<p>Field measurements were made on the 5^th September 2000 along a 90 m long transect for a section of mangroves located between the beach and main road just north of Cape Tribulation (Queensland).</p> <p>The transect was 90 m long and 10 m wide. The start and end points for the transect were measured using a hand-held GPS. Since tree cover reduced the GPS signal at the start and end points, GPS measurements were taken near the start and end points of the transect using the GPS (where the canopy was more open), then a distance and bearing made to the end points. For trees within the transect area having a circumference at breast height (CBH) greater than 15 cm, their location, CBH and an estimate of height were measured. Only the location was recorded for trees having a CBH below 15 cm (equivalent to a diameter at breast height (DBH) < 5cm). Tree height was measured <em>ad libitum</em> with a hand-held laser system. Mangrove species was also recorded when known.</p>

<br>The Brigalow Catchment Study (BCS) in the brigalow (<em>Acacia harpophylla</em>) bioregion of central Queensland, commenced in 1965 with a pre-clearing calibration phase of 17 years to define the hydrology of 3 adjoining catchments (12-17&nbsp;ha). Following clearing of 2 catchments in 1982, 3 land uses, brigalow forest, cropping, and grazed pasture, were established and monitored for water balance, resource condition and productivity. This trial has provided data and scientific understanding on the interaction of climate, soils, water, land use and management for resource condition across the three major land uses. Soil samples from the trial site have been used in calibration of the Roth C model for use in estimating Australia’s national greenhouse gas inventory.</br>

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>

This dataset is modelled national pasture productivity. It describes the dynamics in grassland/pasture Gross Primary Production (GPP), Net Primary Production (NPP) and Carbon mass. GPP indicates total rate of carbon fixed through photosynthesis, in units gC/m2/day. It is the GPP of grasses only and so describes the production of grasslands and pastures. GPP is estimated separately for C3 and for C3 grasses using the Diffuse model (Donohue et al. 2014, see publication links). NPP is the net rate of carbon fixed through photosynthesis (GPP minus plant respiration) for grasses, in units of gC/m2/day. Grass carbon mass is the above-ground mass of grasslands and pastures, estimated using the CSP model. These are estimated using the unpublished CSP model (v2) for both live and senesced mass in units t/ha. Biomass is typically approximated as double the carbon mass. Inputs include MODIS MOD13Q1, minimum and maximum air temperature, elevation data and rainfall as described in the lineage section.

This is a series comprises of vegetation condition predictions for biodiversity for the bioregions of Queensland. The datasets were created using a gradient boosting decision tree (GBDT) model based on 10 vegetation-specific remote sensing (RS) datasets and 7,938 training sites of known vegetation community and condition state across Southeast Queensland, Brigalow Belt and Central Queensland Coast bioregions. Condition score was modelled as a function of distance in the remote sensing (RS) space within homogeneous vegetation communities. The product is intended to represent predicted BioCondition for 2021 rather than any singe date. This series includes information relating the version 2.0 products of Spatial BioCondition, which have superseded the version 1.0 products (https://portal.tern.org.au/metadata/TERN/40990eec-5cef-41fe-976b-18286419da0c, https://portal.tern.org.au/metadata/TERN/2c33325c-1dd5-4674-918a-1cd5bfc1a6e3). Spatial BioCondition is not suitable for the measurement of changes in condition over time, and direct comparisons of predictions between versions 1.0 and 2.0 are not advised.

This dataset contains Unmanned Aircraft System (UAS) multispectral, pansharpened and long-wave infrared (LWIR) orthomosaics of the Samford Ecological Research Facility (SERF), Queensland University of Technology. SERF is located in the Samford Valley, west of Brisbane, Australia and is the usual place for flight testing and evaluation of new equipment. The QUT's Research Engineering Facility team operated DJI Matrice 300RTK (M300) with latest MicaSense Altum-PT (5-band multispectral sensor, LWIR, panchromatic channels and downlight sensor). The images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station and also georectified with 5 ground control points collected by Emlid Reach RS GNSS receivers. In the processing workflow in Agisoft Metashape, the multispectral orthomosaics were orthorectified and pan-sharpened. Dense point clouds were used to generate multispectral (GSD 3.4 cm/px), panchromatic and multispectral pansharpened (GSD 1.6 cm/pixel) and LWIR (GSD 21 cm/pixel) orthomosaics.

<br>Hermitage Research Station (28&deg; 12’ S, 152&deg; 06’ E) situated near Warwick, is the site of a 33 year study of carbon cycling, storage and emissions in a southern Queensland winter cereal system. Mean annual temperature at the site is 17.5&deg;C and mean annual rainfall is 685&nbsp;mm. The soil is a Vertosol containing 65% clay, 24% silt, and 11% sand. Treatments at the trial included stubble burnt (SB), stubble retained (SR), conventional tillage (CT), no tillage (NT), nitrogen fertiliser added (NF) and no nitrogen fertiliser added (N0). It has provided guidance to farmers on optimising nitrogen use efficiency through fine tuning rates to meet crop need, e.g. delivering nitrogen when it is needed by the crop possibly using split applications and coated fertilisers with slower nutrient release profiles. Sourcing nitrogen from pulse crop and pasture was also studied as an option for meeting nitrogen needs with lower emissions and reduced cost.</br>

<p>This dataset contains audio files for Calperum Mallee SuperSite. The site was established in 2010 and is located on Calperum Station, near Renmark, in South Australia. The property was a pastoral grazing lease for nearly 150 years, and suffered grazing-induced modifications to its ecosystems that are now being actively restored following removal of sheep in 1994. The area includes mallee woodlands and riverine vegetation. A significant amount of the mallee woodlands was burnt in January 2014. The mallee species are multi-stemmed eucalyptus trees (<em>Eucalyptus dumosa</em>, <em>E. incrassata</em>, <em>E. oleosa</em> and <em>E. socialis</em>) while the sparsely distributed mid-storey species come from <em>Eremophila</em>, <em>Hakea</em>, <em>Olearia</em>, <em>Senna</em> and <em>Melaleuca</em> genera. The spaced understory is predominately clumps of spiny grass (<em>Triodia spp.</em>). For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite">Daintree Rainforest 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>

<p>Fixed cameras installed at the Warra Tall Eucalypt SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products. </p> <p>Images are captured hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on a regular basis. </p><p> The Warra Tall Eucalypt SuperSite was established in 2012 and is located in a stand of tall, mixed-aged <em>Eucalyptus obliqua</em> forest (1.5, 125 and &gt;250 years-old) with a rainforest / wet sclerophyll understorey and a dense man-fern (<em>Dicksonia antarctica</em>) ground-layer. The site experienced a fire in January 2019, which consumed the ground layer and killed a high proportion of the understorey trees but stimulated dense seedling regeneration. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/warra-tall-eucalypt-supersite/. </p><p>Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora. </p>

The datafile contains the composition and abundance of airborne pollen in Kaikohe, New Zealand. The data was collected for the period between November 1988 to February 1989 as part of a nationwide survey of airborne pollen. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas”).