Integrating freshwater biodiversity data sources: key challenges and opportunities

Jarvis, Susan G. ORCID: https://orcid.org/0000-0001-5382-5135; Mackay, Eleanor B. ORCID: https://orcid.org/0000-0001-5697-7062; Risser, Hannah A. ORCID: https://orcid.org/0000-0001-9819-1092; Feuchtmayr, Heidrun; Fry, Matthew ORCID: https://orcid.org/0000-0003-1142-4039; Isaac, Nick J.B. ORCID: https://orcid.org/0000-0002-4869-8052; Thackeray, Stephen J. ORCID: https://orcid.org/0000-0003-3274-2706; Henrys, Peter A. ORCID: https://orcid.org/0000-0003-4758-1482. 2023 Integrating freshwater biodiversity data sources: key challenges and opportunities. Freshwater Biology, 68 (9). 1479-1488. 10.1111/fwb.14143

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Abstract/Summary

1. In order to better quantify spatial and temporal patterns in freshwater biodiversity, and potential underlying drivers of change, we must utilise the increasingly broad range of data available on freshwater ecosystems. Statistical advances in the field of integrated modelling provide new opportunities to further our understanding through the combined and simultaneous analysis of these diverse datasets. 2. We briefly introduce integrated modelling in the context of freshwater biodiversity and outline the key steps involved in its implementation, from data collection to analysis. We highlight both opportunities and challenges for the application of integrated approaches. 3. To illustrate the potential for integrated models to improve our understanding of freshwater biodiversity compared to standard approaches, we combine two datasets collected using different methods to model the distribution of Agabus water beetles in England. The integrated model had greater power to detect covariate effects on Agabus distribution, and reduced parameter uncertainty compared with analysis using only a single dataset. 4. We show that integrated methods have the potential to increase our understanding of freshwater systems and enable us to make full use of the diversity of freshwater data available.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1111/fwb.14143
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-) Soils and Land Use (Science Area 2017-) Water Resources (Science Area 2017-)
ISSN:	0046-5070
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	citizen science, data access, integrated model, statistics, water beetle
NORA Subject Terms:	Ecology and Environment Hydrology Data and Information
Related URLs:	Dataset Dataset Other Other
Date made live:	09 Nov 2023 10:12 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535770

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