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2011

34 record(s)
 
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    The dataset provides information on the Specific Leaf Area (SLA) measurements of the species <i>Dodonaea viscosa</i> from the TERN AusPlots.

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    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).

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    This dataset consists of images of fauna, flora, fungi or general scenery or events captured at the site on an ad-hoc basis and may provide the researcher with information regarding the species that occupy, frequent or traverse this site.<br /> <br /> The Calperum Mallee SuperSite was established in 2011 and is located on Calperum Station with research plots located in mallee woodland (burnt in 2014), Callitris woodland and a river floodplain (recovering from extensive grazing), consisting of black box, river red gum and lignum. The core 1 ha plot is located in mallee woodland. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite/ . <br /> Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, panoramic landscape and photopoint images. <br /><br /> <iframe src="https://maps.google.com/maps?layer=c&amp;panoid=VNc5-dZcKkoAAAGuqlmVHw&amp;ie=UTF8&amp;source=embed&amp;output=svembed&amp;cbp=13%2C208.3252%2C%2C0%2C0" title="Photosphere view of the mallee at Calperum SuperSite (photo J. Armston 2014)" style="height:248px;width:462px;"></iframe> <br />Photosphere view of the mallee at Calperum SuperSite (photo J. Armston 2014)<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>The site is classified as box woodland, dominated by two main eucalypt species: <em>Eucalyptus microcarpa</em> (grey box) and <em>Eucalyptus leucoxylon</em> (yellow gum). The site has an elevation of 165&nbsp;m. Mean annual precipitation measured by the nearby Bureau of Meteorology site is 558&nbsp;mm. Maximum temperatures range from 12.6&nbsp;°C (in July) to 29.8&nbsp;°C (in January), while minimum temperatures range from 3.2&nbsp;°C (in July) to 14.2&nbsp;°C (in February). Maximum temperatures vary on a seasonal basis by approximately 17.2&nbsp;°C and minimum temperatures by 11.0&nbsp;°C.</br> <br>The instrument mast is 36&nbsp;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.</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 /> 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 />

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

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    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

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    This dataset contains radio-tracking information on the long-haired rats (<i>Rattus villosissimus</i>). Data was collected between October 2011 and December 2012. It contains the data from enclosure in which a radio-collared rat was released and tracked (Enclosure = 1 or 2), the treatment (Cats = yes or no), the exact date (Date) for when a rat was released with a collar (collared_released), the last time it was recorded (last-time-rec), the time period in months over which the collar frequency was detected (time-collar-detected), the fate of the animal (Fate = unknown, dead or alive), the last location change detected (last_loc_change), based on the latter, the estimated time a rat was assumed alive (estimated_time_alive), the last time a signal was detected from the collar (last_signal detected), the date of the last time an animal was trapped (last_trapped), whether dead remains were found (dead_remains_found = na, yes, or no) and whether the collar was found (collar_found = na, yes, or no).

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    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.

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    The record is on the bird capture data from the Robson Creek Site in 2011. Data set contains information related to the bird capture details such as, the Australian Bird & Bat Banding Scheme (ABBBS) band number, field species identification, the Royal Australasian Ornithologists Union (RAOU) Species Number, age and sex of the bird. There are details of morphometric measurements such as weight, bill length, tarsus length, wing length, wing moult and tail moult. In addition information on re-capture, breeding status and blood collection details have been recorded.