Residential Adoption of Best Landscape Management Practices: Effects of Outreach to Reduce Non-Point Source Pollution

• Published in: Land (Basel) 2023-01, Vol.12 (2), p.382
• Main Authors: Hayden, Lillian, Oki, Lorence R., Haver, Darren, Majcherek, Tamara, Windbiel-Rojas, Karey, Cadenasso, Mary L.
• Format: Article
• Language: English
• Subjects: Adoption; before–after study; Best management practices; Control; Creeks & streams; Dry season; Education; Environmental aspects; Evaluation; Fertilizers; Households; irrigation; Land use; Landscape; Mediterranean climate; Non-point source pollution; Nonpoint source pollution; Pesticides; Point source pollution; Pollution sources; Rain water; Receiving waters; Residential areas; residential land use; Runoff; Storm runoff; Stormwater; Stormwater management; United States; Urban areas; Urban runoff; water quality; Waterways
• ISSN: 2073-445X; 2073-445X
• DOI: 10.3390/land12020382

Urban waterways degradation due to runoff from residential areas can be reduced by adopting best management practices (BMPs) for irrigation, fertilizer, and pesticide use. Although stormwater runoff from urban areas has been studied extensively, we focus on single-family residential land use specifically. Outreach to individual households may have a measurable impact since decisions are being made here. We surveyed households to evaluate the effectiveness of education and outreach campaigns on self-reported use of water and chemicals and evaluated whether self-reported behaviors were reflected in the quality and quantity of water draining from the study areas before and after outreach efforts. Our research was conducted in California, which has a Mediterranean climate with distinct wet and dry periods. Runoff from residential landscapes during the dry season enters waterways undiluted by rainwater, making this runoff particularly detrimental to receiving waters. No significant differences in behavior and BMP adoption from before and after the education and outreach campaign was found. These results are not atypical and may be explained by several factors including the population approach to the survey, lag times between outreach and measurable effects, and the need for a critical threshold of adoption to be met for effects to be measurable.