Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Baltimore Stream Restoration: Assessments of Environmental, Willingness to Pay, and Social Suitability
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 11.7 MB | |
| Created: | Mar 11, 2026 at 4:51 p.m. (UTC) | |
| Last updated: | Mar 29, 2026 at 8:32 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
|---|---|
| Views: | 680 |
| Downloads: | 160 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
Reducing nitrogen delivery to coastal waters is a “wicked problem” involving tradeoffs in environmental, economic and social need domains. Because these tradeoffs arise from spatial and temporal complexities in sources and sinks of this element, we hypothesized that a transdisciplinary focus on disproportionality could allow for the identification of “hot” or “sweet” spots where multiple factors converge to create opportunities to control nitrogen flux. We applied this approach to the Baltimore, MD USA region by mapping stream reaches with high nitrogen concentrations, hydrologic conditions amenable to stream restoration, high willingness to pay for restoration projects, and high social need for restoration, and subsequently identifying locations where these factors converge to create sweet spots. Our analysis suggests that sweet spots that optimize environmental, economic, and social need components of sustainability may be rare. The desire to bundle multiple benefits in the budgeting for environmental interventions such as stream restoration may create a sub-optimal distribution of these interventions in a sustainability context.
The repository:
The repository includes data stream-level nitrogen reduction post-stream restoration, willingness to pay (WTP) from households within 1 mile of stream midpoints, and associated census factors within the 1-mi buffer. Estimates of stream nitrogen concentrations from the SPARROW model (https://sparrow.wim.usgs.gov/sparrow-northeast-2012) within our study area are also included. A Jupyter Notebook contains code for processing and generating figures of the study. Check "README.docx" file for details.
Subject Keywords
Coverage
Spatial
Content
Related Resources
| This resource is described by | Rosenberg, A. B., Newburn, D. A., & Towe, C. A. (2022). Household willingness to pay for stream restoration on private and public land: Evidence from the Baltimore metropolitan region. JAWRA Journal of the American Water Resources Association, 59(2), 376–395. https://doi.org/10.1111/1752-1688.13089 |
| This resource is described by | Zhang, R., Newburn, D., Rosenberg, A., Lin, L., Groffman, P., Duncan, J., & Band, L. (2022). Spatial Asynchrony in environmental and economic benefits of stream restoration. Environmental Research Letters, 17(5), 054004. https://doi.org/10.1088/1748-9326/ac61c6 |
| This resource is described by | Shields, C. A., Band, L. E., Law, N., Groffman, P. M., Kaushal, S. S., Savvas, K., Fisher, G. T., & Belt, K. T. (2008). Streamflow distribution of non–point source nitrogen export from urban‐rural catchments in the Chesapeake Bay watershed. Water Resources Research, 44(9). https://doi.org/10.1029/2007wr006360 |
| The content of this resource is derived from | Zhang, R. (2026). Baltimore Stream Restoration: Assessments of Environmental, Willingness to Pay, and Social Suitability, HydroShare, http://www.hydroshare.org/resource/2eb09e65cde84162a9a5fdeb580b7623, accessed on: 03/11/2026 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| U.S. National Science Foundation | Coastal Science, Engineering and Education for Sustainability | EAR-1426819 |
| U.S. National Science Foundation | Long Term Ecological Research | DEB-1855277 |
| U.S. National Science Foundation | Long Term Research in Environmental Biology | DEB-2123318 |
| United States Department of Agriculture | None | None |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Lawrence Band | University of Virginia | Virginia, US | ||
| David A. Newburn | University of Maryland | |||
| J. Morgan Grove | USDA Forest Service | |||
| Andrew Miller | University of Maryland, Baltimore County | |||
| Andrew Rosenberg | USDA Economic Research Service | |||
| Charles Towe | University of Connecticut | |||
| Dexter Locke | USDA Forest Service | |||
| Ruoyu Zhang | University of Virginia | Virginia, US | ||
| Alexander Reisinger | University of Florida | |||
| Jon Duncan | Penn State University | PA, US | ||
| Peter Groffman | City University of New York;Cary Institute of Ecosystem Studies | New York, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment