Cite this dataset as
Neris, J., Doerr, S.H., Santin, C., Sanchez-Garcia, C., Sheridan, G.J. (2023). Sediment yield measurements for fire-affected locations in the United Kingdom (2018-2019), Tenerife (2018-2019) and Australia (2019-2020). NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/a0417339-2c2b-4f68-9f47-c77a58cf42ca
Import this citation into your reference management software:
BibTeX | Reference Manager (RIS) | Endnote
This dataset is available under the terms of the Open Government Licence 
Sediment yield measurements for fire-affected locations in the United Kingdom (2018-2019), Tenerife (2018-2019) and Australia (2019-2020)
This dataset describes sediment yields measured in three different locations and time periods after forest fires in UK, Spain and Australia:
- Madre del Agua (Tenerife, Spain): 17/08/18 to 14/11/2019
- Thompson (Victoria, Australia): 13/05/19 to 14/01/2020
- Saddleworth (Manchester, UK): 03/08/18 to 30/10/2019
Data were collected using erosion plots and silt fences at hillslope scale to monitor sediment and ash transport during rain events.
- Madre del Agua (Tenerife, Spain): 17/08/18 to 14/11/2019
- Thompson (Victoria, Australia): 13/05/19 to 14/01/2020
- Saddleworth (Manchester, UK): 03/08/18 to 30/10/2019
Data were collected using erosion plots and silt fences at hillslope scale to monitor sediment and ash transport during rain events.
Publication date: 2023-10-12
View record as
Format
Comma-separated values (CSV)
Spatial information
- Study area
-
- Spatial representation type
- Triangular irregular network
- Spatial reference system
- WGS 84
Temporal information
- Temporal extent
-
2018-08-03 to 2020-01-14
Provenance & quality
Six erosion plots (3x8 m2) and silt fences per treatment were installed at each location.
Treatments varied between locations:
- Madre del Agua (6 treatments): control (C), 1.5 T/ha pine needle mulch (n1), 5 T/ha pine needle mulch (n2), 8 T/ha wood chips mulch (w1), 12 T/ha wood chips mulch (w2)
- Thompson (3 treatments): low (low), moderate (moderate) and high (high) fire severity.
- Saddleworth (2 treatments): high (HS) and extreme (ES) fire severity.
Silt fences were cleaned out periodically after rain events. The collected sediments were weighed in the field, and a subsample taken to the laboratory to calculate its water content (weighed, oven-dried at 105 oC for 48 h and weighed again) and correct the sediment weight obtained in the field. Sediment yields (T/ha) were calculated dividing the corrected sediment weights for each plot and collection date by the plot area. The dataset includes calculated sediment yields per site, plot and collection date. No additional data analysis was conducted at this stage.
Treatments varied between locations:
- Madre del Agua (6 treatments): control (C), 1.5 T/ha pine needle mulch (n1), 5 T/ha pine needle mulch (n2), 8 T/ha wood chips mulch (w1), 12 T/ha wood chips mulch (w2)
- Thompson (3 treatments): low (low), moderate (moderate) and high (high) fire severity.
- Saddleworth (2 treatments): high (HS) and extreme (ES) fire severity.
Silt fences were cleaned out periodically after rain events. The collected sediments were weighed in the field, and a subsample taken to the laboratory to calculate its water content (weighed, oven-dried at 105 oC for 48 h and weighed again) and correct the sediment weight obtained in the field. Sediment yields (T/ha) were calculated dividing the corrected sediment weights for each plot and collection date by the plot area. The dataset includes calculated sediment yields per site, plot and collection date. No additional data analysis was conducted at this stage.
Related
Correspondence/contact details
Authors
https://orcid.org/0000-0002-8754-9236 Other contacts
- Rights holder
-
Swansea University
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
More information about these numbers
View numbers valid from 12 October 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)