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Nitrogen input from residential lawn care practices in suburban watersheds in Baltimore county, MD

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  • Neely Law
  • Lawrence Band
  • Morgan Grove

Abstract

A residential lawn care survey was conducted as part of the Baltimore Ecosystem Study, a Long-term Ecological Research project funded by the National Science Foundation and collaborating agencies, to estimate the nitrogen input to urban watersheds from lawn care practices. The variability in the fertilizer N application rates and the factors affecting the application rates were examined. Results indicated that the annual input of nitrogen from fertilizer is a major component of the urban watershed nitrogen budget and it is both spatially and temporally variable. There is a wide range in the application rate of fertilizer N to residential lawns applied by homeowners and by professional lawn care companies. Survey data estimated a mean fertilizer application rate of 97.6 kg N/ha/yr with a standard deviation of 88.3 kg N/ha/yr. Analyses suggested that the fertilizer application rate is affected by social economic factors and soil characteristics to include the market value of the house, age of development, soil bulk density and soil nitrogen content.

Suggested Citation

  • Neely Law & Lawrence Band & Morgan Grove, 2004. "Nitrogen input from residential lawn care practices in suburban watersheds in Baltimore county, MD," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 47(5), pages 737-755.
    • Handle: RePEc:taf:jenpmg:v:47:y:2004:i:5:p:737-755
    DOI: 10.1080/0964056042000274452
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    Cited by:

    1. Maria Amaya & Faye Duchin & Erich Hester & John C. Little, 2022. "Applying a Coupled Hydrologic-Economic Modeling Framework: Evaluating Alternative Options for Reducing Impacts for Downstream Locations in Response to Upstream Development," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    2. repec:ags:aaea22:335438 is not listed on IDEAS
    3. Mikaela Schmitt-Harsh & Joseph A. Harsh, 2017. "Engaging nonscience majors in urban ecology: Recommendations for course design," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(4), pages 550-561, December.
    4. Elvia J. Meléndez-Ackerman & Christopher J. Nytch & Luis E. Santiago-Acevedo & Julio C. Verdejo-Ortiz & Raúl Santiago-Bartolomei & Luis E. Ramos-Santiago & Tischa A. Muñoz-Erickson, 2016. "Synthesis of Household Yard Area Dynamics in the City of San Juan Using Multi-Scalar Social-Ecological Perspectives," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
    5. Chenhao Zhu & Jonah Susskind & Mario Giampieri & Hazel Backus O’Neil & Alan M. Berger, 2023. "Optimizing Sustainable Suburban Expansion with Autonomous Mobility through a Parametric Design Framework," Land, MDPI, vol. 12(9), pages 1-31, September.
    6. Van Meerbeek, Koenraad & Muys, Bart & Hermy, Martin, 2019. "Lignocellulosic biomass for bioenergy beyond intensive cropland and forests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 139-149.
    7. Daniel A. Potter & Carl T. Redmond & Timothy D. McNamara & Gregg C. Munshaw, 2021. "Dwarf White Clover Supports Pollinators, Augments Nitrogen in Clover–Turfgrass Lawns, and Suppresses Root-Feeding Grubs in Monoculture but Not in Mixed Swards," Sustainability, MDPI, vol. 13(21), pages 1-17, October.

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