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      Occurrence data on beetles (Coleoptera) collected in Dutch coastal dunes between 1953 and 1960

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          Abstract

          Background

          Historical field data in ecology are exceedingly rare and, therefore, their preservation and publication is of high importance, especially as these data can function as a point of reference for present day biodiversity research. Therefore, we digitised a 65-year-old dataset on ground-dwelling beetles caught with pitfall traps in the coastal dune area "Meijendel", situated in the western part of the Netherlands.

          New information

          The data presented in this paper has never been published in a systematic way before and has had a long journey from moment of capture to the current digitisation. From 1953 through to 1960, 100 pitfalls were active and catches were collected once a week. A total of 36,400 samples were aggregated with approximately 90,000 occurrences recorded. All captures were identified up to species level and counted and sex determined where possible. The database has been registered in the Global Biodiversity Information Facility (GBIF) and can be found under: https://www.gbif.org/dataset/9d02b439-aa5c-4c22-b1d9-d27fbde9e3ee.

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          Most cited references20

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          More than 75 percent decline over 27 years in total flying insect biomass in protected areas

          Global declines in insects have sparked wide interest among scientists, politicians, and the general public. Loss of insect diversity and abundance is expected to provoke cascading effects on food webs and to jeopardize ecosystem services. Our understanding of the extent and underlying causes of this decline is based on the abundance of single species or taxonomic groups only, rather than changes in insect biomass which is more relevant for ecological functioning. Here, we used a standardized protocol to measure total insect biomass using Malaise traps, deployed over 27 years in 63 nature protection areas in Germany (96 unique location-year combinations) to infer on the status and trend of local entomofauna. Our analysis estimates a seasonal decline of 76%, and mid-summer decline of 82% in flying insect biomass over the 27 years of study. We show that this decline is apparent regardless of habitat type, while changes in weather, land use, and habitat characteristics cannot explain this overall decline. This yet unrecognized loss of insect biomass must be taken into account in evaluating declines in abundance of species depending on insects as a food source, and ecosystem functioning in the European landscape.
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            Detecting range shifts from historical species occurrences: new perspectives on old data.

            The difficulty of making valid comparisons between historical and contemporary data is an obstacle to documenting range change in relation to environmental modifications. Recent statistical advances use occupancy modeling to estimate simultaneously the probability of detection and the probability of occupancy, and enable unbiased comparisons between historical and modern data; however, they require repeated surveys at the same locations within a time period. We present two models for explicitly comparing occupancy between historical and modern eras, and discuss methods to measure range change. We suggest that keepers of historical data have crucial roles in curating and aiding accessibility to data, and we recommend that collectors of contemporary specimen data organize their sampling efforts to include repeated surveys to estimate detection probabilities.
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              Data integration enables global biodiversity synthesis

              Significance As anthropogenic impacts to Earth systems accelerate, biodiversity knowledge integration is urgently required to support responses to underpin a sustainable future. Consolidating information from disparate sources (e.g., community science programs, museums) and data types (e.g., environmental, biological) can connect the biological sciences across taxonomic, disciplinary, geographical, and socioeconomic boundaries. In an analysis of the research uses of the world’s largest cross-taxon biodiversity data network, we report the emerging roles of open-access data aggregation in the development of increasingly diverse, global research. These results indicate a new biodiversity science landscape centered on big data integration, informing ongoing initiatives and the strategic prioritization of biodiversity data aggregation across diverse knowledge domains, including environmental sciences and policy, evolutionary biology, conservation, and human health.
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                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
                2022
                27 October 2022
                : 10
                : e90103
                Affiliations
                [1 ] Netherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology, Wageningen, Netherlands Netherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology Wageningen Netherlands
                [2 ] Wageningen University and Research, Biometris Mathematical and Statistical Methods Group, Wageningen, Netherlands Wageningen University and Research, Biometris Mathematical and Statistical Methods Group Wageningen Netherlands
                Author notes
                Corresponding author: L. Hemerik ( lia.hemerik@ 123456wur.nl ).

                Academic editor: Paulo Borges

                Author information
                https://orcid.org/0000-0002-2315-9677
                https://orcid.org/0000-0002-6892-2840
                Article
                90103 20050
                10.3897/BDJ.10.e90103
                9836538
                36761665
                adfe0c69-872f-4290-9bad-170801cdb378
                G.M. Gerrits, L. Hemerik

                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
                : 15 July 2022
                : 25 August 2022
                Page count
                Figures: 1, Tables: 1, References: 18
                Categories
                Data Paper (Biosciences)
                Animalia
                Ecology & Environmental sciences
                Biodiversity & Conservation
                Cenozoic
                Europe

                ground-dwelling beetles,historical field data,pitfalls,meijendel,gbif,carabids,meijendel research project

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