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 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 This series includes information relating the version 2.0 products of Spatial BioCondition, which have superseded the version 1.0 products (https://portal.tern.org.au/metadata/TERN/40990eec-5cef-41fe-976b-18286419da0c,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.

<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>

<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>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>

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 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.

High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints will be taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the center of the plot facing each corner. <br /><br /> The 25 hectare site was established in 2009 and lies on the Atherton Tablelands in the wet tropical rainforests of Australia at 680-740 m elevation. It is situated in Danbulla National Park within the Wet Tropics World Heritage Area. The forest is classified as Regional Ecosystem (RE) 7.3.36a, complex mesophyll vine forest (Queensland Government 2006). The climate is seasonal with approximately 60% of rain falling between January and March and the landform is moderately inclined with a low relief. There are 208 species in the site, and average canopy height is 28 m, ranging from 23 to 44 m. All stems ≥ 10 cm diameter are measured, tagged and mapped. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/robson-creek-rainforest-supersite/. <br /><br /> Other bioimages collected at the site include digital hemispherical photography, phenocam images taken from fixed under and overstorey cameras and ancillary images of fauna and flora.

<p>Digital Cover Photography (DCP) upward-looking images are collected up to three times per year to capture vegetation cover at Samford Peri-Urban SuperSite. These images can be used to estimate Leaf Area Index (LAI), Crown Cover or Foliage Projective Cover (FPC). </p><p> The Samford Peri-Urban SuperSite was established in 2010 in remnant fringe eucalypt forest, near urban development in the Samford Valley. The upper storey is dominated by <em>Corymbia intermedia</em>, <em>Eucalyptus siderophloia</em> and <em>Lophostemon suaveolens</em>. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/samford-peri-urban-supersite/ . </p><p> Other images collected at the site include photopoints, phenocam time-lapse images taken from fixed overstorey cameras, panoramic landscape and ancillary images of fauna and flora.</p>

<br>The aim of this project is to compile land use and management practices and their observed and measured impacts and effects on vegetation condition. The results provide land managers and researchers with a tool for reporting and monitoring spatial and temporal transformations of Australia’s native vegetated landscapes due to changes in land use and management practices. Following are the details about Goorooyarroo Nature Reserve Site 3. </br><br> Pre-European benchmark-analogue vegetation: The site was originally woodlands on the deeper soils of the lower slopes and flats (<em>Eucalyptus blakelyi</em> and <em>Eucalyptus melliodora</em>) (McIntyre et al., 2010). </br><br> Brief chronology of changes in land use and management:<ul style="list-style-type: disc;"> <li>1819: Area managed by indigenous Ngunnawal people</li> <li>1826: Sheep grazing with shepherds commenced</li> <li>1860: Fences constructed - continuous stocking with sheep commenced in large paddocks</li> <li>1920-1925: Large old and dead trees felled for firewood for Canberra market</li> <li>1961: 50 acre paddock fenced as a future lambing paddock</li> <li>1962-1965: Remaining trees ringbarked, left to stand to dry out and sold as firewood</li> <li>1966-1978: Paddock converted to improved pasture. Repeated resown and fertilized</li> <li>1979-2004: Holding paddock for lambing ewes</li> <li>1994: Mulligans Flat Nature Reserve established</li> <li>2004: Continuous stocking with sheep grazing ceased</li> <li>2005: Kangaroo proof fence erected</li> <li>2008: Kangaroo population begins to rapidly increase</li> <li>2008: Commenced annual removal of pest species of plants and animals</li> <li>2009: Introduced large logs to the site from off the Reserve</li> <li>2010: Commenced annual kangaroo cull.</li></ul></br>