Morphological evolution of creek networks in 10 restored coastal wetlands in the UK
Morphological evolution of creek networks in 10 restored coastal wetlands in the UK
Coastal wetlands provide crucial ecosystem services including flood protection and carbon storage, but are being lost rapidly worldwide to the combined effects of sea-level rise, erosion and coastal urbanisation. Managed Realignment (MR) aims to mitigate for these losses by restoring reclaimed land to tidal influence. Data of creek evolution is critical to assess the performance of design strategies and improve design and implementation practices. This data descriptor provides a dataset of the horizontal morphological evolution of creek systems from various initial conditions in 10 MR schemes across the UK. Using a semi-automated workflow, morphological creek parameters were extracted from 52 lidar datasets at 1 m horizontal resolution spanning 2 to 20 years post-breach. This constitutes the most comprehensive systematic monitoring of MR creek morphology to date. The dataset will assist future MR design and provide baseline morphological information for ecological and biogeochemical surveying.
Chirol, Clementine
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Haigh, Ivan
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Pontee, Nigel
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Thompson, Charlie
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Gallop, Shari L.
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1 April 2022
Chirol, Clementine
4c819785-4361-4d1b-9905-27ae4e72659e
Haigh, Ivan
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Pontee, Nigel
d7168f5a-6e4f-4aa1-b7f8-fdf81405a432
Thompson, Charlie
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Gallop, Shari L.
be66589c-137a-4e23-81d2-8e3b901a5307
Chirol, Clementine, Haigh, Ivan, Pontee, Nigel, Thompson, Charlie and Gallop, Shari L.
(2022)
Morphological evolution of creek networks in 10 restored coastal wetlands in the UK.
Scientific Data, 9 (144).
(doi:10.1038/s41597-022-01199-4).
Abstract
Coastal wetlands provide crucial ecosystem services including flood protection and carbon storage, but are being lost rapidly worldwide to the combined effects of sea-level rise, erosion and coastal urbanisation. Managed Realignment (MR) aims to mitigate for these losses by restoring reclaimed land to tidal influence. Data of creek evolution is critical to assess the performance of design strategies and improve design and implementation practices. This data descriptor provides a dataset of the horizontal morphological evolution of creek systems from various initial conditions in 10 MR schemes across the UK. Using a semi-automated workflow, morphological creek parameters were extracted from 52 lidar datasets at 1 m horizontal resolution spanning 2 to 20 years post-breach. This constitutes the most comprehensive systematic monitoring of MR creek morphology to date. The dataset will assist future MR design and provide baseline morphological information for ecological and biogeochemical surveying.
Text
s41597-022-01199-4
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Accepted/In Press date: 11 February 2022
Published date: 1 April 2022
Identifiers
Local EPrints ID: 477615
URI: http://eprints.soton.ac.uk/id/eprint/477615
ISSN: 2052-4463
PURE UUID: d6101a62-3b8b-4d45-9d32-b0f0f9f9fb22
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Date deposited: 09 Jun 2023 16:51
Last modified: 17 Mar 2024 03:07
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Contributors
Author:
Clementine Chirol
Author:
Nigel Pontee
Author:
Shari L. Gallop
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