The data set contains information on the soil water content at various depths in the Samford Ecological Research Facility (SERF), Samford Peri-Urban Site. Information on soil water content is provided from two sensors, i.e., 1) Sentek Solo, for high frequency sampling and 2) Sentek Diviner, for coarser resolution sampling.

<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 /> The flux station was established in August 2011 while the site supported tropical savanna. The site was part of a deforestation experiment measuring greenhouse gas exchange during conversion of forest to farmland. The land was being cultivated for watermelon production from 2013.<br /><br />

Fruit phenology and abundance was sampled at the Robson Creek Rainforest site between 2011 - 2017.

This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in Banksia woodland on the Swan Coastal Plain 70km north of Perth, Western Australia using eddy covariance techniques. <br /> <br /> The Gingin site was established in June 2011 by CSIRO and is now managed by Edith Cowan University Centre for Ecosystem Management. The site is a natural woodland of high species diversity. The overstorey is dominated by Banksia spp. mainly B. menziesii, B. attenuata, and B. grandis with a height of around 7m and leaf area index of about 0.8. There are occasional stands of eucalypts and acacia that reach to 10m and have a denser foliage cover. There are many former wetlands dotted around the woodland, most of which were inundated all winter and some had permanent water 30 years ago. The watertable has now fallen below the base of these systems and they are disconnected and are no longer permanently wet. The fine sediments, sometimes diatomaceous, hold water and they have perched watertables each winter. There is a natural progression of species accompanying this process as they gradually become more dominated by more xeric species. The soils are mainly Podosol sands, with low moisture holding capacity. Field capacity typically about 8 to 10%, and in summer these generally hold less than 2% moisture. The water tabl is at about 8.5 m below the surface, and a WA Dept of water long-term monitoring piezometer is near the base of the tower. The instrument mast is 14m tall, with the eddy covariance instruments mounted at 14.8m. Fluxes of carbon dioxide, water vapour and heat are quantified with open-path eddy covariance instrumentation. Ancillary measurements include temperature, air humidity, wind speed and direction, precipitation, incoming and outgoing shortwave radiation, incoming and outgoing long wave radiation, incoming total and diffuse PAR and reflected PAR. Soil water content and temperature are measured at six soil depths. Surface soil heat fluxes are also measured. A COSMOS Cosmic ray soil moisture instrument is installed, along with a logged piezometer, and nested piezometers installed with short screens for groundwater profile sampling. To monitor the watertable gradient, piezometers will be installed 500 m esat and west of the tower. <br/> For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/. <br />This data is also available at http://data.ozflux.org.au .<br />

Water quality parameters of the surface water from two permanent sampling sites on the Samford Creek, southeast Queensland, Australia, are determined. The parameters include water temperature, flow velocity, turbidity, major cations and anions, plus total inorganic and organic nitrogen and phosphorus.

This dataset consists of counts of plants and seeds for the ephemeral desert herb <i>Trachymene glaucifolia</i> obtained from the Ethabuka and Carlo Reserves in the Simpson Desert, Australia, from 2004-2011 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists of monthly rainfall data obtained from 1995-2012. Collectively, the dataset was used to construct Multivariate Auto-regressive State-Space (MARSS) models for the manuscript "Reducing common sources of uncertainty in time series population data using MARSS models". For more information see: DERG : https://www.desertecology.edu.au

This data contains soil physico-chemical characteristics collected at the Daintree Rainforest, Cow Bay site between 2011 - 2014.

This dataset contains maps of woody vegetation extent and woody foliage projective cover (FPC) for New South Wales at 5 metre resolution. <br /><br /> Woody vegetation is a key feature of our landscape and an integral part of our society. We value it because it contributes to the economy, protects the land, provides us with recreation, and gives refuge to the unique and diverse range of fauna that we regard so highly. Yet it poses a significant threat to us in times of fire and storm. So information about trees is vital for a range of business, property planning, monitoring, risk assessment, and conservation activities. <br /><br /> The datasets are: <br /> Woody vegetation extent. A presence/absence map showing areas of trees and shrubs, taller than two metres, that are visible at the resolution of the imagery used in the analysis. This shows the location, extent, and density of foliage cover for stands of woody vegetation, enabling identification of small features such as trees in paddocks and scattered woodlands through to the largest expanses of forest in the State. Woody extent products contain 'bcu' in the file name.<br /><br /> Woody foliage projective cover (FPC). FPC is a measure of the proportion of the ground area covered by foliage (or photosynthetic tissue) held in a vertical plane and is a measure of canopy density. Woody FPC products contain 'bcv' in the file name. <br /><br /> Both mosaics and tiles are available, along with a shape file that identifies the location of the tiles.

Predation by feral cats <i>Felis sylvestris catus</i> is currently one hypothesized cause for the recent dramatic small mammal declines across northern Australia. We conducted a field experiment to measure the effect of predation by for this areas typically low-density cat populations on the demography of a native small mammal which due to the now natural scarce abundance of small mammals in the wild had to be reintroduced. We established two 12.5-ha enclosures in tropical savanna woodland on Wongalara Sanctuary, south of Arnhem Land in the Northern Territory. Each enclosure was divided in half, with cats allowed access to one half but not the other. We introduced about 20 individuals of <i>Rattus villosissimus</i>, a native rodent, into each of the four compartments (two enclosures x two predator-access treatments) and monitored rat demography by mark-recapture analysis and radio-tracking, and predator incursions by camera surveillance and track and scat searches. The data can be used for the mark-recapture analysis. The radio-tracking data and predator incursions data will be uploaded separately. The Cat and Dingoes camera trap dataset was produced using a heat-in-motion cameras (Reconyx PC800 Hyperfire, Holmen, Wisconsin, USA) around the outside of the perimeter fences to detect predators. At least four (but up to six and always the same number of cameras at a time) cameras were placed as one camera installed at each side on the outside of the fences of each enclosure. Cameras were un-baited, to avoid attracting predators. This one file dataset contains the information on the presence/absence data of cats and dingoes on each day. 'Site' indicates the enclosure the camera was attached to ('Enclosure_I' or Enclosure_II'), 'Camera number' indicates which site the camera was on. Note that between October 2011 and April 2012, Enclosure II had two additional cameras (one facing the front gate and one additional monitoring the lower half of the back fence of the enclosure) which resulted in a total of six cameras for during that time. 'Date' indicates the date the photo(s) was/were taken, 'Photos_recorded' whether the camera was operational or photos were retained (e.g. one SD-cards was lost). And columns 'Dingo' and 'Cat' indicate whether these animals were present that day or not (na = no photos recorded, 0 = not present that day, 1 = present that day).

The TREND (PSRF)- Terrestrial Ecosystems project initiated a landscape-scale monitoring transect along the Adelaide Geosyncline region in southern Australia, initially spanning approximately 550 km. The aim was to examine spatial drivers of species composition and to isolate the influence of climate on whole vegetation community composition and therefore inform on-going monitoring of the impact of climate change. Specific questions were: 1. What are the most important spatial drivers of species and phylogenetic composition along landscape-scale environmental gradients? 2. Can the answer to Question 1. inform selection of suitable spatial analogues for climate change? 3. How can a framework for assessing spatial drivers be used to monitor and interpret shifts in species composition due to climate change? The dataset consists of site and species records (see attachments) for plots established along the Adelaide Geosyncline for the TREND project. Data consist of vascular plant species composition (presence-abundance/absence) within 900m² plots plus site data, including aspect and soil properties. Data have been used to analyze changes in composition with geographic and environmental differences and as a baseline for monitoring.