Economics of Australian Soil Conditions 1996/97 – Impact Cost of Salinity 2000 – 2020 ($/ha/yr)

Impact Cost of Salinity 2000 a 2020 ($/ha/yr) dataset is one of 11 national surfaces, represented by ~1km grids, relating to economic opportunities associated with soil condition. All dollar values are given in 1996/97 Australian dollars. There are three sub-types of data in this dataset: relative yields, gross benefits and impact costs. Each is described as follows:1. Relative yield (RY): This is the yield of the crop or pasture, relative to its full potential expressed as a percentage. It is equal to actual yield divided by potential yield. The relative yield surfaces, measured as a ratio (0 to 1) and represented with a 1km grid, include: * ry_salt2000; ry_salt2020: The relative yield of salinity in the year 2000 and 2020 ry_Acid; ry_Esp: The relative yield from soil acidity and soil sodicity ry_min: The limiting factor relative yield a minimum of ry_salt2000, ry_acid, ry_esp and ry_min. lim_fact:Factor most limiting yield a of acidity, sodicity and salinity 2. Gross benefit (GB): The gross benefit is the additional profit at full equity attainable through agricultural production if the yield- limiting factor of salinity, acidity or sodicity were repaired without cost. As such it can be considered an approximate investment ceiling on treating the soil. The gross benefit grids are measured in $/ha/yr and include: gb97a; gb97e; gb97s a for soil acidity; sodicity; salinity* gb97m a the combined limiting factor gross benefit. 3. Impact cost (ic97s): This is the decline in agricultural profit at full equity due to worsening dryland salinity severity and extent over the time period 2000 to 2020. It is measured in $/ha/yr. It is determined only through changes in crop yield as a consequence of changes in dryland salinity. Impact cost can be considered the loss in profit at full equity due to worsening salinity over the 20yr time period. Keywords: Economics, Natural Resources, Australia, Salinity, Sodicity, Acidity, Soil TreatmentData is in albers and unprojected, using WGS84 and GDA94.

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