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Soil water content data from SERF supersite. Samford, Queensland, 2011- 2013

Data Set Citation

Rowlings D of Institute for Future Environments, Queensland University of Technology and Grace P of Institute for Future Environments, Queensland University of Technology. Soil water content data from SERF supersite. Samford, Queensland, 2011- 2013.
vandam.3.9 (http://www.n2o.net.au/knb/metacat/vandam.3.9/html).

Metadata download:
Ecological Metadata Language (EML) File
Data Table
Licence
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Data Set Owner(s):
Individual:
Dr. David Rowlings
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Prinicipal Investigator
Address:
2 George St,
Brisbane,
Queensland 4001
Australia
Phone:
+61 7 3138 9508 (voice)
Email Address:
d.rowlings@qut.edu.au
Individual:
Professor Peter Grace
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Director HEEM
Address:
2 George St,
Brisbane,
Queensland 4001
Australia
Phone:
+61 7 3138 9283 (voice)
Email Address:
pr.grace@qut.edu.au
Associated Party
Individual:
Mr. Jason Wimmer
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Research Associate
Address:
2 George Street,
Brisbane,
Queensland 4001
Australia
Phone:
+61 7 3138 2275 (voice)
Email Address:
j.wimmer@qut.edu.au
Role:
Editor
Individual:
Dr. Martin Labadz
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Researcher
Address:
2 George Street,
Brisbane,
QLD 4000
Australia
Phone:
+61 7 3138 9554 (voice)
Email Address:
m.labadz@qut.edu.au
Role:
Content Provider
Individual:
Ms. Siobhann McCafferty
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Data Librarian
Address:
2 George Street,
Brisbane,
QLD 4001
Australia
Phone:
+61 7 3138 0457 (voice)
Email Address:
siobhann.mccafferty@qut.edu.au
Role:
Custodian/Steward
Individual:
Mr. Marcus Yates
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Site Technician
Address:
QLD
Australia
Email Address:
marcus.yates@qut.edu.au
Role:
Content Provider
Abstract

Since January 2011, soil water use from each vegetation community has been monitored using a combination of high temporal resolution automatic and manually sampled soil moisture probes. Using the high definition LIDAR derived digital elevation model, a number of permanent transects within each community of the SERF property were identified. These transects were orientated towards the slope aspect, allowing flows to be traced down the sub-catchment slopes and into the riparian zones and the creek system. Transects were located to ensure the maximum coverage of the different vegetation community types. Each transect encompassed only a single vegetation community, with the exception of the riparian vegetation which included the lowest monitoring point on several transects to link with stream water data. Each transect contained at least 3 soil water monitoring sites, encompassing the upslope, mid-slope and lower slope areas. High resolution soil moisture data is measured using 19 FDR probes (Sentek Solo, Odyssey GLRL) logged at 30 minute intervals. Each probe contains 4-5 sensors, allowing specified depths/horizons of the soil profile to be continuously monitored. At least one transect per land use consists solely of automated sensors allowing soil water movement down the slope profile to be monitored. The high resolution data is replicated on the remaining transects with soil profiles measured manually on a weekly basis using a portable soil water profiler (Diviner 2000, Sentek).

Keywords
  • Soil water content
  • Vegetation communities
  • Water use efficiency
  • SERF
  • Samford
  • QLD
anzsrc-for
  • 0502
  • 0503
  • 0501
License and Usage Rights

Use with written permission of data owner

Geographic Coverage
Geographic Description:
Samford Ecological Research Facility, Samford, QLD
Bounding Coordinates:
West:  
152.88  degrees
East:  
152.88  degrees
North:  
-27.39  degrees
South:  
-27.39  degrees
Temporal Coverage
Begin:
2011-07-26
End:
2013-12-31
Taxonomic Coverage
Taxon:
Rank NameRank ValueCommon Names
GenusAcacia disparrima
GenusAlectryon tomentose
GenusAlphiltonia excels
GenusAphananthe phillippinensis
GenusBlady Grass
GenusEucalyptus crebra
GenusJagera pseudorhus
GenusKangaroo Grass
GenusLantana camara
GenusLomandra longifolia
GenusLophostemon suaveolens
GenusMelaleuca saligna
Contact(s)
Individual:
Dr. Remke Van Dam
Organization:
Institute for Future Environments, Queensland University of Technology
Position:
Adjunct Associate Professor
Address:
2 George Street,
Brisbane,
Queensand 4001
Australia
Phone:
+61 4 9017 9420 (voice)
Email Address:
remke.vandam@qut.edu.au
Methods Info
Step 1:
Description:
FDR (frequency domain reflectometry) moisture probes were installed across the SEQ Peri-urban supersite (SERF node) at 30 locations in July 2011. Volumetric water contents were recorded from up to 13 depths to a maximum soil depth of 130 cm. A combination of high temporal resolution (30 minutes intervals) and coarser weekly sampling was used to extend the spatial coverage across the research station.For high frequency sampling (Sentek Solo) the depth-wise sensor distribution was determined by the major soil horizon depths at each location with at least one sensor located in each of the A1, A2 and B2 horizons. For coarser resolution sampling (Sentek Diviner), data were collected at 10cm depth intervals.Sensors were calibrated for each soil horizon against gravimetric moisture contents (105°C for 24 hours) at a dry, saturated and intermediate moisture level. All data reported use the same calibration parameters: A = 0.2746; B = 0.3314; C = 0==================Taxonomic Coverage:Lophostemon suaveolens, 80%Corymbia intermedia, 15%Melaleuca saligna, 3%Eucalyptus crebra, 2%Acacia disparrima, 25%Alphiltonia excels, 40%Aphananthe phillippinensis, 10%Jagera pseudorhus, 20%Alectryon tomentose, 5%Blady Grass, 60%Kangaroo Grass, 25%Lomandra longifolia, 10%Lantana camara, 5%
Sampling Area And Frequency:

Data recorded at 1 week intervals from 26/07/2011

Sampling Description:

Using the high definition LIDAR derived digital elevation model, a number of permanent transects within each community of the SERF property were identified. These transects were orientated towards the slope aspect, allowing flows to be traced down the sub-catchment slopes and into the riparian zones and the creek system. Transects were located to ensure the maximum coverage of the different vegetation community types. Each transect encompassed only a single vegetation community, with the exception of the riparian vegetation which included the lowest monitoring point on several transects to link with stream water data. Each transect contained at least 3 soil water monitoring sites, encompassing the upslope, mid-slope and lower slope areas.

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