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Geobiology: machine learning puts bioturbation on the map

Geobiology: machine learning puts bioturbation on the map
Geobiology: machine learning puts bioturbation on the map

Bioturbation, the mixing of sediment through the actions of organisms, is a crucial ecosystem engineering process that controls biogeochemical cycles and helps structure marine ecosystems. Machine learning is helping to develop global maps of the intensity and depth of bioturbation.

0960-9822
R630-R632
Cribb, Alison T.
70b2dee5-38d6-4d76-8d51-3e59048e819f
Darroch, Simon A.F.
d68f72f6-f391-4c79-9e8d-33e863da4b5a
Cribb, Alison T.
70b2dee5-38d6-4d76-8d51-3e59048e819f
Darroch, Simon A.F.
d68f72f6-f391-4c79-9e8d-33e863da4b5a

Cribb, Alison T. and Darroch, Simon A.F. (2024) Geobiology: machine learning puts bioturbation on the map. Current Biology, 34 (13), R630-R632. (doi:10.1016/j.cub.2024.05.038).

Record type: Letter

Abstract

Bioturbation, the mixing of sediment through the actions of organisms, is a crucial ecosystem engineering process that controls biogeochemical cycles and helps structure marine ecosystems. Machine learning is helping to develop global maps of the intensity and depth of bioturbation.

Text
CURBIO.20316 - Accepted Manuscript
Restricted to Repository staff only until 8 July 2025.
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More information

e-pub ahead of print date: 8 July 2024
Published date: 8 July 2024

Identifiers

Local EPrints ID: 493508
URI: http://eprints.soton.ac.uk/id/eprint/493508
ISSN: 0960-9822
PURE UUID: 42825a58-4a4e-4c97-b76e-01327fd20519
ORCID for Alison T. Cribb: ORCID iD orcid.org/0000-0002-8604-6100

Catalogue record

Date deposited: 04 Sep 2024 16:41
Last modified: 05 Sep 2024 02:05

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Contributors

Author: Alison T. Cribb ORCID iD
Author: Simon A.F. Darroch

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