Photosynthesis
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The dataset contains maps of total % C<sub>3</sub> and C<sub>4</sub> plant cover, proportional C<sub>3</sub> and C<sub>4</sub> vegetation (relative to combined C<sub>3</sub> and C<sub>4</sub> cover), and vegetation δ<sup>13</sup>C isoscape (stable carbon isotope values) across Australia. Data are centered on year 2015. We used vegetation and land-use rasters to categorize grid-cells (100 m<sup>2</sup>) into woody (C<sub>3</sub>), native herbaceous (C<sub>3</sub> and C<sub>4</sub>), and herbaceous cropland (C<sub>3</sub> and C<sub>4</sub>) cover. TERN Ecosystem Surveillance field surveys and environmental factors were regressed to predict native C<sub>4</sub> herbaceous cover. These layers were combined and a δ<sup>13</sup>C mixing model was used to calculate site-averaged δ<sup>13</sup>C values.
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Calperum Mallee site, in 2013.
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Warra Tall Eucalypt site, in summer 2012 and winter 2013.
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Great Western Woodlands site in 2013.
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Cumberland Plain site in 2014.
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Daintree Rainforest, Cape Tribulation site, in the dry season 2012 and wet season 2014.
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Alice Mulga site in 2014
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This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Robson Creek Rainforest site, in the dry season 2012 and wet season 2014.
TERN Geospatial Catalogue