2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

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6/05/2017  |   2:30 PM - 2:45 PM   |  Participatory design, simulation and analysis of urban green infrastructure to promote ecosystem services   |  302A

Participatory design, simulation and analysis of urban green infrastructure to promote ecosystem services

Representation of watersheds as a fully connected, heterogeneous landscape ecological system is critical to assessing multi-scale dynamic response to climate, land use and built infrastructure. Human management of ecosystem heterogeneity through vegetation management, drainage, irrigation, fertilization, and stormwater controls modulate spatial and temporal ecosystem behavior, with feedbacks between hydrologic extremes, rates of carbon sequestration, biomass accumulation and nutrient retention. We develop and demonstrate a set of design, simulation and analysis tools that can be used seamlessly across unmanaged to urban landscapes to investigate both short to long term impacts of hydroclimate variability, land cover and infrastructure on coupled water, carbon and nutrient cycling in the Coweeta and Baltimore LTER sites. We further adapt these methods to promote participatory design of development and management approaches to promote ecosystem service goals, including the implementation of green infrastructure. The development of cloud based design tools to guide ecohydrologic simulation, facilitating participants to rapidly pose and test landscape management options, including forest management and urban green infrastructure will be demonstrated.

  • S07 Conducting freshwater science with open-source, inexpensive technologies
  • C08 Urban Ecology
  • S02 Urban streams, aquatic ecology, and stormwater engineering: How do we encourage integration, opportunities and collaboration in an era of green infrastructure innovation?

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Presenters/Authors

Lawrence Band (), University of Virginia, leb3t@virginia.edu;


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Lorne Leonard (), Penn State University, lorne.leonard.psu@gmail.com;


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Laurence Lin (), University of North Carolina at Chapel Hill, hrlauren@email.unc.edu;


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Jon Duncan (), University of North Carolina at Chapel Hill, jmduncan@unc.edu;


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