Nutrient Cycling in Grassed Roadside Ditches and Lawns in a Suburban Watershed
Abstract
Roadside ditches are ubiquitous in developed landscapes. They are designed to route water from roads for safety, with little consideration of water quality or biogeochemical implications in ditch design and minimal data on environmental impacts. We hypothesize that periodic saturation and nutrient influxes may make roadside ditches hotspots for nitrogen (N) removal via denitrification as well as biological production of the greenhouse gases (GHGs) nitrous oxide (N 2 O), methane (CH 4 ), and carbon dioxide (CO 2 ). Research sites included 12 grassed ditches and adjacent lawns with varying fertilization in a suburban watershed in central New York, where lawns represented a reference with similar soils as ditches but differing hydrology. We measured potential denitrification using the denitrification enzyme assay in fall 2014 and GHG fluxes using in situ static chambers between summer 2014 and 2015, including sample events after storms. Potential denitrification in ditches was significantly higher than in lawns, and rates were comparable to those in stream riparian areas, features traditionally viewed as denitrification hotspots. Ditches had higher rates of CH 4 emissions, particularly sites that were wettest. Lawns were hotspots for N 2 O and CO 2 respiratory emissions, which were driven by nutrient availability and fertilizer application. Extrapolating up to the watershed, ditches have the potential to remove substantial N loads via denitrification if managed optimally. Ditch GHG emissions extrapolated across the watershed were minimal given their much smaller area compared with lawns, which were the greater contributor of GHGs. These findings suggest that roadside ditches may offer new management opportunities for mitigating nonpoint source N pollution in residential watersheds. Core Ideas: Greenhouse gases and denitrification were studied in grassed road ditches and lawns. Nitrous oxide emissions were higher in lawns, particularly in fertilized lawns. Ditches were hotspots for CH 4 emissions and potential denitrification. Ditches could be better managed to promote beneficial N removal and minimize GHGs.
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Ditches can mitigate N-loading from both agricultural activity and urban runoff, often at rates comparable to or exceeding those of natural systems.
“Thus, ditches can mitigate N-loading from both agricultural activity 136 and urban runoff, often at rates comparable to or exceeding those of natural systems 141,142 .”
From Lines in the landscape (2025) · cites this paper as [141]
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- Authors
- McPhillips, L. E., Groffman, P. M., Schneider, R. L., & Walter, M. T.
- Affiliations
- Cornell University (US)
- Brooklyn College (US)
- Corresponding author
- McPhillips, Lauren E.
- Venue
- Journal of Environmental Quality
- Publisher
- Wiley
- Published
- 2016-11
- Volume
- 45
- Issue
- 6
- Pages
- 1901-1909
- ISSN
- 0047-2425 (ISSN-L)
- 1537-2537
- OpenAlex
- W2528368288
- Cited by
- 47
- References
- 49
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 5 · 2023: 8 · 2022: 2 · 2021: 6 · 2020: 7 · 2019: 3 · 2018: 7 · 2017: 1
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Environmental Quality (publishedVersion)
- PubMed (publishedVersion)
- Funders
- New York State Water Resources Institute, Cornell University
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Soil and Water Nutrient Dynamics
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Keywords
- roadside ditches, lawns, denitrification, nitrogen removal, greenhouse gas emissions, methane emissions, nitrous oxide emissions, CO2 emissions, denitrification enzyme activity, fertilizer use, suburban watersheds, stormwater runoff, riparian zones
- MeSH terms
- Greenhouse Gases, Poaceae, New York, Soil, Water Movements, Rivers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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