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Disproportionality as a Framework to Target Pollution Reduction from Urban Landscapes

Keywords: Lawn , turf , disproportionality , hydrologic model , TMDL , MS4 , urban stormwater , phosphorus , nitrogen , specificity , Theory of Planned Behavior , Theory of Reasoned Action

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Abstract:

New federal water quality regulations regarding impaired waters and urban stormwater, alongside a growing need to reverse eutrophication of urban lakes, are creating demand to decrease nutrient export from urban landscapes, particularly lawns. We propose that Nowak et al.’s (2006) disproportionality framework could be used to target specific households likely to generate disproportionate levels of nutrient export. The biophysical dimension would be based on landscape vulnerability (slope, soil type, proximity to lakes); the social dimension would target “inappropriate” lawn management behaviors leading to high nutrient export on these vulnerable landscapes. Understanding of lawn nutrient cycling (biophysical dimension) and homeowner beliefs and attitudes (social dimension) would be used to develop targeted, specific messages for homeowners practicing inappropriate management. A lawn management program developed with this disproportionality framework would probably be very effective, highly economical and fair, targeting only homeowners who are creating a disproportionate impact.

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