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A trait database for southern African freshwater invertebrates

期刊

AFRICAN JOURNAL OF AQUATIC SCIENCE
卷 48, 期 1, 页码 64-70

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TAYLOR & FRANCIS LTD
DOI: 10.2989/16085914.2022.2142505

关键词

behavioural trait; biological monitoring; biological trait; ecological preference; functional ecology; prediction; taxonomy

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Invertebrates are important indicators of ecosystem health. Their traits can be used for impact diagnosis and assemblage prediction, as well as to understand ecosystem functional responses to stressors. However, the lack of trait information and a local trait database for southern African invertebrates hinders the use of this approach for biological monitoring. To address this gap, a trait database for southern African freshwater invertebrates was compiled, providing information on 40 trait categories and taxonomic flexibility.
Invertebrates are often used as indicators of ecosystem health. In community ecology, the use of organism traits (e.g. behavioural, biological or ecological) can be of value in relation to impact diagnosis and assemblage prediction. It has also been recognised that certain traits are related to ecosystem function, and their use in biological monitoring provide insights into ecosystem functional responses to stressors. However, the paucity of trait information and non-availability of a local trait database for southern African invertebrates impede progress in using this approach for biological monitoring. To address this critical gap, we compiled an updateable trait database for southern African freshwater invertebrates. The database contains information on 40 trait categories and 204 trait attribute/modalities. Of the 40 trait categories included in the database, 12 are biological, 12 are behavioural, and 16 are ecological preferences. The database is designed to accommodate taxonomic flexibility. In this regard, trait information is entered at multiple taxonomic levels: family, genus, and species, allowing researchers working at different taxonomic resolutions to retrieve relevant information. While there are still gaps in the database, this effort represents the first attempt to synthesise available trait information on southern African freshwater invertebrates.

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