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Diversity, fragmentation, and connectivity across the UK amphibian and reptile data management landscape

Turner, Rebecca K., Griffiths, Richard A., Wilkinson, John W., Julian, Angela M., Toms, Mike P., Isaac, Nicholas J.B. (2022) Diversity, fragmentation, and connectivity across the UK amphibian and reptile data management landscape. Biodiversity and Conservation, 32 (1). pp. 37-64. ISSN 0960-3115. E-ISSN 1572-9710. (doi:10.1007/s10531-022-02502-w) (KAR id:97953)


Large-scale biodiversity monitoring remains a challenge in science and policy. ‘Biodiversity Observation Networks’ provide an integrated infrastructure for monitoring biodiversity through timely discovery, access, and re-use of data, but their establishment relies on an in-depth understanding of existing monitoring effort. We performed a scoping review and network analysis to assess the scope of available data on amphibians and reptiles in the UK and catalogue the mobilisation of information across the data landscape, thereby highlighting existing gaps. The monitoring portfolio has grown rapidly in recent decades, with over three times as many data sources than there are amphibian and reptile species in the UK now available. We identified 45 active sources of ‘FAIR’ (‘Findable’, ‘Accessible’, ‘Interoperable’ and ‘Reusable’) data. The taxonomic, geographic and temporal coverage of datasets appears largely uneven and no single source is currently suitable for producing robust multispecies assessments on large scales. A dynamic and patchy exchange of data occurs between different recording projects, recording communities and digital data platforms. The National Biodiversity Network Atlas is a highly connected source but the scope of its data (re-)use is potentially limited by insufficient accompanying metadata. The emerging complexity and fragmented nature of this dynamic data landscape is likely to grow without a concerted effort to integrate existing activities. The factors driving this complexity extend beyond the UK and to other facets of biodiversity. We recommend integration and greater stakeholder collaboration behind a coordinated infrastructure for data collection, storage and analysis, capable of delivering comprehensive assessments for large-scalecbiodiversity monitoring

Item Type: Article
DOI/Identification number: 10.1007/s10531-022-02502-w
Additional information: For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising
Uncontrolled keywords: Biodiversity data, Biodiversity observation network (BON), Biodiversity, monitoring, FAIR data, Citizen science, Network analysis
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions: Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Funders: Natural Environment Research Council (
Depositing User: Richard Griffiths
Date Deposited: 13 Nov 2022 21:08 UTC
Last Modified: 27 Feb 2024 12:16 UTC
Resource URI: (The current URI for this page, for reference purposes)

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