public read uid=datalibrarian,o=unaffiliated,dc=ecoinformatics,dc=org all Dr. David Rowlings Institute for Future Environments, Queensland University of Technology Prinicipal Investigator

2 George St Brisbane Queensland 4001 Australia

+61 7 3138 9508 d.rowlings@qut.edu.au Professor Peter Grace Institute for Future Environments, Queensland University of Technology Director HEEM

2 George St Brisbane Queensland 4001 Australia

+61 7 3138 9283 pr.grace@qut.edu.au Mr. Jason Wimmer Institute for Future Environments, Queensland University of Technology Research Associate

2 George Street Brisbane Queensland 4001 Australia

+61 7 3138 2275 j.wimmer@qut.edu.au Editor Dr. Martin Labadz Institute for Future Environments, Queensland University of Technology Researcher

2 George Street Brisbane QLD 4000 Australia

+61 7 3138 9554 m.labadz@qut.edu.au Content Provider Ms. Siobhann McCafferty Institute for Future Environments, Queensland University of Technology Data Librarian

2 George Street Brisbane QLD 4001 Australia

+61 7 3138 0457 siobhann.mccafferty@qut.edu.au Custodian/Steward Mr. Marcus Yates Institute for Future Environments, Queensland University of Technology Site Technician

QLD Australia

marcus.yates@qut.edu.au Content Provider 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). Soil water content Vegetation communities Water use efficiency SERF Samford QLD 0502 0503 0501 anzsrc-for Use with written permission of data owner 2011-07-26 2013-12-31 Genus Acacia disparrima Genus Alectryon tomentose Genus Alphiltonia excels Genus Aphananthe phillippinensis Genus Blady Grass Genus Eucalyptus crebra Genus Jagera pseudorhus Genus Kangaroo Grass Genus Lantana camara Genus Lomandra longifolia Genus Lophostemon suaveolens Genus Melaleuca saligna Samford Ecological Research Facility, Samford, Queensland 152.88 152.88 -27.39 -27.39 Dr. Remke Van Dam Institute for Future Environments, Queensland University of Technology Adjunct Associate Professor

2 George Street Brisbane Queensand 4001 Australia

+61 4 9017 9420 remke.vandam@qut.edu.au

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%

Data recorded at 1 week intervals from 26/07/2011 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. Site_4.csv Site_4.csv 9839 1 #x0A column , ecogrid://knb/vandam.4.1 Date and Time Day / Month / Year - Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm soil water cubicCentimetersPerCubicCentimeters natural 20cm 20cm water content cubicCentimetersPerCubicCentimeters natural 30cm 30cm water content cubicCentimetersPerCubicCentimeters natural 40cm 40cm water content cubicCentimetersPerCubicCentimeters natural 50cm 50cm water content cubicCentimetersPerCubicCentimeters natural 60cm 60 cubicCentimetersPerCubicCentimeters natural 70cm 70cm water content cubicCentimetersPerCubicCentimeters natural 80cm 80cm water content cubicCentimetersPerCubicCentimeters natural 104 Site_5.csv Site_5.csv 7042 1 #x0A column , ecogrid://knb/vandam.5.1 Date and Time Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm water content cubicCentimetersPerCubicCentimeters natural 20cm 20cm water content cubicCentimetersPerCubicCentimeters natural 30cm 30cm water content cubicCentimetersPerCubicCentimeters natural 40cm 40cm water content cubicCentimetersPerCubicCentimeters natural 50cm 50cm water content cubicCentimetersPerCubicCentimeters natural 60cm 60cm water content cubicCentimetersPerCubicCentimeters natural 94 Site_6.csv Site_6.csv 10035 1 #x0A column , ecogrid://knb/vandam.6.1 Date and Time Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm water content cubicCentimetersPerCubicCentimeters natural 20cm 20cm water content cubicCentimetersPerCubicCentimeters natural 30cm 30cm water content cubicCentimetersPerCubicCentimeters natural 40cm 40cm water content cubicCentimetersPerCubicCentimeters natural 50cm 50cm water content cubicCentimetersPerCubicCentimeters natural 60cm 60cm water content cubicCentimetersPerCubicCentimeters natural 70cm 70cm water content cubicCentimetersPerCubicCentimeters natural 80cm 80cm water content cubicCentimetersPerCubicCentimeters natural 107 Site_12.csv Site_12.csv 10548 1 #x0A column , ecogrid://knb/vandam.7.1 Date and Time Day / Month / Year – Time 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11682 1 #x0A column , ecogrid://knb/vandam.15.1 Date and Time Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm water content cubicCentimetersPerCubicCentimeters natural 20cm 20cm water content cubicCentimetersPerCubicCentimeters natural 30cm 30cm water content cubicCentimetersPerCubicCentimeters natural 40cm 40cm water content cubicCentimetersPerCubicCentimeters natural 50cm 50cm water content cubicCentimetersPerCubicCentimeters natural 60cm 60cm water content cubicCentimetersPerCubicCentimeters natural 70cm 70cm water content cubicCentimetersPerCubicCentimeters natural 80cm 80cm water content cubicCentimetersPerCubicCentimeters natural 90cm 90cm water content cubicCentimetersPerCubicCentimeters natural 100cm 100cm water content cubicCentimetersPerCubicCentimeters natural 102 Site_35.csv Site_35.csv 13185 1 #x0A column , ecogrid://knb/vandam.16.1 Date and Time Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm water content cubicCentimetersPerCubicCentimeters 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60cm 60cm water content cubicCentimetersPerCubicCentimeters natural 70cm 70cm water content cubicCentimetersPerCubicCentimeters natural 80cm 80cm water content cubicCentimetersPerCubicCentimeters natural 90cm 90cm water content cubicCentimetersPerCubicCentimeters natural 100cm 100cm water content cubicCentimetersPerCubicCentimeters natural 110cm 110cm water content cubicCentimetersPerCubicCentimeters natural 120cm 120cm water content cubicCentimetersPerCubicCentimeters natural 73 Site_70.csv Site_70.csv 8439 1 #x0A column , ecogrid://knb/vandam.21.1 Date and Time Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm water content cubicCentimetersPerCubicCentimeters natural 20cm 20cm water content cubicCentimetersPerCubicCentimeters natural 30cm 30cm water content cubicCentimetersPerCubicCentimeters natural 40cm 40cm water content cubicCentimetersPerCubicCentimeters natural 50cm 50cm water content cubicCentimetersPerCubicCentimeters natural 60cm 60cm water content cubicCentimetersPerCubicCentimeters natural 70cm 70cm water content cubicCentimetersPerCubicCentimeters natural 80cm 80cm water content cubicCentimetersPerCubicCentimeters natural 90cm 90cm water content cubicCentimetersPerCubicCentimeters natural 100cm 100cm water content cubicCentimetersPerCubicCentimeters natural 74 Site_82.csv Site_82.csv 9200 1 #x0A column , ecogrid://knb/vandam.22.1 Date and Time Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 10cm 10cm water content cubicCentimetersPerCubicCentimeters natural 20cm 20cm water content cubicCentimetersPerCubicCentimeters natural 30cm 30cm water content cubicCentimetersPerCubicCentimeters natural 40cm 40cm water content cubicCentimetersPerCubicCentimeters natural 50cm 50cm water content cubicCentimetersPerCubicCentimeters natural 60cm 60cm water content cubicCentimetersPerCubicCentimeters natural 70cm 70cm water content cubicCentimetersPerCubicCentimeters natural 80cm 80cm water content cubicCentimetersPerCubicCentimeters natural 90cm 90cm water content cubicCentimetersPerCubicCentimeters natural 100cm 100cm water content cubicCentimetersPerCubicCentimeters natural 110cm 110cm water content cubicCentimetersPerCubicCentimeters natural 73 Site_details.csv Site_details.csv 1371 1 #x0A column , ecogrid://knb/vandam.23.1 Site number Site number as defined in the SERF database Site numbers Sensor type Sensor type Sensor type Sensor depths Range of sensor depths Sensor depths start date Start of measurements: Day / Month / Year – Time of Day DD/MM/YYYY hh:mm 0 X_UTM Location X_UTM UTM location value Y_UTM Location Y_UTM UTM location value Notes Notes Notes 19