Morphological evolution of creek networks in 10 restored coastal wetlands in the UK.

Autor: Chirol C; LSE, University of Lorraine, Nancy, 54000, France. clementine.chirol@univ-lorraine.fr.; Ocean and Earth Sciences, National Oceanography Centre Southampton, University of Southampton, Southampton, SO14 3ZH, UK. clementine.chirol@univ-lorraine.fr., Haigh ID; Ocean and Earth Sciences, National Oceanography Centre Southampton, University of Southampton, Southampton, SO14 3ZH, UK., Pontee N; Ocean and Earth Sciences, National Oceanography Centre Southampton, University of Southampton, Southampton, SO14 3ZH, UK.; Jacobs, One Glass Wharf, The West Wing, Bristol, BS2 0EL, UK., Thompson CEL; Ocean and Earth Sciences, National Oceanography Centre Southampton, University of Southampton, Southampton, SO14 3ZH, UK.; Channel Coastal Observatory, National Oceanography Centre, Southampton, SO14 3ZH, UK., Gallop SL; School of Science, University of Waikato, Tauranga, 3110, New Zealand.; Environmental Research Institute, University of Waikato, Hamilton, 3240, New Zealand.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2022 Apr 01; Vol. 9 (1), pp. 144. Date of Electronic Publication: 2022 Apr 01.
DOI: 10.1038/s41597-022-01199-4
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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