring together a wide spectrum of knowledge necessary to inform scientists, policy-makers and practitioners about key insights into restoration of wetlands and coastal marine systems, thereby facilitating exchange among different disciplines.

Being a permanent collection means that it is to welcome contributions indefinitely, whereas papers will progress to publication as soon as they are accepted by the editors. While they will be accessible from a central point: the collection, which is also assigned with its own DOI, the articles themselves will feature in different journal volumes, depending on their publication date.

Find more about the specificity of Special issues and Topical collections on the journal’s website.

The issue is managed by an international team of scientists:

“Worldwide, the loss of biodiversity in wetlands, like rivers and their floodplains and peatland but also in deltas and estuaries is dramatic,”

the guest editors explain.
Photo by Mathias Scholz.

Due to intensive land-use, including farming, urbanisation, drainage, construction of levees or bank stabilisation or straightening of river courses and coastlines, wetlands are losing their typical functions, such as carbon storage and habitat provision. As a result, the ecosystem services they provide are declining and so is the coastal biodiversity as a whole.

However, various restoration measures have been carried out to revitalise wetlands over the last decades, on a global scale. Some of those have already proved successful, while others are still on their way to improve wetland biodiversity and related ecosystem functions and services. For all these efforts, the end goal is to implement international biodiversity actions and policies for adaptation and mitigation of climate change.

Among others, the “Restoration of Wetlands” article collection in the Nature Conservation journal seeks to attract contributions addressing issues, such as the roles of society and planning, as well as biology in restoration; indicators to monitor and measure restoration success; the synergies between wetland restoration and climate change adaptation; and hands-on expertise in restoration.

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Find more about the “Restoration of Wetlands” collection on the Nature Conservation’s journal website. 

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One Ecosystem calls for papers that report ecosystem accounts

To help implement ecosystem accounts, the One Ecosystem journal provides a platform for scientists and statisticians to publish newly compiled accounting tables.

In March 2021, the UN Statistical Commission adopted the System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA).

SEEA EA is a spatially-based, integrated statistical framework for organising biophysical information about ecosystems, measuring ecosystem services, tracking changes in ecosystem extent and condition, valuing ecosystem services and assets and linking this information to measures of economic and human activity. 

To help implement ecosystem accounts, the One Ecosystem journal provides a platform for scientists and statisticians to publish newly compiled accounting tables. 

The “Ecosystem Accounts” permanent collection welcomes articles that describe and report ecosystem accounting tables, compiled following the standards set by the SEEA EA. The current version of the framework is fully described in United Nations et al. (2021). System of Environmental-Economic Accounting—Ecosystem Accounting (SEEA EA), available as a white cover publication, pre-edited text subject to official editing at: https://seea.un.org/ecosystem-accounting.

This collection does not accept research papers on ecosystem accounting that solely report new developments on accounting methods, such as new models for ecosystem services, new indicators for ecosystem condition or new techniques for monetary valuation of ecosystems. 

The inclusion of a compiled ecosystem accounting table is mandatory for this collection. Otherwise, papers will be diverted to the regular issue of One Ecosystem. In such cases, the authors may also choose to submit their contributions to another topical collection. 

Detailed instructions for authors

Submitting authors need to select One Ecosystem as a journal and “Ecosystem Accounting table” as an article template in ARPHA Writing Tool. 

Submissions to this collection shall respect the following requirements:

Introduction:

  • The introduction makes clear reference to the type (or types) of account(s) submitted, the accounting area, and the accounting period. The introduction should contain a clear reference to the SEEA EA. 
  • The following accounting tables can be published with data referring to a specific accounting area and for a given accounting period:
  • Ecosystem extent account – physical terms: Total extent of area of one or more ecosystem types 
  • Ecosystem condition account – physical terms: (Aggregated) data on selected ecosystem characteristics and optionally the distance from a reference condition.
  • Ecosystem services flow account – physical terms: Physical supply of final ecosystem services by ecosystem assets and the use of those services by economic units.
  • Ecosystem services flow account – monetary terms: The monetary estimate of final ecosystem services by ecosystem assets and the use of those services by economic units.
  • Monetary ecosystem asset account – monetary terms: Stocks and changes in stocks (additions and reductions) of ecosystem assets in monetary terms.

Data and methods

  • This section describes which typologies or classifications have been used to classify ecosystems, ecosystem condition indicators, ecosystem services, or economic sectors. Preference should be given to different typologies proposed by SEEA EA, but deviations or other typologies are acceptable as well. 
  • The section provides a list of all ecosystem types, variables, indicators, or economic sectors used in the accounting tables and it provides references to the data sources used to quantify them. 
  • Optionally, papers justify the use of variables and indicators making reference to specific selection criteria. 
  • For ecosystem service accounts, this section describes or refers to the methods used to quantify ecosystem services.
  • For monetary accounts, this section describes or refers to the methods used to assign monetary values to ecosystem services.
  • The use of supplementary materials is recommended in case the description of data and methods is too long. In that case, this section contains a summary of the data and methods. 

Accounting tables and results

  • This section presents the accounting table(s). Ideally, this section presents the most aggregated version of the accounting table(s), while detailed versions with a high number of rows and columns can be easily published as a spreadsheet in the supplement section of the paper.
  • Stylised versions of accounting tables are available in the SEEA EA guidelines. A stylized example for each ecosystem accounting table is available in MS Excel. It is highly recommended to follow these examples to the maximum possible extent. 
  • Graphs or maps that illustrate the accounting tables or that provide key results used to compile the accounting table can be published as well in this section. 

Discussion 

In this section, authors are invited to add at least one of the following topics:

  • A short interpretation of the results: are the reported data comparable to other published data on ecosystem extent, condition or services or do they deviate substantially. 
  • Critique or comments on the SEEA EA framework. Identify issues with application of the framework. Highlight areas for improvement or further research.
  • Demonstration of how the accounts have been or can be used to support policy and decision making or implementation. Particular cases of interest are (however, not restricted to) agricultural, forestry, fishery and biodiversity policies, biodiversity and ecosystem monitoring and reporting, ecosystem restoration projects, demonstrating values of ecosystems, or environmental impact assessments.

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Visit One Ecosystem’s website and the collection’s webpage. 

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Call for data papers describing datasets from Northern Eurasia in Biodiversity Data Journal

In collaboration with the Finnish Biodiversity Information Facility (FinBIF) and Pensoft Publishers, GBIF has announced a new call for authors to submit and publish data papers on Russia in a special collection of Biodiversity Data Journal (BDJ). The call extends and expands upon a successful effort in 2020 to mobilize data from European Russia.

GBIF partners with FinBIF and Pensoft’s Biodiversity Data Journal to streamline publication of new datasets about biodiversity from Northern Eurasia

Original post via GBIF

In collaboration with the Finnish Biodiversity Information Facility (FinBIF) and Pensoft Publishers, GBIF has announced a new call for authors to submit and publish data papers on Northern Eurasia in a special collection of Biodiversity Data Journal (BDJ). The call expands upon successful efforts to mobilize data from European Russia in 2020 and from the rest of Russia in 2021.

Until 30 June 2022, Pensoft will waive the article processing fee (normally €650) for the first 50 accepted data paper manuscripts that meet the following criteria for describing a dataset:

See the complete definition of these terms below.

Detailed instructions

Authors must prepare the manuscript in English and submit it in accordance with BDJ’s instructions to authors by 30 June 2022. Late submissions will not be eligible for APC waivers.

Sponsorship is limited to the first 50 accepted submissions meeting these criteria on a first-come, first-served basis. The call for submissions can therefore close prior to the deadline of 30 June 2022. Authors may contribute to more than one manuscript, but artificial division of the logically uniform data and data stories, or “salami publishing”, is not allowed.

BDJ will publish a special issue including the selected papers by the end of 2021. The journal is indexed by Web of Science (Impact Factor 1.225), Scopus (CiteScore: 2.0) and listed in РИНЦ / eLibrary.ru.

For non-native speakers, please ensure that your English is checked either by native speakers or by professional English-language editors prior to submission. You may credit these individuals as a “Contributor” through the AWT interface. Contributors are not listed as co-authors but can help you improve your manuscripts. BDJ will introduce stricter language checks for the 2022 call; poorly written submissions will be rejected prior to the peer-review process.

In addition to the BDJ instruction to authors, data papers must referenced the dataset by
a) citing the dataset’s DOI
b) appearing in the paper’s list of references
c) including “Northern Eurasia 2022” in the Project Data: Title and “N-Eurasia-2022“ in Project Data: Identifier in the dataset’s metadata.

Authors should explore the GBIF.org section on data papers and Strategies and guidelines for scholarly publishing of biodiversity data. Manuscripts and datasets will go through a standard peer-review process. When submitting a manuscript to BDJ, authors are requested to assign their manuscript to the Topical Collection: Biota of Northern Eurasia at step 3 of the submission process. To initiate the manuscript submission, remember to press the Submit to the journal button.

To see an example, view this dataset on GBIF.org and the corresponding data paper published by BDJ.

Questions may be directed either to Dmitry Schigel, GBIF scientific officer, or Yasen Mutafchiev, managing editor of Biodiversity Data Journal.

This project is a continuation of successful calls for data papers from European Russia in 2020 and 2021. The funded papers are available in the Biota of Russia special collection and the datasets are shown on the project page.

Definition of terms

Datasets with more than 7,000 presence records new to GBIF.org

Datasets should contain at a minimum 7,000 presence records new to GBIF.org. While the focus is on additional records for the region, records already published in GBIF may meet the criteria of ‘new’ if they are substantially improved, particularly through the addition of georeferenced locations.” Artificial reduction of records from otherwise uniform datasets to the necessary minimum (“salami publishing”) is discouraged and may result in rejection of the manuscript. New submissions describing updates of datasets, already presented in earlier published data papers will not be sponsored.

Justification for publishing datasets with fewer records (e.g. sampling-event datasets, sequence-based data, checklists with endemics etc.) will be considered on a case-by-case basis.

Datasets with high-quality data and metadata

Authors should start by publishing a dataset comprised of data and metadata that meets GBIF’s stated data quality requirement. This effort will involve work on an installation of the GBIF Integrated Publishing Toolkit. BDJ will conduct its standard data audit and technical review. All datasets must pass the data audit prior to a manuscript being forwarded for peer review.

Only when the dataset is prepared should authors then turn to working on the manuscript text. The extended metadata you enter in the IPT while describing your dataset can be converted into manuscript with a single-click of a button in the ARPHA Writing Tool (see also Creation and Publication of Data Papers from Ecological Metadata Language (EML) Metadata. Authors can then complete, edit and submit manuscripts to BDJ for review.

Datasets with geographic coverage in Northern Eurasia

In correspondence with the funding priorities of this programme, at least 80% of the records in a dataset should have coordinates that fall within the priority areas of Russia, Ukraine, Belarus, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan, Moldova, Georgia, Armenia and Azerbaijan. However, authors of the paper may be affiliated with institutions anywhere in the world.

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NeoBiota invites risk analysis studies in a new Special Issue on advancements in the screening of freshwater and terrestrial non-native species

The “Recent advancements in the risk screening of freshwater and terrestrial non-native species” Special Issue in the open-access, peer-reviewed scholarly journal NeoBiota is now open for submissions. The deadline for submission is 30 April 2022, with the issue scheduled for publication in August 2022.

The “Recent advancements in the risk screening of freshwater and terrestrial non-native species” Special Issue in the open-access, peer-reviewed scholarly journal NeoBiota is now open for submissions.

The issue is managed by the international team of guest editors of Dr Daniela Giannetto (Mugla Sitki Kocman University, Turkey), Prof. Marina Piria (University of Zagreb, Croatia), Prof. Ali Serhan Tarkan (Mugla Sitki Kocman University, Turkey) and Dr Grzegorz Zięba (University of Lodz, Poland).

Update: The deadline for submission has been extended to 30 April 2022, with the issue expected to be published in August 2022. 

The new special issue is expected to collate prominent contributors from the field of invasive ecology, thereby addressing existing gaps in the knowledge about both freshwater and terrestrial non-native species and their management.

The editors note that despite the current efforts and measures to monitor and tackle the spread of non-native species, and especially those posing imminent threat to local biodiversity and ecosystems, further expansion of such populations has increasingly been recorded in recent years. Of special concern are developing countries, where legislation for controlling non-native species is still lacking.

A major problem is that – as of today – we are still missing on risk screening studies needed to provide evidence for the invasiveness potential of many non-native species across several taxonomic groups, which would then be used to support specific conservation efforts. Unfortunately, this is particularly true for species inhabiting the world’s biodiversity hotspots, point out the editors.

Risk-based identification of non-native species is an essential process to inform policy and actions for conservation and management of biodiversity. Previously published papers on risk screening of aquatic non-native species, and especially those using the most widely-employed ‘-ISK’ decision-support toolkits, have attracted mounting interest from the wider scientific community.

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Visit NeoBiota’s journal website at: https://neobiota.pensoft.net/ 

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Journal Alpine Entomology calls for contributions in a new topical collection

“Trends in Arthropods of Alpine Aquatic Ecosystems” is the first topical collection for the journal of the Swiss Entomological Society

“Trends in Arthropods of Alpine Aquatic Ecosystems” is the first topical collection for the journal of the Swiss Entomological Society

The open-access, peer-reviewed scholarly journal Alpine Entomology, published by Pensoft on behalf of the Swiss Entomological Society, announced its very first topical collection of articles, which will be focusing on arthropods associated with aquatic ecosystems in mountainous regions.

The journal is currently inviting scientists, working on aquatic fauna from alpine habitats, to openly publish their research articles and short notices that provide evidence how arthropods’ biogeography, species communities, distribution, behaviour and morphology have changed in recent times. 

“Aquatic invertebrates are key indicators of global or local changes. Furthermore, many aquatic ecosystems are closely linked to mountains because they originate in them. Many valuable unpublished datasets on aquatic arthropod fauna may therefore be available from mountainous regions,”

explain the rationale behind the newly opened topical article collection guest editors Dr. Jean-Luc Gattolliat (Museum of Zoology, Lausanne and University of Lausanne, Switzerland) and Dr. David Muranyi (Eszterházy Károly Catholic University, Hungary).

The aim of the “Trends in Arthropods of Alpine Aquatic Ecosystems” collection is to bring together data and findings about what many agree is the most impacted type of environment on Earth: aquatic ecosystems, especially running waters.

The collection will remain open for submissions for the next two years. In the meantime, the accepted manuscripts will be published on a rolling basis, as soon as they are ready for publication.

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Visit the journal’s website at: https://alpineentomology.pensoft.net/ 
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Call for data papers describing datasets from Russia to be published in Biodiversity Data Journal

GBIF partners with FinBIF and Pensoft to support publication of new datasets about biodiversity from across Russia

Original post via GBIF

In collaboration with the Finnish Biodiversity Information Facility (FinBIF) and Pensoft Publishers, GBIF has announced a new call for authors to submit and publish data papers on Russia in a special collection of Biodiversity Data Journal (BDJ). The call extends and expands upon a successful effort in 2020 to mobilize data from European Russia.

Between now and 15 September 2021, the article processing fee (normally €550) will be waived for the first 36 papers, provided that the publications are accepted and meet the following criteria that the data paper describes a dataset:

The manuscript must be prepared in English and is submitted in accordance with BDJ’s instructions to authors by 15 September 2021. Late submissions will not be eligible for APC waivers.

Sponsorship is limited to the first 36 accepted submissions meeting these criteria on a first-come, first-served basis. The call for submissions can therefore close prior to the stated deadline of 15 September 2021. Authors may contribute to more than one manuscript, but artificial division of the logically uniform data and data stories, or “salami publishing”, is not allowed.

BDJ will publish a special issue including the selected papers by the end of 2021. The journal is indexed by Web of Science (Impact Factor 1.331), Scopus (CiteScore: 2.1) and listed in РИНЦ / eLibrary.ru.

For non-native speakers, please ensure that your English is checked either by native speakers or by professional English-language editors prior to submission. You may credit these individuals as a “Contributor” through the AWT interface. Contributors are not listed as co-authors but can help you improve your manuscripts.

In addition to the BDJ instruction to authors, it is required that datasets referenced from the data paper a) cite the dataset’s DOI, b) appear in the paper’s list of references, and c) has “Russia 2021” in Project Data: Title and “N-Eurasia-Russia2021“ in Project Data: Identifier in the dataset’s metadata.

Authors should explore the GBIF.org section on data papers and Strategies and guidelines for scholarly publishing of biodiversity data. Manuscripts and datasets will go through a standard peer-review process. When submitting a manuscript to BDJ, authors are requested to select the Biota of Russia collection.

To see an example, view this dataset on GBIF.org and the corresponding data paper published by BDJ.

Questions may be directed either to Dmitry Schigel, GBIF scientific officer, or Yasen Mutafchiev, managing editor of Biodiversity Data Journal.

The 2021 extension of the collection of data papers will be edited by Vladimir Blagoderov, Pedro Cardoso, Ivan Chadin, Nina Filippova, Alexander Sennikov, Alexey Seregin, and Dmitry Schigel.

This project is a continuation of the successful call for data papers from European Russia in 2020. The funded papers are available in the Biota of Russia special collection and the datasets are shown on the project page.

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Definition of terms

Datasets with more than 5,000 records that are new to GBIF.org

Datasets should contain at a minimum 5,000 new records that are new to GBIF.org. While the focus is on additional records for the region, records already published in GBIF may meet the criteria of ‘new’ if they are substantially improved, particularly through the addition of georeferenced locations.” Artificial reduction of records from otherwise uniform datasets to the necessary minimum (“salami publishing”) is discouraged and may result in rejection of the manuscript. New submissions describing updates of datasets, already presented in earlier published data papers will not be sponsored.

Justification for publishing datasets with fewer records (e.g. sampling-event datasets, sequence-based data, checklists with endemics etc.) will be considered on a case-by-case basis.

Datasets with high-quality data and metadata

Authors should start by publishing a dataset comprised of data and metadata that meets GBIF’s stated data quality requirement. This effort will involve work on an installation of the GBIF Integrated Publishing Toolkit.

Only when the dataset is prepared should authors then turn to working on the manuscript text. The extended metadata you enter in the IPT while describing your dataset can be converted into manuscript with a single-click of a button in the ARPHA Writing Tool (see also Creation and Publication of Data Papers from Ecological Metadata Language (EML) Metadata. Authors can then complete, edit and submit manuscripts to BDJ for review.

Datasets with geographic coverage in Russia

In correspondence with the funding priorities of this programme, at least 80% of the records in a dataset should have coordinates that fall within the priority area of Russia. However, authors of the paper may be affiliated with institutions anywhere in the world.

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Check out the Biota of Russia dynamic data paper collection so far.

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New DNA barcoding project aims at tracking down the “dark taxa” of Germany’s insect fauna

New dynamic article collection at Biodiversity Data Journal is already accumulating the project’s findings

About 1.4 million species of animals are currently known, but it is generally accepted that this figure grossly underestimates the actual number of species in existence, which likely ranges between five and thirty million species, or even 100 million. 

Meanwhile, a far less well-known fact is that even in countries with a long history of taxonomic research, such as Germany, which is currently known to be inhabited by about 48,000 animal species, there are thousands of insect species still awaiting discovery. In particular, the orders Diptera (flies) and Hymenoptera (especially the parasitoid wasps) are insect groups suspected to contain a strikingly large number of undescribed species. With almost 10,000 known species each, these two insect orders account for approximately two-thirds of Germany’s insect fauna, underlining the importance of these insects in many ways.

The conclusion that there are not only a few, but so many unknown species in Germany is a result of the earlier German Barcode of Life projects: GBOL I and GBOL II, both supported by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) and the Bavarian Ministry of Science under the project Barcoding Fauna Bavarica. 

In its previous phases, GBOL aimed to identify all German species reliably, quickly and inexpensively using DNA barcodes. Since the first project was launched twelve years ago, more than 25,000 German animal species have been barcoded. Among them, the comparatively well-known groups, such as butterflies, moths, beetles, grasshoppers, spiders, bees and wasps, showed an almost complete coverage of the species inventory.

In 2020, another BMBF-funded DNA barcoding project, titled GBOL III: Dark Taxa, was launched, in order to focus on the lesser-known groups of Diptera and parasitoid Hymenoptera, which are often referred to as “dark taxa”. The new project commenced at three major German natural history institutions: the Zoological Research Museum Alexander Koenig (Bonn), the Bavarian State Collection of Zoology (SNSB, Munich) and the State Museum of Natural History Stuttgart, in collaboration with the University of Würzburg and the Entomological Society Krefeld. Together, the project partners are to join efforts and skills to address a range of questions related to the taxonomy of the “dark taxa” in Germany.

As part of the initiative, the project partners are invited to submit their results and outcomes in the dedicated GBOL III: Dark Taxa article collection in the peer-reviewed, open-access Biodiversity Data Journal. There, the contributions will be published dynamically, as soon as approved and ready for publication. The articles will include taxonomic revisions, checklists, data papers, contributions to methods and protocols, employed in DNA barcoding studies with a focus on the target taxa of the project.

“The collection of articles published in the Biodiversity Data Journal is an excellent approach to achieving the consortium’s goals and project partners are encouraged to take advantage of the journal’s streamlined publication workflows to publish and disseminate data and results that were generated during the project,”

says the collection’s editor Dr Stefan Schmidt of the Bavarian State Collection of Zoology.

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Find and follow the dynamic article collection GBOL III: Dark Taxa in Biodiversity Data Journal.

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