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Biological


Climate


Climatic Research Unit (CRU) climate data

Global bioclimatic variable spatial layers.

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Worldclim current and future climate data

The Worldclim Collections consists of a set of global climate layers (climate grids) covering all global land areas except Antarctica. They are in the latitude / longitude coordinate reference system (not projected) and the datum is WGS84. The data layers were generated through interpolation of average monthly climate data from weather stations.

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Australia current and future climate data

Australia-wide bioclimatic variable spatial layers. This collection includes a baseline current climate as well as future climate scenarios. In summary, 19 climate surfaces for each of 1297 projections (current + 9 emissions scenarios x 18 GCMs * 8 time points).

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NaRCLIM climate data

A set of 35 bioclimatic variables (20-year average) for NSW, VIC & ACT, calculated according to the WorldClim method

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ACCUclim climate data

Global bioclimatic variable spatial layers.

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Climate Futures Tasmania (CFT) climate data

A set of 19 bioclimatic variables, calculated according to the WorldClim method.

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CliMond climate data

A set of 35 bioclimatic variables, calculated according to the WorldClim method.

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Environmental


Australian Water availability project

Data determines the past history and present state of soil moisture and all water fluxes contributing to changes in soil moisture (rainfall, transpiration, soil evaporation, surface runoff and deep drainage), across the entire Australian continent at a spatial resolution of 5 km.

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National Dynamic Land Cover

The Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia. It is the result of a collaboration between Geoscience Australia and the Australian Bureau of Agriculture and Resource Economics and Sciences, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent. The dataset comprises digital files of the land cover classification, three trend datasets showing the change in behaviour of land cover across Australia for the period 2000 to 2008.

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National Soil Grids Australia

This data collection is underpinned by a collation of the best available nationally consistent soils data and information. Five soil variables have been produced as gridded/raster surfaces (250m) across continental Australia.

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Global PET and Aridity

High-resolution global raster climate data related to evapo-transpiration processes and rainfall deficit for potential vegetative growth. The Global-PET and Global-Aridity are both modeled using the data available from WorldClim Global Climate Data (http://WorldClim.org).

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National Scale Vegetation Assets, States and Transitions

The Vegetation Assets, States and Transitions (VAST) classification orders vegetation by degree of anthropogenic modification as a series of classes, from a residual or benchmark condition through to total removal. VAST is being developed to explicitly link land management and vegetation condition, to provide a mechanism to describe the effects of land management on vegetation condition and to contribute to the analysis of ecosystems services provided by vegetation.

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Multi-resolution Ridge Top Flatness

A topographic index designed to identify high flat areas at a range of scales

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Multi-resolution Valley Bottom Flatness

A topographic index designed to identify areas of deposited material at a range of scales based on the observations that valley bottoms are low and flat relative to their surroundings and that large valley bottoms are flatter than smaller ones. Zero values indicate erosional terrain with values 1 and larger indicating progressively larger areas of deposition.

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Fraction of Photosynthetically Active Radiation (fPAR)

Continental monthly time series MODIS-fPAR for April 2000 to April 2012 derived from NASA MODIS satellite imagery (MOD13Q1). fPAR is defined as the Fraction of photosynthetically active radiation (fPAR) intercepted by the sunlit vegetation canopy and is a measure of vegetation greenness. The fPAR time series data enables variation in primary productivity over time to be observed and analysed. fPAR can be used as components in landscape-scale ecosystem models and analyses of biomass production, carbon storage, habitat quality and disturbance regimes.

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Gross Primary Product

Gross Primary Productivity (GPP) is an annual rate of carbon uptake by photosynthesis. Continental yearly time series of GPP from 2000 to 2007, derived from NASA MODIS satellite imagery (MOD13Q1). MODIS NDVI products have been atmospherically corrected for water, clouds, heavy aerosols & cloud shadows. MODIS data undergo a quality assurance process where pixels are ranked according to their overall quality.

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