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Point Resolution

363 record(s)
 
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    The ACEAS working group has developed a framework to evaluate the extent to which fire regimes are driven by climate and other environmental variables, and whether these fire and environment relationships concord with: (a) predictions of the group of conceptual models recently developed; and (b) predictions of process-based models. The dataset provides a distribution of major fire regimes niches throughout Australia ordered according to decreasing annual net primary productivity. The dataset published is the distribution of major fire regimes niches throughout Australia.

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    The composition of many eastern Australian woodland and forest bird assemblages is controlled by a single, hyper-aggresive native bird, the noisy miner <em>Manorina melanocephala</em>. The "Avifaunal disarry from a single despotic species" working group harnessed diverse existing datasets and used them to develop and test models of noisy miner occupancy and impacts. Two datasets are published based on the analysis and synthesis.

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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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    The dataset catalogue information about research or management projects that have used remote devices to record behavioural, physiological or environmental data from free-ranging animals. The purpose of this dataset is to act as a conduit by which animal telemetry data, ideas, analysis and statistical tools may be shared between interested parties throughout Australasia. The animal telemetry projects collated in this dataset have been collated from peer-reviewed scientific papers published between 2000 and 2013. This represents the first-step in the creation of an Australasian focused database for animal telemetry research and management projects. If you have undertaken a telemetry project and it is not listed here, whether the study findings have been published or not, then please send details about the study to the dataset contact person. If applicable, the details will be incorporated. These data were compiled as part of the ACEAS working group project titled "Advancing the application of animal telemetry data in ecosystem management".

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    Evaluation of the morphological variation within the genus <em>Polyosma</em> (<em>Escalloniaceae</em>) of Australia, New Caledonia and Papuasia based on herbarium specimens to clarify the taxonomy of the recognized species in this genus. These data also identified several previously unpublished species that are new to science.

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    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.

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    This dataset includes volumetric soil water content measured across soil pits in the lowland rainforest of Cape Tribulation. Data were acquired using time-domain reflectometry (TDR) probes recording at soil surface (10 cm) and at depths (50, 100 and 150 cm) at 4 control points - PB1 and PB8 are in the SW quadrant of the crane plot, PB2 and PB5 are in the NW quadrant of the crane plot.

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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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    This terrestrial LiDAR dataset captures detailed vegetation structural information at the Tumbarumba Wet Eucalypt site in NSW, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

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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 /> The Alice Mulga SuperSite was established in 2010 at Pine Hill Cattle Station with research plots located in low open woodland Mulga (<em>Acacia aneura</em>) and non-Acacia, hummock grassland, and river red gum forest. The core 1 ha plot is located in a dense Mulga woodland (cover 70–80%). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-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.