News
The world’s most valuable micro-meteorological data?
The ARC Centre of Excellence for Climate Extremes has independently analysed Australia’s data on land-atmosphere exchanges of energy, carbon and water collected by TERN and ...
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Virtual desktop supercharges big data analyses
TERN is developing Cloud and Virtual Laboratory infrastructure that’s enabling researchers to work effectively in the current big data era. From ecosystem risk assessments to ...
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Monitoring protocol for mine rehabilitation assessments
The Australian Government has adopted TERN’s standard protocol for field-based environmental monitoring to assess the rehabilitation of the Northern Territory’s Ranger uranium mine following its ...
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Rangelands pasture productivity field data survey
Do you work with pastures or grassland ecosystems? Help establish a national network for rangeland pasture productivity monitoring and modelling by completing this short survey ...
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Australian long-term research forum
Late last month, TERN, the Ecological Society of Australia, and the Ecosystem Science Council hosted a day-long forum to discuss the current state and future ...
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Dust storm forecasting
TERN data are being used to develop new tools to model and predict the occurrence of dust storms so that we can manage associated risks ...
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NEW! TERN-ANU Landscape Data Visualiser
Discover, map and analyse the variety of landscape and ecosystem data provided by TERN and ANU’s Centre for Water and Landscape Dynamics, including satellite observations, ...
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World’s first global vegetation database
An international research team has produced the world’s first global vegetation database. Containing over 1.1 million complete lists of plant species for all terrestrial ecosystems, ...
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TERN at ESA18
With this year’s Ecological Society of Australia conference kicking off at the end of November, it’s high-time to showcase all the TERN related events happening ...
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Harvesting virtual forests
Forests store more carbon than any other above-ground ecosystem on the planet. Just how much, though, is hard to know without cutting them down. Enter ...
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