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FreshLanDiv: a global database of freshwater biodiversity across different land uses
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Department of Biological Sciences, Faculty of Sciences and Letters (FCL), São Paulo State University (UNESP), Assis, Brazil.
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2024 (English)In: Global Ecology and Biogeography, ISSN 1466-822X, E-ISSN 1466-8238, Vol. 33, no 12, article id e13917Article in journal (Refereed) Published
Abstract [en]

Motivation: Freshwater ecosystems have been heavily impacted by land-use changes, but data syntheses on these impacts are still limited. Here, we compiled a global database encompassing 241 studies with species abundance data (from multiple biological groups and geographic locations) across sites with different land-use categories. This compilation will be useful for addressing questions regarding land-use change and its impact on freshwater biodiversity.

Main Types of Variables Contained: The database includes metadata of each study, sites location, sample methods, sample time, land-use category and abundance of each taxon.

Spatial Location and Grain: The database contains data from across the globe, with 85% of the sites having well-defined geographical coordinates.

Major Taxa and Level of Measurement: The database covers all major freshwater biological groups including algae, macrophytes, zooplankton, macroinvertebrates, fish and amphibians.

Place, publisher, year, edition, pages
John Wiley & Sons, 2024. Vol. 33, no 12, article id e13917
Keywords [en]
abundance, data sharing, land-use categories, lentic ecosystems, lotic ecosystems
National Category
Ecology
Identifiers
URN: urn:nbn:se:umu:diva-231538DOI: 10.1111/geb.13917ISI: 001376736900001Scopus ID: 2-s2.0-85207819543OAI: oai:DiVA.org:umu-231538DiVA, id: diva2:1914799
Available from: 2024-11-20 Created: 2024-11-20 Last updated: 2025-04-24Bibliographically approved

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Jonsson, Micael

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