A Methodology to Estimate the Future Extent of Dryland Salinity in the Southwest of Western Australia

被引:23
作者
Caccetta, Peter [1 ]
Dunne, Robert [1 ]
George, Richard [2 ]
McFarlane, Don [3 ]
机构
[1] CSIRO Math & Informat Sci, Floreat, WA, Australia
[2] Dep Agr & Food, Bunbury, WA, Australia
[3] CSIRO Land & Water, Floreat, WA, Australia
关键词
D O I
10.2134/jeq2009.0037
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the Southwestern agricultural region of Western Australia, the clearing of the original perennial vegetation for annual vegetation-based dryland agriculture has lead to rising saline groundwater levels. This has had effects such as reduced productivity of agricultural land, death of native vegetation, reduced stream water quality and infrastructure damage. These effects have been observed at many locations within the 18 million ha of cleared land. This has lead to efforts to quantify in a spatially explicit way, the historical and likely future extent of the area affected, with the view to informing management decisions. This study was conducted to determine whether the likely future extent of the area affected by dryland salinity could be estimated by means of developing spatially explicit maps for use in management and planning. We derived catchment-related variables from digital elevation models and perennial vegetation presence/absence maps. We then used these variables to predict the salinity hazard extent by applying a combination of decision tree classification and morphological image processing algorithms. Sufficient objective data such as groundwater depth, its rate of rise, and its concentration of dissolved salts were generally riot available, so we used regional expert opinion (derived from the limited existing studies on salinity hazard extent) as training and validation data. We obtained an 87% agreement in the salinity hazard extent estimated by this method compared with the validation data, and conclude that the maps are sufficient for planning. We estimate that the salinity hazard extent is 29.7% of the agricultural land.
引用
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页码:26 / 34
页数:9
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