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      Documenting Mantodea species in South African museum collections and an updated species list

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          Abstract

          Background

          The previous species list of South African Mantodea , published in 1998, was largely compiled from the literature and did not incorporate data from the many insect museum collections available in the country. It is estimated that approximately 120 species of Mantodea occur in South Africa; however, since no historical museum records were previously incorporated, the current information is considered to be outdated and not a true reflection of the Mantodea fauna within this region. A checklist of species is an important benchmark for any insect group, especially in light of the worldwide declines of insect diversity reported over the last decade. Checklists that provide accurate information on insect diversity, especially for groups, such as the Mantodea which could be under threat and thus could provide important information that can be used in determining the threat status of species, as well as to aid in their conservation in general.

          New information

          This paper provides an updated checklist of the praying mantids ( Insecta , Mantodea ) species of South Africa. While 120 species were previously reported to occur in South Africa, this paper reports 157 species in 64 genera that represent eight different superfamilies, 14 families and 22 subfamilies. Additionally, five species are reported for the first time to occur in South Africa. This species list was generated from the approximately 4000 specimen records of which 3558 records reside within South Africa. The remaining 732 records represent 14 other African countries. Occurrence records from two citizen-science platforms (iNaturalist and Gbif.org), were also incorporated in this study, adding 1880 species records in South Africa. The low number of specimens in the national collections indicate that this group of insects is poorly collected and highlights the lack of knowledge about South Africa’s mantid fauna, as well as a lack of taxonomic expertise as 1532 museum specimens remain unidentified to species level.

          Related collections

          Most cited references28

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          bold: The Barcode of Life Data System (http://www.barcodinglife.org)

          The Barcode of Life Data System (bold) is an informatics workbench aiding the acquisition, storage, analysis and publication of DNA barcode records. By assembling molecular, morphological and distributional data, it bridges a traditional bioinformatics chasm. bold is freely available to any researcher with interests in DNA barcoding. By providing specialized services, it aids the assembly of records that meet the standards needed to gain BARCODE designation in the global sequence databases. Because of its web-based delivery and flexible data security model, it is also well positioned to support projects that involve broad research alliances. This paper provides a brief introduction to the key elements of bold, discusses their functional capabilities, and concludes by examining computational resources and future prospects.
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            Arthropod assemblages are best predicted by plant species composition.

            Insects and spiders comprise more than two-thirds of the Earth's total species diversity. There is wide concern, however, that the global diversity of arthropods may be declining even more rapidly than the diversity of vertebrates and plants. For adequate conservation planning, ecologists need to understand the driving factors for arthropod communities and devise methods, that provide reliable predictions when resources do not permit exhaustive ground surveys. Which factor most successfully predicts arthropod community structure is still a matter of debate, however. The purpose of this study was to identify the factor best predicting arthropod assemblage composition. We investigated the species composition of seven functionally different arthropod groups (epigeic spiders, grasshoppers, ground beetles, weevils, hoppers, hoverflies, and bees) at 47 sites in The Netherlands comprising a range of seminatural grassland types and one heathland type. We then compared the actual arthropod composition with predictions based on plant species composition, vegetation structure, environmental data, flower richness, and landscape composition. For this we used the recently published method of predictive co-correspondence analysis, and a predictive variant of canonical correspondence analysis, depending on the type of predictor data. Our results demonstrate that local plant species composition is the most effective predictor of arthropod assemblage composition, for all investigated groups. In predicting arthropod assemblages, plant community composition consistently outperforms both vegetation structure and environmental conditions (even when the two are combined), and also performs better than the surrounding landscape. These results run against a common expectation of vegetation structure as the decisive factor. Such expectations, however, have always been biased by the fact that until recently no methods existed that could use an entire (plant) species composition in the explanatory role. Although more recent experimental diversity work has reawakened interest in the role of plant species, these studies still have not used (or have not been able to use) entire species compositions. They only consider diversity measures, both for plant and insect assemblages, which may obscure relationships. The present study demonstrates that the species compositions of insect and plant communities are clearly linked.
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              The notes from nature tool for unlocking biodiversity records from museum records through citizen science

              Abstract Legacy data from natural history collections contain invaluable and irreplaceable information about biodiversity in the recent past, providing a baseline for detecting change and forecasting the future of biodiversity on a human-dominated planet. However, these data are often not available in formats that facilitate use and synthesis. New approaches are needed to enhance the rates of digitization and data quality improvement. Notes from Nature provides one such novel approach by asking citizen scientists to help with transcription tasks. The initial web-based prototype of Notes from Nature is soon widely available and was developed collaboratively by biodiversity scientists, natural history collections staff, and experts in citizen science project development, programming and visualization. This project brings together digital images representing different types of biodiversity records including ledgers , herbarium sheets and pinned insects from multiple projects and natural history collections. Experts in developing web-based citizen science applications then designed and built a platform for transcribing textual data and metadata from these images. The end product is a fully open source web transcription tool built using the latest web technologies. The platform keeps volunteers engaged by initially explaining the scientific importance of the work via a short orientation, and then providing transcription “missions” of well defined scope, along with dynamic feedback, interactivity and rewards. Transcribed records, along with record-level and process metadata, are provided back to the institutions.  While the tool is being developed with new users in mind, it can serve a broad range of needs from novice to trained museum specialist. Notes from Nature has the potential to speed the rate of biodiversity data being made available to a broad community of users.

                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2023
                12 December 2023
                : 11
                : e102637
                Affiliations
                [1 ] North-West University, Potchefstroom, South Africa North-West University Potchefstroom South Africa
                Author notes
                Corresponding author: Bianca Greyvenstein ( biagrey90@ 123456gmail.com ).

                Academic editor: Yasen Mutafchiev

                Author information
                https://orcid.org/0000-0003-2033-7113
                https://orcid.org/0000-0003-1163-1468
                Article
                102637 21732
                10.3897/BDJ.11.e102637
                10848684
                38327382
                76d92dc7-8822-43e3-9ece-710f6e56cc4a
                Bianca Greyvenstein, Johnnie van den Berg, Hannalene du Plessis

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 February 2023
                : 16 November 2023
                Page count
                Figures: 3, Tables: 2, References: 28
                Categories
                Taxonomy & Inventories
                Insecta
                Hexapoda
                Invertebrata
                Animalia
                Mantodea
                Arthropoda
                Taxonomy
                Catalogues and Checklists
                Southern Africa
                South Africa, Lesotho and Swaziland
                Africa

                diversity,mantids,museum,species and south africa
                diversity, mantids, museum, species and south africa

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