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The project brought together a group of Australian researchers and managers with a broad range of expertise to identify current and emerging economies (‘drivers’) affecting regional agricultural landscapes and to suggest beneficial transformational changes for successful adaptation. A key challenge in these landscapes is altering how we use the land for ongoing, viable production while increasing native biodiversity. The group:<ul style="list-style-type: disc;"> <li>identified the major historical influences on Australian land use and the current social and economic drivers that are likely to increase in the future</li> <li>assessed the condition of five agro-climatic regions (adapted from Williams et al., 2002 and Hobbs and McIntyre, 2005) using a Delphi method. A small (4-person) expert panel scored the impact of historical and future scenarios on ten sustainability indicators (biodiversity, water, soil, social capital, built capital, food/fibre, carbon, energy, minerals and cultural). Five regions were chosen: Southern Mediterranean, Northern tropical, Central arid, North-east subtropical, and South-east temperate. This was an iterative process whereby scores were revisited until internal consistency between regions, scenarios, and indicators was achieved</li> <li>made projections of regional condition under the four global Representative Concentration Pathways (RCPs) based on van Vuuren et al. (2011)</li> <li>developed recommendations about land use and management, institutional and policy arrangements and social processes that will assist adaptation towards a values-rich vision of Australia in 2100.</li></ul>
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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 />
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<br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.7) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).</br> <br><em>Eucalyptus obliqua</em> forests dominate the vegetation below 650 m where they exist as fire-maintained communities. On fertile soils these forests attain mature heights in excess of 55 m: the tallest <em>E. obliqua</em> reaches a height of 90 m. The flux station is installed in a stand of tall, mixed-aged <em>E. obliqua</em> forest (77 and >250 years-old) with a rainforest understorey and a dense man-fern (<em>Dicksonia antarctica</em>) ground-layer, on a small flat of elevation 100 m adjacent to the Huon River. The understorey vegetation progresses from wet sclerophyll (dominated by <em>Pomaderris apatala</em> and <em>Acacia dealbata</em>) to rainforest (dominated by <em>Nothofagus cunninghamii</em>, <em>Atherosperma moschatum</em>, <em>Eucryphia lucida</em> and <em>Phyllocladus aspleniifolius</em>) with increasing time intervals between fire events. The site supports prodigous quantities of coarse woody debris as is characteristic of these fire-maintained eucalypt forests on fertile sites in southern Tasmania. The soil at the flux site is derived from Permian mudstone and has a gradational profile with a dark brown organic clayey silt topsoil overlying a yellow brown clay. The climate is classified as temperate with a mild summer and no dry season. Mean annual precipitation is 1700 mm with a relatively uniform seasonal distribution. Summer temperatures peak in January (8.4 °C to 19.2 °C) with winter temperatures reaching their lowest in July (2.6 °C to 8.4 °C).</br> <br>The instruments are mounted at the top of an 80 m tall guyed steel lattice tower. Supplementary measurements above the canopy include temperature, humidity, windspeed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation. An open-path gas analyser (EC150) was replaced by a closed-path gas analyser (EC155) at the end of January 2015. Soil moisture content is measured using time domain reflectometry. Soil heat fluxes and temperature are also measured. Micro-meteorology (CO<sub>2</sub>, H<sub>2</sub>O, energy fluxes) and meteorology (temperature, humidity, wind speed and direction, rainfall) were measured from 2013 to late 2016, but the dataset is incomplete due to ongoing problems since changing the open-path IRGA to a closed path system (CPEC200) during 2015. Soil data (moisture, heat flux, temperature) are complete for the time period.</br>
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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 site is woodland savanna with an overstory co-dominated by tree species <em>E. tetrodonta</em>, <em>C. latifolia</em>, <em>Terminalia grandiflora</em>, <em>Sorghum sp.</em> and <em>Heteropogon triticeus</em>. Average canopy height measures 16.4 m. <br />Elevation of the site is close to 110m and mean annual precipitation at a nearby Bureau of Meteorology site is 1170mm. Maximum temperatures range from 37.5°C (in October) to 31.2°C (in June), while minimum temperatures range from 12.6°C (in July) to 23.8°C (in January). Maximum temperatures range seasonally by 6.3°C and minimum temperatures by 11.2°C. <br /><br />The instrument mast is 23 meters tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy.<br />Ancillary measurements taken at the site include LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, N and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the transect in September 2008. <br /><br />
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<br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.5.0) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).</br> <br>The Collie flux station was located approximately 10 km southeast of Collie, near Perth, Western Australia. It was established in August 2017 and stopped measuring in November 2019. </br>
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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 site is classified as an open woodland savanna. The overstory is co-dominated by tree species <em>Eucalyptus miniata</em> and <em>Eucalyptus tentrodonata</em>, and average tree height is 14–16m. Elevation of the site is close to 64m and mean annual precipitation is 1750mm. Maximum temperatures range from 30.4°C (in July) to 33.2°C (in November), while minimum temperatures range from 19.3°C (in July) to 25.4°C (in November). Therefore, the maximum and minimum range varies from 7°C (wet season) to 11°C (dry season). <br /><br /> The instrument mast is 23m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.<br /><br />
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<p>This data set consists of .tif files of true colour orthomosaics for expansive areas of mangroves in Kakadu National Park in Australia's Northern Territory.</p> <p>The orthomosaics were generated from 68 stereo pairs of true colour aerial photographs acquired in 1991 in the lower reaches of the East Alligator, West Alligator, South Alligator and Wildman Rivers and Field Island, Kakadu National Park, Northern Australia (Mitchell et al., 2007). The photographs were taken at a flying height of 13,000 ft (3,960 m) using a Wild CR10, a standard photogrammetric camera with a frame size of 230 x 230 mm. The focal length was 152 mm. The photographs were scanned by Airesearch (Darwin) with a photogrammetric scanner to generate digital images with a pixel resolution between 12 and 15 mm. The orthomosaics have a spatial resolution of 1 m, cover an area of approximately 742 km<sup>2</sup> and a coastal distance of 86 km. </p> <p>These orthomosaics were co-registered using ground control points identified from 1:100,000 digital topographic maps with a Universal Transverse Mercator (UTM), and subsequently co-registered to LiDAR data acquired over the same region in 2011.</p>
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<br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.5.0) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).</br><br> The site is situated within a wetland that flooded seasonally. The principal vegetation is <em>Oryza rufipogon</em>, <em>Pseudoraphis spinescens</em> and <em>Eleocharis dulcis</em>. The elevation is approximately 4 m, with a neighbouring Bureau of Meteorology station recording 1411 mm mean annual precipitation. Maximum temperatures range from 31.3 °C (in June and July) to 35.6 °C (in October), while minimum temperatures range from 14.9 °C (in July) to 23.9 °C (in December and February). Maximum temperatures vary on a seasonal basis by approximately 4.3 °C and minimum temperatures by 9.0 °C.<br /><br /> The instrument mast is 15 m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry. Ancillary measurements being taken at the site include LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, nitrogen and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne-based remote sensing (Lidar and hyperspectral measurements) was carried out across the site in September 2008.
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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 /> Located in a 5 square kilometre block of relatively uniform open-forest savanna, the site is representative of high rainfall, frequently burnt tropical savanna. <br /><br />Tropical savanna in Australia occupies 1.9 million square km across the north and given the extent of this biome, understanding biogeochemical cycles, impacts of fire on sequestration, vegetation and fauna is a national priority. In the NT, savanna ecosystems are largely intact in terms of tree cover, with only modest levels of land use change. Despite this, there is evidence of a loss of biodiversity, most likely due to shifts in fire regimes and a loss of patchiness in the landscape. Approximately 40% of the savanna burn every year and understanding fire impacts on fauna and flora is essential for effective land management. <br /><br />
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In 1963, the Glen Canyon Dam, in Hite Utah was completed, creating the Lake Powell reservoir along the Colorado River. The water levels of Lake Powell peaked in 1983 and have declined since, releasing over-pressure on the underlying sediment. This release in over-pressure created mud volcanoes, structures along the shoreline made of cavities that allow fluid and gases to rise to the surface and escape. Green house gases including methane are released from these structures, and to better understand how development of natural wetlands can result in unintended increased levels of greenhouse gas emissions, we asked 1) how much of each gas is generated or and whether the amount of each gas is changing through time and 2) how are these gases forming in the subsurface? We first measured the amounts of carbon dioxide (CO2), methane (CH4), and air (N) in volcano gas samples collected in 2014, 2015, and 2016. We found that from 2014 through 2016, methane levels from these volcanoes fluctuated significantly. In 2016, we looked at the amounts of carbon and hydrogen isotopes in the methane, which told us the gas is generated from microorganisms feeding on organic matter and is released during water-level fluctuations. We looked at mud volcanoes only located along the Lake Powell marina delta in Hite, Utah. The data spans geological structures restricted to one marina delta.
TERN Geospatial Catalogue