Tracers reveal limited influence of plantation forests on surface runoff in a UK natural flood management catchment
Peskett, Leo M.; Heal, Kate V.; MacDonald, Alan M. ORCID: https://orcid.org/0000-0001-6636-1499; Black, Andrew R.; McDonnell, Jeffrey J.. 2021 Tracers reveal limited influence of plantation forests on surface runoff in a UK natural flood management catchment. Journal of Hydrology: Regional Studies, 36, 100834. https://doi.org/10.1016/j.ejrh.2021.100834
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Abstract/Summary
Study region United Kingdom (UK). Study focus Natural flood management (NFM) schemes are increasingly prominent in the UK. Studies of NFM have not yet used natural tracers at catchment scale to investigate how interventions influence partitioning during storms between surface rainfall runoff and water already stored in catchments. Here we investigate how catchment properties, particularly plantation forestry, influence surface storm rainfall runoff. We used hydrograph separation based on hydrogen and oxygen isotopes (2H, 18O) and acid neutralising capacity from high flow events to compare three headwater catchments (2.4-3.1 km2) with differences in plantation forest cover (Picea sitchensis: 94%, 41%, 1%) within a major UK NFM pilot, typical of the UK uplands. New hydrological insights Plantation forest cover reduced the total storm rainfall runoff fraction during all events (by up to 11%) when comparing two paired catchments with similar soils, geology and topography but ∼50% difference in forest cover. However, comparison with the third catchment, with negligible forest cover but different characteristics, suggests that soils and geology were dominant controls on storm rainfall runoff fraction. Furthermore, differences between events were greater than differences between catchments. These findings suggest that while plantation forest cover may influence storm rainfall runoff fractions, it is not a dominant control in temperate upland UK catchments, especially for larger events. Soils and geology may exert greater influence, with implications for planning NFM.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1016/j.ejrh.2021.100834 |
ISSN: | 22145818 |
Additional Keywords: | GroundwaterBGS, Groundwater |
Date made live: | 28 May 2021 13:30 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/530431 |
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