Biodiversity Data Journal
ISSN / EISSN : 1314-2836 / 1314-2828
Current Publisher: Pensoft Publishers (10.3897)
Total articles ≅ 932
Latest articles in this journal
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e66470
The digitisation of historical collections aims to increase global access to scientific artifacts, especially those from currently inaccessible areas. Historical collections from North Korea deposited at foreign herbaria play a fundamental role in biodiversity transformation patterns. However, the biodiversity pattern distribution in this region remains poorly understood given the severe gaps in available geographic species distribution records. Access to a dominant proportion of primary biodiversity data remains difficult for the broader scientific and environmental community. The digitisation of foreign collectors’ botanical collections of around 60,000 specimens from the Korean Peninsula before World War II is ongoing. In this paper, we aim to fill this gap by developing the first comprehensive, open-access database of biodiversity records for the Korean Peninsula. This paper provides a quantitative and general description of the specimens that Urbain Jean Faurie, Emile Joseph Taquet and Ernest Henry Wilson have collected and are kept in several herbaria. An open-access database of biodiversity records provides a simple guide to georeferencing historical collections. The first set describes E. H. Wilson’s collection of woody plants collected in the Korean Peninsula and preserved at the Harvard University Herbaria (A). This set includes 1,087 records collected from 1917 to 1918. The other collections contain specimens collected by E. J. Taquet (4,727 specimens from Quelpaert (Jeju), 1907–1914) and U. J. Faurie (3,659 specimens from North Korea and Quelpaert, 1901, 1906 and 1907). For each specimen, we recorded the species name, locality indication, collection date, collector, ecology and revision label. This set contains more than 9,400 specimens, with 22% of vascular plants from North Korea and 66% from Quelpaert (Jeju) Island. In these collections, we included some images that correspond to the specimens in this dataset.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e66649
The diversity and distribution of freshwater molluscs is poorly studied in the Republic of Georgia, due to the scarcity of field studies during the last 50 years. Here, we present the results of the first concerted investigation of freshwater mollusc biodiversity in the Javakheti Highlands, in the southern, mountainous region of Georgia. In total, we were able to collect 22 species from 42 sampling localities, including different kinds of freshwater habitats. Amongst the 22 collected species, 12 were recorded for the first time from Javakheti. From the newly-recorded species, Bathyomphalus contortus is a new country record, whose identity is supported by 16S rRNA sequence data.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e67437
Due to its special ways of hiding and lifestyle, Thelcticopis is a type of spider that is very difficult to collect. In 2018, we collected two huntsman spiders in Guangxi. After comparison with other Thelcticopis species, such as anterior median eye larger than other eyes, they were found to belong to the genus of Thelcticopis. Currently, four Thelcticopis species are reported from China, T. severa (L. Koch, 1875), T. zhengi Liu, Li & Jäger, 2010, T. dahanensis Zhu & Zhong, 2020 and T. unciformis Zhu & Zhong, 2020. They are mainly distributed in the tropical or subtropical areas of China (Fujian, Guangdong, Guangxi, Hainan, Hongkong, Hunan, Taiwan, Yunnan and Zhejiang). In this paper, we diagnose and describe a new species, Thelcticopis pinmini sp. nov., which was collected from Guangxi Province, China.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e68043
The leafhopper genus Anufrievia Dworakowska, 1970 includes 33 species and is widely distributed in China, Korea, South Korea, Japan, Nepal, India, Thailand and Vietnam. Two new species found at Bijie City and Shibing County, Guizhou Province, China are described and illustrated, A. crispata sp. nov. and A. confluensa sp. nov. A key to distinguish the Chinese species of the genus is given.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e66043
Herbarium collections and the data they hold are the main sources of plant biodiversity information. These collections contain taxonomical and spatial data on living and extinct species; consequently, they are the fundamental basis for temporal and spatial biogeographical studies of plants. Mega projects focused on providing digital and free access to accurate biodiversity data have transformed plant science research, mainly in the past two decades. In this sense, researchers today are overwhelmed by the many different datasets in online repositories. There are also several challenges involved in using these data for biogeographical analyses. Analyses performed on the data available in the repositories show that 70-75% of the total amount of data have spatial deficiencies and a high number of records lack coordinates. This shortage of reliable primary biogeographical information creates serious impediments for biogeographical analyses and conservation assessments and taxonomic revisions consequently produces obstacles for evaluations of threats to biodiversity at global, regional and local levels. With the aim of contributing to botanical and biogeographical research, this paper provides georeferenced spatial data for angiosperm species endemic to Brazil. The information from two reliable online databases, i.e. the Flora do Brasil 2020 floristic database (BFG) and Plantas do Brasil: Resgate Histórico e Herbário Virtual para o Conhecimento e Conservação da Flora Brasileira (REFLORA), which are both based on records collected over the course of the last two centuries, is used to create this spatial dataset. We provide three taxonomically-edited and georeferenced datasets for basal angiosperms, monocots and eudicots, covering a total of 14,992 endemic species from Brazil. Producing this consolidated dataset involved several months of detailed revision of coordinates and nomenclaturally updating of the names in these datasets. The information provided in this geo-referenced dataset, covering two centuries of specimen collections, will contribute to several botanical and mainly biogeographical studies.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e68046
The dataset covers wild tracheophytes (native species, naturalised aliens and casuals) of Vladimir Oblast, Russia. It includes only one occurrence per species per grid square, thereby recently confirmed earlier records are not duplicated. Georeferences are based on the WGS84 grid scheme with 342 squares with areas ranging from 94.7 km2 in the northernmost part to 98.2 km2 on the southern boundary (5′ lat. × 10′ long.). Each occurrence is linked to the corresponding grid square centroid, therefore actual coordinates, habitat details and voucher information are unavailable. In late 2011, the earlier version of the dataset was used for the production of grid maps in the standard "Flora of Vladimir Oblast: checklist and atlas". Additional records, obtained during field excursions of 2012 and 2013, were fully included in the "Flora of Vladimir Oblast: grid data analysis". The stable version of the dataset with 123,054 grid records (as of 1867–2013) was published in GBIF in 2017. Data obtained in the field during 2014–2020, as well as those extracted from recently published sources, were digitised, structured and finally published in GBIF in April 2021. The last update added 7,000 new grid records. Currently, "Flora of Vladimir Oblast, Russia: an updated grid dataset (1867–2020)" contains 130,054 unique occurrences of 1,465 vascular plant taxa (species, hybrids, species aggregates) from Vladimir Oblast and tiny parts of the adjacent areas. The average number of grid records has grown over the seven years from 363 to 380 species. The grid occurrences are largely based on the field studies by the author, performed during 1999–2020 (121,737 records), as well as on data extracted from the relevant literature, unpublished sources, herbarium collections and citizen science projects (8,317 records). The taxonomic backbone of the occurrence grid dataset follows the accompanying checklist dataset to ensure correct cross-linking of the names. As of April 2021, the dataset on the Vladimir Oblast flora represents the fourth largest dataset on vascular plants of Russia published in GBIF.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e67438
Dolichomitus Smith, 1877 is a genus of Darwin wasps characterised by their large bodies and long ovipositors, that includes more than 75 species worldwide, 20 of which occur in the Neotropical Region. Due to recent efforts, the number of species of this genus continues to increase in South America. A new iridescent species of Pimplinae, Dolichomitus meii sp. nov., is described and illustrated. It was discovered from the biological station of Yanayacu located in the north-eastern slopes of the tropical Andes. It may be separated from all other species of Dolichomitus Smith by the striking colour pattern and apically strongly decurved ovipositor.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e67667
The bushfrog genus Gracixalus Delorme, Dubois, Grosjean & Ohler, 2005 is found in southern and south-western China, Vietnam, Laos, Thailand and Myanmar. It is presently comprised of 17 species. In Thailand, only two species have been recorded, namely G. carinensis (Boulenger) and G. seesom (Massui, Khonsue, Panha & Eto). The latter of these two species is currently known to be endemic to the country. Based on recent field work conducted in 2019 in Doi Phu Kha National Park, Nan Province of northern Thailand, we are reporting two new records of the genus Gracixalus, G. quangi and G. yunnanensis, from Thailand, based on morphological and molecular evidence. In addition, this is the first study to report on the identification of a female specimen of G. yunnanensis. Furthermore, morphological data and natural history notes of the aforementioned species in Thailand have been provided, along with updated locations for the distribution of both species.
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e68131
Knowledge about the distribution of organisms on Earth is important backbone of biological sciences and especially for deeper understanding of biogeography. However, much of the existing distributional data are scattered throughout a multitude of sources (including in different languages), such as taxonomic publications, checklists and natural history collections and often, bringing them together is difficult. Development of the digital storage facilities may prevent loss of important data (Ruchin et al. 2020). Project GBIF is a good example of a successful data storage facility, which allows investigators to publish biodiversity data in one safe place in one uniform format. Our dataset describes the degree of the investigation of the fish fauna of the inland water of the Murmansk Region. Murmansk Region is a Euro-Arctic Region with a heterogeneous landscape, which determines diversity of the habitats for the fish occurrence. Our dataset contains valid information about distribution of the fish species. This dataset was built upon information obtained by the members of a Laboratory of the aquatic ecosystems of the Institute of North Industrial Ecology Problems of Kola Science Center of the Russian Academy of Science (INEP KSC RAS). The dataset includes 18,509 records about 16 fish species from 14 genera (eight families) collected from 1972 to 2021. A total of 67 water bodies from 15 different basins (rivers from basins of the White and Barents Seas) was screened in order to characterise ichthyocenoses. The main purpose of publishing a database is to make our data available in the global biodiversity system to a wide range of users. The data can be used by researchers, as well as helping the authorities to manage their territory more efficiently. All occurrences are published in GBIF for the first time. We would like to make this data available to everyone by adding it in the global biodiversity database (GBIF).
Biodiversity Data Journal, Volume 9; doi:10.3897/bdj.9.e66058
Tapinoma Foerster belongs to the ant subfamily Dolichoderinae and the vast majority of its species are arboreal or generalised foragers. The genus is composed of 70 described species, 22 known subspecies and six valid fossil species worldwide, while from the Arabian Peninsula, three species have been recorded so far. Ants of the genus Tapinoma of the Arabian Peninsula are reviewed, keyed and illustrated, based on the worker caste. Three species are diagnosed, T. melanocephalum (Fabricius, 1793), T. simrothi Krausse, 1911 and T. wilsoni Sharaf & Aldawood, 2012. We present the first illustrated key to the Arabian Tapinoma, enhanced by automontage images to facilitate species recognition. New distributional data for species are presented, based on recently-collected material from the region and literature records. Information on habitats' preference and biology of species are given.