This data contains stem diameter, height measurement and above ground living and dead woody biomass calculations for a remnant Eucalyptus Wandoo woodland from 2018 - present. Diameter and height measurements for stems were sampled within the core 1 ha plot within the Boyagin Wandoo Woodlands site.

This data contains a list of all vascular plants surveyed in the Boyagin Wandoo Woodlands site in 2018.

The dataset accompanies the paper by Zemunik et al. (2015), which used the Jurien Bay dune chronosequence to investigate the changes in the community-wide suite of plant nutrient-acquisition strategies in response to long-term soil development. The study was located in the Southwest Australian biodiversity hotspot, in an area with an extremely rich regional flora. The dataset consists of both flora and soil data that not only allow all analyses presented in the paper (Zemunik et al. 2015) to be independently investigated, but also would allow further exploration of the data not considered or presented in the study. The study used a randomised stratified design, stratifying the dune system of the chronosequence into six stages, the first three spanning the Holocene (to ~6.5 ka) and oldest spanning soil development from the Early to Middle Pleistocene (to ~2 Ma). Floristic surveys were conducted in 60 permanent 10 m × 10 m plots (10 plots in each of six chronosequence stages). Each plot was surveyed at least once between August 2011 and March 2012, and September 2012. To estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Surface (0-20 cm) soil from each of the 420 subplots was collected, air dried and analysed at the Smithsonian Tropical Research Institute in Panama, for a range of chemical and physical properties, the main ones of which were considered in this paper being total and resin soil phosphorus, total nitrogen and dissolved organic nitrogen, soil total and organic carbon, and pH (measured in H20 and CaCl2). However, other soil data are also presented in the dataset. Nutrient-acquisition strategies were determined from the literature, where known, and from mycorrhizal analyses of root samples from species with poorly known strategies. Most of the currently known nutrient-acqusition strategies were found in the species of the chronosequence. Previous studies in the Jurien Bay chronosequence have established that its soil development conforms to models of long-term soil development first presented by Walker and Syers (1976); the youngest soils are N-limiting and the oldest are P-limiting (Laliberté et al. 2012). However, filtering of the regional flora by high soil pH on the youngest soils has the strongest effect on local plant species diversity (Laliberté et al. 2014). <br></br> References: [1] Zemunik, G., Turner, B., Lambers, H. et al. Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants 1, 15050 (2015). https://doi.org/10.1038/nplants.2015.50 ; [2] T.W. Walker, J.K. Syers. The fate of phosphorus during pedogenesis Geoderma, 15 (1) (1976), pp. 1-19, 10.1016/0016-7061(76)90066-5 ; [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & Lambers, H. (2012); [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.-H., Zemunik, G. and Lambers, H. (2012), Experimental assessment of nutrient limitation along a 2-million-year dune chronosequence in the south-western Australia biodiversity hotspot. Journal of Ecology, 100: 631-642. https://doi.org/10.1111/j.1365-2745.2012.01962.; [4] Laliberté E, Zemunik G, Turner BL. Environmental filtering explains variation in plant diversity along resource gradients. Science. 2014 Sep 26;345(6204):1602-5. doi: 10.1126/science.1256330.

This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer from bare earth using eddy covariance techniques.<br /><br /> This is a topographically flat area, primarily comprised of the following soil types: sandy loams, scattered clays, red brown earths, transitional red brown earth, sands over clay and deep sands. Stream valleys and layered soil and sedimentary materials are found across the landscape. <br /><br /> The flux station tower extends to 20m, however flux measurements are recorded from slightly lower than this. Mean annual precipitation from a nearby Bureau of Meteorology site measured 465 mm. Maximum temperatures ranged from 37.4°C (in January) to 16.6°C (in July), while minimum temperatures ranged from 29.0°C (in January) to 11.8°C (in July). Maximum temperatures varied on a seasonal basis by approximately 20.8°C and minimum temperatures by 17.2°C. <br /> The site is within a wider research area (60 x 60 km) that supports a network of flux stations, which have been in operation since late 2001 onwards.<br /><br /> This data is also available at http://data.ozflux.org.au .

<p>This dataset contains audio files for Boyagin Wandoo Woodland SuperSite. The site was established in 2017 at the Boyagin Nature Reserve with research plots located in Wandoo woodland (<em>Eucalypt sp.</em>). The core 1&nbsp;ha plot is located in dense eucalypt woodland. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/">Boyagin Wandoo Woodland SuperSite</a></p> <p>In 2019 four acoustic recorders were set up to collect audio data continuously as part of the Australian Acoustic Observatory (A2O) project. Two recorders were placed in relatively wet habitats and two in relatively dry habitats.</p>

This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.0) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The flux station is located within an area of dryland agriculture. The surrounding area is dominated by broadacre farming practices. The vegetation cover is predominantly pasture. Elevation of the site is close to 330 m. Climate information comes from the nearby Pingelly BoM AWS station 010626 (1991 to 2016) and shows mean annual precipitation is approximately 445 mm with highest rainfall in June and July of 81 mm each month. Maximumum and minuimum annual rainfall is 775 and 217 mm, respectively. Maximum temperatures range from 31.9°C (in Jan) to 15.4°C (in July), while minimum temperatures range from 5.5°C (in July) to 16.0 °C (in Feb).<br /><br />

This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.3) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /><br /> This is a topographically flat area, primarily comprised of the following soil types: sandy loams, scattered clays, red brown earths, transitional red brown earth, sands over clay and deep sands. Stream valleys and layered soil and sedimentary materials are found across the landscape. <br /><br /> The flux station tower extends to 20m, however flux measurements are recorded from slightly lower than this. Mean annual precipitation from a nearby Bureau of Meteorology site measured 465 mm. Maximum temperatures ranged from 37.4°C (in January) to 16.6°C (in July), while minimum temperatures ranged from 29.0°C (in January) to 11.8°C (in July). Maximum temperatures varied on a seasonal basis by approximately 20.8°C and minimum temperatures by 17.2°C. <br /> The site is within a wider research area (60 x 60 km) that supports a network of flux stations, which have been in operation since late 2001 onwards.<br /><br />

Soil collection and analysis of chemical and physical attributes was carried out at the Whroo Dry Eucalypt site to provide contextual data for the Biomes of Australian Soil Environments (BASE) soil microbial diversity project.

This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.3) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The flux station was established in 2017 in Wandoo Woodland, which is surrounded by broadacre farming. About 80% of the overstorey cover is <em>Eucalyptus accedens</em> Climate information comes from the nearby Pingelly BoM AWS station 010626 (1991 to 2016) and shows mean annual precipitation is approximately 445 mm with highest rainfall in June and July of 81 mm each month. Maximumum and minuimum annual rainfall is 775 and 217 mm, respectively. Maximum temperatures range from 31.9°C (in Jan) to 15.4°C (in July), while minimum temperatures range from 5.5°C (in July) to 16.0 °C (in Feb). The Noongar people are the traditional owners at Boyagin. <br />For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ . <br /><br />

High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the Whroo Dry Eucalypt SuperSite using the panoramic photopoint method. The panoramic photopoint method may be the most informative in open forests/woodlands and rangelands. Three photopoints are established configured in an equilateral triangle (2.5m sides) with the centre marked with a star dropper and the location recorded with DGPS. At each photopoint take photographic sequences in a 360° panorama, with up to 40 photographs with a minimum 50% overlap between consecutive photographs. For more information about the method, see <a href= 'http://dx.doi.org/10.13140/2.1.4287.3607'>White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9.</a> <br> The site was established in 2010 in box woodland dominated by <em>Eucalyptus microcarpa</em> (grey box) and <em>eucalyptus leucoxylon</em> (yellow gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/. <br /><br /> Other images collected at the site include digital hemispherical photography, phenocam time-lapse images taken from fixed overstorey cameras, five-photopoint images, and ancilliary images of fauna and flora.