<p>Quantifying the impact of climate change on actual and potential evapotranspiration (AET and PET) is essential for water security, agriculture production and environmental management. AET and PET are strongly influenced by local factors such as topography, land cover and soil moisture, which limits the usability of global climate models for their projections. Here, we dynamically downscale Coupled Model Intercomparison Project Phase 6 (CMIP6) models using Conformal Cubic Atmospheric Model (CCAM) to a 10km resolution over Australia and derive AET and PET at a daily time step using the Morton method and project future changes under SSP126, 245 and 370. Three AET / PET datasets are provided by Queensland Government Climate Projection Service team, which include Areal AET, Wet Environment Areal PET and Point PET. These datasets are computed offline based on Morton&rsquo;s Complementary Relationship Areal Evapotranspiration (CRAE) model.</p> <p>In addition, we also provide datasets for Pan Evaporation (linear regression model), Short and Tall Crop Reference Evapotranspiration (Penman&ndash;Monteith model) and Shallow Lake Evaporation (Morton&rsquo;s Complementary Relationship Wet-surface Evaporation CRWE model). They have used dynamically downscaled CMIP6 models datasets as input.</p>

This dataset presents the demographic monitoring (growth and survival) of 81 tree species based on repeated stem measurement data from 20, 0.5 ha (100 m x 50 m) permanent moist forest plots in northern Queensland, Australia from 1971 to 2019, as well as four additional plots of 0.1 to 1 ha whose monitoring began in the 2000s. The plots have a rainfall range of 1200 to over 6000 mm, represent eleven vegetation types, six parent materials, and range from 15 m to 1500 m above sea level. Except for minor disturbances associated with selective logging on two plots, the plots were established in old growth forest and all plots have thereafter been protected. Plots were regularly censused and at each census the diameter at breast height (DBH) of all stems ≥10 cm DBH were recorded. We only report the data for the 81 species studied in Bauman et al. 2022 (Nature), here. We also provide the climatology of these plots as well as the temperature, vapour pressure deficit, and maximum climatological water deficit of all intervals separating consecutive censuses, as used in the analyses of Bauman et al. 2022.