A fine-tuned global distribution dataset of marine forests
Assis, J.; Fragkopoulou, E.; Frade, D.G.; Neiva, J.; Oliveira, A.; Abecasis, D.; Faugeron, S.; Serrão, E.A. (2020). A fine-tuned global distribution dataset of marine forests. Scientific Data 7(1): 119. https://dx.doi.org/10.1038/s41597-020-0459-x
In: Scientific Data. Nature Publishing Group: London. ISSN 2052-4463; e-ISSN 2052-4463, meer
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| Auteurs | | Top |
- Assis, J.
- Fragkopoulou, E.
- Frade, D.G.
- Neiva, J.
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- Oliveira, A.
- Abecasis, D.
- Faugeron, S.
- Serrão, E.A.
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| Abstract |
Species distribution records are a prerequisite to follow climate-induced range shifts across space and time. However, synthesizing information from various sources such as peer-reviewed literature, herbaria, digital repositories and citizen science initiatives is not only costly and time consuming, but also challenging, as data may contain thematic and taxonomic errors and generally lack standardized formats. We address this gap for important marine ecosystem-structuring species of large brown algae and seagrasses. We gathered distribution records from various sources and provide a fine-tuned dataset with ~2.8 million dereplicated records, taxonomically standardized for 682 species, and considering important physiological and biogeographical traits. Specifically, a flagging system was implemented to signal potentially incorrect records reported on land, in regions with limiting light conditions for photosynthesis, and outside the known distribution of species, as inferred from the most recent published literature. We document the procedure and provide a dataset in tabular format based on Darwin Core Standard (DwC), alongside with a set of functions in R language for data management and visualization. |
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