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NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using ECHAM5 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
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NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 1990-2009 period using MIROC3.2 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
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NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CCCMA3.1 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
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The record contains information on the annual fire history of 33 one-hectare plots in Karawatha Forest Park, Karawatha Peri-Urban Site, South-East Queensland. The plots are at 500 m intervals in a grid that covers the entire Park. Each plot follows the elevational contour and is 250 m long x 40 m wide. The data presented is on fire event history for each plot for the years 2000 to 20006, time since fire in each plot and the average frequency of fires in each plot per year.
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The datafile contains the composition and abundance of airborne pollen in Kaikohe, New Zealand. The data was collected for the period between November 1988 to February 1989 as part of a nationwide survey of airborne pollen. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas”).
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<p>This dataset contains audio files for Daintree Rainforest SuperSite, Cape Tribulation. The site is located at the Daintree Rainforest Observatory in lowland complex mesophyll vine forest near Cape Tribulation. The site has more than 80 species including canopy trees belonging to the <em>Arecaceae, Euphorbiaceae, Rutaceae, Meliaceae, Myristicaceae</em> and <em>Icacinaceae</em> families. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/daintree-rainforest-supersite">Daintree Rainforest SuperSite</a></p> <p>In 2012 an acoustic recorder was set up to collect audio data for a total of 12 hours per day, split between six hours around dawn and six hours around dusk. The recording schedule aimed at capturing morning and evening bird choruses while minimizing memory and battery requirements. A long-term spectrogram has been generated for each audio file to aid in data exploration. The sensor also recorded temperature, minimum- maximum- and mean-sound pressure levels.</p> <p>Acoustic indices and false colour spectrograms were created for the recordings. Acoustic indices are summaries of the distribution of the acoustic energy in a recording. They are particularly useful for the analysis of long-term recordings of the environment and can be used to identify sound sources of interest, characterise the soundscape, aid in the assessment of fauna biodiversity, monitor temporal trends and track environmental changes. False colour spectrograms are visual representation of individual acoustic indices or combination of multiple indices. They can highlight the presence of specific sound sources, e.g. birds, insects or weather events, providing a tool for navigating long-term recordings.</p> <p>Data are made available through the data link. For downloading large amount of data, please follow these instructions <a href="https://ternaus.atlassian.net/wiki/spaces/TERNSup/pages/2530148353/How+to+download+TERN+s+acoustic+data+in+bulk">How to download TERN's acoustic data in bulk</a></p>
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NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using MIROC3.2 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
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NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~50km resolution for 2020-2039 period using CSIRO-MK3.0 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
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This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product at https://portal.tern.org.au/metadata/TERN/169dbb12-846f-4536-9dab-e31378d16b41. Two fractional cover decile products, green cover and total cover, are currently produced from the historical timeseries of seasonal fractional cover images. These products compare, at the per-pixel level, the level of cover for the specific season of interest against the long term cover for that same season. For each pixel, all cover values for the relevant seasons within a baseline period (1988 to 2013) are classified into deciles. The cover value for the pixel in the season of interest is then classified according to the decile in which it falls.
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<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 the Cumberland State Forest, Old Abandoned Arboretum site, NSW, Australia. </br><br> Pre-European reference-analogue vegetation: The Cumberland State Forest is part of the Blue Gum High Forest (Daniel Connolly pers comm). It is a tall wet sclerophyll forest found on Wianamatta group Ashfield Shale. Blue Gum High Forest is dominated by Sydney blue gum (<em>Eucalyptus saligna</em>), blackbutt (<em>E. pilularis</em>), and turpentine (<em>Syncarpia glomulifera</em>) with a number of other eucalypts occurring patchily. A sparse open cover of small trees includes a variety of sclerophyllous and mesophyllous species. The ground layer is variable in composition and cover; including ferny, grassy or herbaceous and/or vines and climbers. The characteristics of the ground cover are related to the topgraphic position. </br><br> Brief chronology of changes in land use and management:<ul style="list-style-type: disc;"> <li>1788- Area managed by indigenous Darug people</li> <li>1788-1824: Region explored, un-modified native forest blue gum/ironbark on shale</li> <li>1825: Parcel selected by Mr Shepherd</li> <li>1860: Tree cover likely to have been thinned - selective logging for fences and housing</li> <li>1826-1907: Grazing stock on native pastures</li> <li>1908: Land parcel cleared and sown to improved pasture, and evidence of chicken farm and fruit orchards</li> <li>1909-1937: Managed as improved pasture and grazing</li> <li>1937-38: Purchased by NSW Forestry Commission</li> <li>1941-42: Remaining native forest trees cleared to establish an arboretum</li> <li>1943-45: Arboretum planted as a future urban working forest</li> <li>1946-73: Arboretum managed for education and demonstration - infilling regrowth native forest observed</li> <li>1974-84: Arboretum increasing managed for recreation - infilling regrowth native forest observed</li> <li>1985-2012: Area managed for recreation (ex-arboretum and regrowth native forest).</li></ul></br>
TERN Geospatial Catalogue