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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #325138
Title: Spatially targeted social interventions to improve BMP adoption in Maryland watersheds

Author
item RENKENBERGER, JASON - University Of Maryland
item Moran, Mary
item LEISNHAM, PAUL - University Of Maryland
item CHANSE, VICTORIA - University Of Maryland
item SHIRMOHAMMADI, A. - University Of Maryland
item Sadeghi, Ali
item BRUBAKER, KAYE - University Of Maryland
item ROCKLER, AMANDA - University Of Maryland
item HUTSON, THOMAS - University Of Maryland
item LANSING, DAVID - University Of Maryland

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 5/20/2016
Publication Date: 5/20/2016
Citation: Renkenberger, J., Moran, M.S., Leisnham, P., Chanse, V., Shirmohammadi, A., Sadeghi, A.M., Brubaker, K., Rockler, A., Hutson, T., Lansing, D. 2016. Spatially targeted social interventions to improve BMP adoption in Maryland watersheds. Meeting Abstract. doi: 10.13031/cc.20152122791..

Interpretive Summary:

Technical Abstract: The results of surveys of stakeholders knowledge and attitudes related to water resources, pollution and Best Management Practices (BMPs) are analyzed and used to develop a model of BMP adoption likelihood based on socio-economic factors. The model is integrated into a Diagnostic Decision Support System (DDSS) that diagnoses pollutant export causes and prescribes appropriate BMPs to hot-spots. The BMP adoption likelihood model is applied to the identification of those pollution hot spots where stakeholders are least likely to implement BMPs in three Maryland watersheds. The effectiveness of applying various forms of social intervention to these hot spots is evaluated in terms of the expected improvement in water quality produced by the resulting increases in BMP adoption. Results demonstrate the importance of social factors and interventions for the success of BMP implementation plans in the study watersheds.