Computed tomography reconstructions of burrow networks for the Opheliid polychaete, Armandia cirrhosa.

Autor: Howman RM; Ocean and Earth Science, National Oceanography Centre, Southampton, University of Southampton, Waterfront Campus, European Way, Southampton, SO14 3ZH, UK.; Québec Océan, Takuvik Joint International Laboratory CNRS, Université Laval, Quebec City, QC, Canada., Mavrogordato MN; University of Southampton, Engineering and the Environment, Highfield, Southampton, SO17 1BJ, UK., Alverez-Borges F; University of Southampton, Engineering and the Environment, Highfield, Southampton, SO17 1BJ, UK., Solan M; University of Southampton, Engineering and the Environment, Highfield, Southampton, SO17 1BJ, UK. m.solan@soton.ac.uk.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Jun 26; Vol. 11 (1), pp. 695. Date of Electronic Publication: 2024 Jun 26.
DOI: 10.1038/s41597-024-03557-w
Abstrakt: The morphology and architecture of structures formed by sediment-dwelling invertebrates, such as excavations or burrows, are often assumed to be characteristic of a given species, consistent across a range of environmental conditions, and used to categorise species contributions to ecosystem functioning. However, very few investigations use non-invasive high-resolution techniques capable of determining fine scale variations in burrow form and complexity, or consider whether or not the form of the burrow is context dependent. Here, we provide replicate high-resolution micro-focus computed tomography data for the complete burrow systems of the Opheliid polychaete, Armandia cirrhosa, across a range of salinity and habitat conditions. These data provide reference models which can be used by ecologists investigating intraspecific variation in species traits and organism-sediment interactions and, more generally, by those tasked with pattern and shape recognition of objects that are morphologically highly variable and which adjust their architecture with changing circumstance or context.
(© 2024. The Author(s).)
Databáze: MEDLINE
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