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  • Baltimore Ecosystem Study: Lawn productivity 2006-2007
  • Jenkins, Jennifer; University of Vermont
    Groffman, Peter M; City University of New York
    Sonti, Nancy F; USDA Forest Service
  • 2021-09-23
  • Jenkins, J., P.M. Groffman, and N.F. Sonti. 2021. Baltimore Ecosystem Study: Lawn productivity 2006-2007 ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

  • Urban grasslands cover large land areas in human-dominated landscapes, but little is known about how these landscapes cycle carbon (C). In this study, we examine turfgrass biomass and productivity at thirty-three urban grassland sites within the Gwynns Fall watershed (Baltimore, MD). These sites are characteristic of residential conditions in the region and were selected to provide contrasts in urban ecosystem structure (density of coarse vegetation and built structures) as well as historical (pre-development) land use. Aboveground net primary productivity (ANPP) was measured as the sum of clipping production plus stubble, thatch, and moss production. This work provides context for understanding the impact of urban expansion on regional ecosystem C dynamics and identifies specific needs related to standardized methods for measuring turfgrass ANPP in urban grassland systems.

  • Geographic Coordinates
    • N: 39.722, S: 39.19, E: -76.33, W: -76.93
    • N: 39.373, S: 39.196, E: -76.528, W: -76.712
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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