BGS Data Catalogue
Datasets produced by Multiscale Impacts of Cyanobacterial Crusts on Landscape Stability (1/6) (NERC grant NE/K011464/1)
Data from laboratory experiments conducted as part of project NE/K011464/1 (associated with NE/K011626/1) Multiscale Impacts of Cyanobacterial Crusts on Landscape stability. Soils were collected from two sites in eastern Australia and transferred to a laboratory at Griffith University, Queensland for conduct of experiments. Soils were A, a sandy loam, and B a loamy fine sand. Trays 120 mm x 1200 mm x 50 mm were filled with untreated soil that contained a natural population of biota. Soils were either used immediately for experiments (physical soil crust only: PC) or were placed in a greenhouse and spray irrigated until a cyanobacterial crust has grown from the natural biota. Growth was for a period of 5 days (SS), c.30 days (MS2) or c.60 days (MS1). Following the growing period (if applicable) trays were placed in a temperature/humidity controlled room at 35° and 30% humidity until soil moisture (measured 5 mm below the surface) was 5%. Trays were then subject to rainfall simulation. Rainfall intensity of 60 mm hr-1 was used and rainfall was applied for 2 minutes (achieving 2 mm application), 8 minutes (achieving 8 mm application) or 15 minutes (achieving 15 mm application). Following rainfall, trays were returned to the temperature/humidity-controlled room under UV lighting until soil moisture at 5 mm below the surface was 5%. A wind tunnel was then placed on top of each tray in turn and a sequential series of wind velocities (5, 7, 8.5, 10, 12 m s-1) applied each for one minute duration. On each tray the five wind velocities were run without saltation providing a cumulative dust flux. For the highest wind speed, an additional simulation run was conducted with the injection of saltation sands. Three replicates of each rainfall treatment were made. Variables measured include photographs, spectral reflectance, surface roughness, fluorescence, penetrometry, chlorophyll content, extracellular polysaccharide content, Carbon, Nitrogen and splash erosion and particle-size analysis (of wind eroded material). Details of rainfall simulator, growth of cyanobacteria, laser soil surface roughness characterisation and wind tunnel design and deployment in Strong et al., 2016; Bullard et al. 2018, 2019. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018a. Impact of multi-day rainfall events on surface roughness and physical crusting of very fine soils. Geoderma, 313, 181-192. doi: 10.1016/j.geoderma.2017.10.038. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018b. Effects of cyanobacterial soil crusts on surface roughness and splash erosion. Journal of Geophysical Research – Biogeosciences. doi: 10.1029/2018. Strong, C.S., Leys, J.F., Raupach, M.R., Bullard, J.E., Aubault, H.A., Butler, H.J., McTainsh, G.H. 2016. Development and testing of a micro wind tunnel for on-site wind erosion simulations. Environmental Fluid Mechanics, 16, 1065-1083.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2019-04-08
University of Loughborough
-Professor Joanna Bullard
(Department of Geography
)Loughborough
,LE11 3TU
,University of Loughborough
-Professor Joanna Bullard
(Department of Geography
)Loughborough
,LE11 3TU
,- Maintenance and update frequency
- notApplicable
- GEMET - INSPIRE themes
- BGS Thesaurus of Geosciences
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Bacteria
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Wind erosion
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Rainfall
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Soils
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- Keywords
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NERC_DDC
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- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Other constraints
- The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.
- Use constraints
- otherRestrictions
- Other constraints
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The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
- Other constraints
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Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
- Topic category
-
- Geoscientific information
- Begin date
- 2014-03-17
- End date
- 2019-04-07
Spatial Reference System
Distribution Information
- Data format
-
- Resource Locator
- https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item126992
- Resource Locator
- https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item126992
- Quality Scope
- nonGeographicDataset
- Other
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non geographic dataset
Report
- Dataset Reference Date ()
- 2011
- Explanation
-
See the referenced specification
- Degree
Report
- Dataset Reference Date ()
- 2010-12-08
- Explanation
-
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
- Degree
- Statement
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Soil A is a sandy loam, soil B is a loamy fine sand and the biota of both soils is dominated by cyanobacteria (28%) (detailed in Bullard et al. 2018b). Biological soil crusts were grown in a greenhouse for 5, 30 or 60 days and spray irrigated with filtered water (equiv. 2 mm rainfall per day). Rainfall was simulated using the Griffith University Mobile Rainfall simulator detailed in Bullard et al. 2018a. Soil surface topography was determined using a Micro-Epsilon ScanCONTROL 2900-100 laser profiler, scanner height was 24 cm above the soil surface and used to scan an area of 100 x 100 mm at a resolution of 0.078 mm (detailed in Bullard et al. 2018a). The trays were proportioned to fit exactly beneath the Micro Wind Tunnel with perimeter seals to avoid air leakage. Details of the wind tunnel development and testing are in Strong et al. 2016.
Metadata
- File identifier
- 8641a222-9a38-11b7-e054-002128a47908 XML
- Metadata Language
- English (en)
- Resource type
- nonGeographicDataset
- Hierarchy level name
-
non geographic dataset
- Metadata Date
- 2023-05-11
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
British Geological Survey
Environmental Science Centre,Keyworth
,NOTTINGHAM
,NOTTINGHAMSHIRE
,NG12 5GG
,United Kingdom
