rainfall amount
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This dataset consists of counts for multiple plant species obtained from the Ethabuka Station and Carlo Reserve in the Simpson Desert, Australia, from 2004-2013 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists rainfall data obtained from 2004-2012. These datasets were used to perform a Dynamic Factor Analyses for the manuscript, "Life form explains consistent temporal trends across species: the application of dynamic factor analysis". For more information see: DERG; https://www.desertecology.edu.au.
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The record contains information on rainfall data recorded between 1995-2011 from 17 rain gauges across the Calperum Mallee Site, Calperum Station, South Australia. Data on mean monthly and annual rainfall and standard deviation is provided for each site, along with annual rainfall totals.
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<br>Hermitage Research Station (28° 12’ S, 152° 06’ E) situated near Warwick, is the site of a 33 year study of carbon cycling, storage and emissions in a southern Queensland winter cereal system. Mean annual temperature at the site is 17.5°C and mean annual rainfall is 685 mm. The soil is a Vertosol containing 65% clay, 24% silt, and 11% sand. Treatments at the trial included stubble burnt (SB), stubble retained (SR), conventional tillage (CT), no tillage (NT), nitrogen fertiliser added (NF) and no nitrogen fertiliser added (N0). It has provided guidance to farmers on optimising nitrogen use efficiency through fine tuning rates to meet crop need, e.g. delivering nitrogen when it is needed by the crop possibly using split applications and coated fertilisers with slower nutrient release profiles. Sourcing nitrogen from pulse crop and pasture was also studied as an option for meeting nitrogen needs with lower emissions and reduced cost.</br>
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This dataset consists of counts of plants and seeds for the ephemeral desert herb <i>Trachymene glaucifolia</i> obtained from the Ethabuka and Carlo Reserves in the Simpson Desert, Australia, from 2004-2011 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists of monthly rainfall data obtained from 1995-2012. Collectively, the dataset was used to construct Multivariate Auto-regressive State-Space (MARSS) models for the manuscript "Reducing common sources of uncertainty in time series population data using MARSS models". For more information see: DERG : https://www.desertecology.edu.au
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Data on weather conditions at the Daintree Rainforest, Cape Tribulation site collected between 2006 - 2014. Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.
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Data on weather conditions at the Warra Tall Eucalypt site collected between 2004 - 2012. Data includes daily maximum and minimum temperatures, wind speed, wind direction, rainfall and humidity.
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Data on weather conditions at the Daintree Rainforest, Cow Bay site collected between 2008 - 2014. Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.
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Data on weather conditions at the Great Western Woodlands site collected between 2012 - 2016. Data includes half-hourly records of radiation and net radiation at 3 m (2012) and 36 m (2013 - 2016), mean wind speed and wind direction at 3 m (2012) and 36 m (2013 - 2016), air temperature and relative humidity at 3 m (2012) and 36 m (2013 - 2016), atmospheric pressure at 3 m (2012) and 36 m (2013 - 2016), ground heat flux at -8cm, and rainfall at 0.5m
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Data on weather conditions at the Robson Creek Rainforest site collected between 2010 - 2014. Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.
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This data set is a compilation of biomass sampling of 15,054 individual measurements of 274 tree and shrub species across 826 sites in the Australian mainland, reported in 94 studies between 1950 and 2015. Various methods were used across sites, but all involved destructive harvests of individual trees or shrubs and measuring the fresh weight of above-ground biomass. Sub-sampling was used to determine moisture content, after which dry weight of the above-ground biomass was calculated. See publication for details: "Keryn I. Paul, John Larmour, Alison Specht, Ayalsew Zerihun, Peter Ritson, Stephen H. Roxburgh, Stan Sochacki, Tom Lewis, Craig V.M. Barton, Jacqueline R. England, Michael Battaglia, Anthony O'Grady, Elizabeth Pinkard, Grahame Applegate, Justin Jonson, Kim Brooksbank, Rob Sudmeyer, Dan Wildy, Kelvin D. Montagu, Matt Bradford, Don Butler, Trevor Hobbs, Testing the generality of below-ground biomass allometry across plant functional types, Forest Ecology and Management. 432: 102-114. https://doi.org/10.1016/j.foreco.2018.08.043. Paul, K.I., Larmour, J., Specht, A., Zerihun, A., Ritson, P., Roxburgh, S.H., Sochacki, S., Lewis, T., Barton, C.V.M., England, J.R., Battaglia, M., O’Grady, A., Pinkard, E., Applegate, G., Jonson, J., Brooksbank, K., Sudmeyer, R., Wildy, D., Montagu, K.D., Bradford, M., Butler, D., Hobbs, T., 2019. Testing the generality of below-ground biomass allometry across plant functional types. Forest Ecology and Management 432, 102–114. https://doi.org/10.1016/j.foreco.2018.08.043