Doing the Hard Work Where it’s Easiest? Examining the Relationships Between Urban Greening Programs and Social and Ecological Characteristics
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In this paper we examine the performance of formal programs associated with tree plantings in Washington, D.C. and Baltimore, MD to understand the relationships between the implementation of urban greening programs and the social and ecological characteristics of a city. Previous research has examined variations in patterns of existing and possible tree canopy cover relative to different social theories. Less attention has been paid to the processes of how the current patterns of tree canopy cover have developed. The goal of this paper is to address this gap by examining current programs to increase tree canopy. This paper utilizes public records, administrative data, a geodemographic market segmentation database, and high-resolution land cover data to assess where programs work, who participates in these programs, and whom the programs fail to reach. Recruiting households to plant trees can be hard work. In this paper, we find that programs might be most successful where it is easiest but have the lowest need. Free or reduced-cost programs for tree planting on private lands were most effective in the most affluent neighborhoods of Washington, D.C. and Baltimore, MD. These areas tended to also have the most existing tree canopy on both private residential lands and the public right of way. An outcome of this research is a framework for further testing which land management strategies are most effective, where, and with whom in order to improve the ability to plan and enhance urban sustainability and resilience through urban forestry.
KeywordsAdoption Urban sustainability Tree canopy Geodemographics Baltimore, MD Washington, D.C
Most of this work was completed while working for the USDA Forest Service Northern Research Station, Baltimore Field Station. Support for this research was provided by National Science Foundation Baltimore Ecosystem Study Long Term Ecological Research site (DEB-0423476), and Washington D.C./Baltimore Urban Long Term Research-Exploratory (DEB-0948947) grants, as well as the Libby Fund Enhancement Award and the Marion I. Wright ‘46 Travel Grant from Clark University, the Warnock Foundation /The Baltimore Social Innovation Journal, and the Edna Bailey Sussman Foundation. We thank Jessica Sanders (Casey Trees), Paul Gobster, and Lindsay Campbell (USDA Forest Service, Northern Research Station) for their helpful comments that strengthened the paper. Gillian Baine (Saint Ann’s School) provided useful feedback on earlier versions of Figs. 2 and 3. We thank Michael Potts and Jim Woodworth (Casey Trees), and Jen Kullgren, Charlie Murphy, and Erik Dihle (TreeBaltimore) for providing data. Our greatest thanks go to those who actually requested or planted a tree. Because of them their neighborhoods are better places to live.
- ACTrees (2012) Benefits of Trees and Urban Forests–Alliance for Community Trees. http://www.actrees.org/files/Research/benefits_of_trees.pdf. Accessed 15 July 2013.
- Aragon, T. (2010). epitools: Epidemiology Tools. R package version 0.5–6. http://CRAN.R-project.org/package=epitools.
- Baltimore Sustainability Plan (2009). The Baltimore Sustainability Plan. http://www.baltimorecity.gov/Portals/0/agencies/planning/sustainability/public%20downloads/051509_BCS-001SustainabilityReport.pdf. Accessed July 6, 2013.
- Battaglia, M., Buckley, G. L., Galvin, M., & Morgan Grove, J. (2014). It’s not easy going green: obstacles to tree- planting programs in east Baltimore. Cities and the Environment (CATE), 7(2). http://digitalcommons.lmu.edu/cate/vol7/iss2/6.
- Bigsby, K., McHale, M., & Hess, G. (2013). Urban morphology drives the homogenization of tree cover in Baltimore, MD, and Raleigh, NC. Ecosystems.Google Scholar
- Braverman, I. (2008). “Everybody loves trees”: policing American cities through street trees. Duke Environmental Law and Policy Forum, 45(2008), 81–118.Google Scholar
- Brundtland GH, & World Commission on Environment and Development (1987). Our common future : report of the World Commission on Environment and Development. Oxford University. http://www.un-documents.net/our-common-future.pdf.
- U.S. Census Bureau (2012a). American Community Survey, 2008–2012 American Community Survey 5-Year Estimates, Table DP04; generated by redacted for anonymity; using American FactFinder; http://factfinder2.census.gov. 22 July 2014.
- U.S. Census Bureau (2012b). American Community Survey, 2008–2012 American Community Survey 5-Year Estimates, Table DP04; generated by redacted for anonymity; using American FactFinder; http://factfinder2.census.gov. 22 July 2014.
- City of Los Angeles (2007). Green LA: An Action Plan to Lead the Nation in Fighting Global Warming. City of Los Angeles, Los Angeles, CA. http://environmentla.org/pdf/GreenLA_CAP_2007.pdf. Accessed June 9, 2014.
- City of New York (2007). PlaNYC: A Greater, Greener New York. http://nytelecom.vo.llnwd.net/o15/agencies/planyc2030/pdf/full_report_2007.pdf. Accessed 15 July 2013.
- City of New York (2011). PlaNYC Update 2011: A Greater, Greener New York. http://nytelecom.vo.llnwd.net/o15/agencies/planyc2030/pdf/planyc_2011_planyc_full_report.pdf. Accessed 15 July 2013.
- R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.
- District of Columbia Urban Tree Plan (2013). District of Columbia Urban Tree Plan. http://ddoe.dc.gov/sites/default/files/dc/sites/ddoe/page_content/attachments/Draft_Urban_Tree_Canopy_Plan_Final.pdf. Accessed 6 July 2013.
- ESRI (2010). Tapestry Segmentation Reference Guide - Esri. http://www.esri.com/library/brochures/pdfs/tapestry-segmentation.pdf. Accessed 31 Oct 2013.
- ESRI. (2012). ArcMap 10.1. Redlands: ESRI.Google Scholar
- Forest Service Northern Research Station (2008) Urban Forestry Bibliography. http://www.milliontreesnyc.org/downloads/pdf/urban_tree_bib.pdf. Accessed 15 July 2013.
- Galvin, M. F., Grove, J. M., & O’Neil-Dunne, J.P.M. (2006). A Report on Baltimore’s Present and Potential Urban Tree Canopy. http://web.mac.com/jmorgangrove/Morgan/UTC-FOS_files/Baltimore UTC report FINAL.pdf. Accessed 9 June 2014.
- Gibbs, A., Stillwell, J.C.H., & See, L. (2010). A Geodemographic Classification of Primary Schools in London. Working Paper no. 10/09, School of Geography, University of Leeds http://www.geog.leeds.ac.uk/fileadmin/documents/research/csap/10-09.pdf.
- Gottdiener, M., & Hutchison, R. (1994). The new urban sociology. New York: McGraw-Hill.Google Scholar
- Governor O’Malley Signs Landmark Forest Legislation … (2013). http://news.maryland.gov/dnr/2013/05/02/governor-omalley-signs-landmark-forest-legislation/ Accessed 9 June 2014.
- Greenworks - City of Philadelphia (2009). http://www.phila.gov/green/greenworks/pdf/Greenworks_OnlinePDF_FINAL.pdf. Accessed 3 Feb 2013.
- Grove, J. M. (2014). Expanding the vision of the experimental forest and range network to urban areas. In D. C. Hayes, S. L. Stout, R. H. Crawford, & A. P. Hoover (Eds.), Expanding the vision of the experimental forest and range network to urban areas (pp. 631–652). New York: Springer.Google Scholar
- Grove, J. M., Cadenasso, M. L., Burch, W. R., Pickett, S. T. A., Schwarz, K., O’Neil-Dunne, J. P. M., & Wilson, M. (2006a). Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland. Society & Natural Resources, 30(19), 117–136.CrossRefGoogle Scholar
- Grove, J. M., Troy, A. R., O’Neil-Dunne, J. P. M., Burch, W. R., Cadenasso, M. L., Pickett, S. T. A., & O’Neil-Dunne, J. P. M. (2006b). Characterization of households and its implications for the vegetation of urban ecosystems. Ecosystems, 9(4), 578–597. doi: 10.1007/s10021-006-0116-z.CrossRefGoogle Scholar
- ICLEI (2009). What Is a Sustainability Plan? - ICLEI Local Governments for … Retrieved July 22, 2014, from http://www.icleiusa.org/action-center/planning/ICLEI_What%20Is%20a%20Sustainability%20Plan.pdf.
- Land Cover Baltimore 2007. (2009). Raster Dataset. Spatial Analysis Laboratory at the University of Vermont, Burlington, VT. http://gis.w3.uvm.edu/utc/Landcover/Baltimore_City.zip.
- Land Cover Washington, D.C. 2006. (2009). Raster Dataset. Spatial Analysis Laboratory at the University of Vermont, Burlington, VT. http://gis.w3.uvm.edu/utc/Landcover/Washington_DC.zip.
- Locke, D.H. (2014): Phake City. figshare. http://dx.doi.org/ 10.6084/m9.figshare.1057665. Retrieved 19:12, Jul 26, 2014 (GMT).
- Locke, D. H., Grove, J., Galvin, M. F., O’Neil-Dunne, J. P. M., & Murphy, C. (2013). Applications of Urban Tree Canopy Assessment and Prioritization Tools: Supporting Collaborative Decision Making to Achieve Urban Sustainability Goals. Cities and the Environment (CATE), 6(1). http://digitalcommons.lmu.edu/cate/vol6/iss1/7/.
- Logan, J. R., & Molotch, H. L. (1987). Urban fortunes: The political economy of place. University of California Pr.Google Scholar
- MacFaden, S. W., O’Neil-Dunne, J. P. M., Royar, A. R., Lu, J. W. T., & Rundle, A. G. (2012). High-resolution tree canopy mapping for New York City using LIDAR and object-based image analysis. Journal of Applied Remote Sensing, 6. doi: 10.1117/1.JRS.6.063567.
- Martin, C. A., Warren, P. S., & Kinzig, A. P. (2004). Neighborhood socioeconomic status is a useful predictor of perennial landscape vegetation in residential neighborhoods and embedded small parks of Phoenix, AZ. Landscape and Urban Planning, 69(4), 355–368. doi: 10.1016/j.landurbplan.2003.10.034.CrossRefGoogle Scholar
- Nassauer, J. I., Wang, Z., Dayrell, E. (2009) What will the neighbors think? Cultural norms and ecological design. Landscape and Urban Planning, 282–292.Google Scholar
- O’Neil-Dunne, J.P.M. (2009). A Report on the City of Baltimore’s Existing and Possible Tree Canopy. The Spatial Analysis Lab at the University of Vermont’s Rubenstein School of the Environment and Natural Resources. (p.5). http://www.fs.fed.us/nrs/utc/reports/UTC_Report_BACI_2007.pdf.
- O’Neil-Dunne, J. P. M., MacFaden, S. W., Royar, A. R., & Pelletier, K. C. (2012). An object-based system for LiDAR data fusion and feature extraction. Geocarto International, (June 2012), 1–16. doi: 10.1080/10106049.2012.689015.
- Plant One Million (2013). Plant One Million: 3 States. 13 Counties. 1 Tree at a time. http://www.plantonemillion.org/. Accessed 6 April 2013.
- Rae, R. A., Simon, G., & Braden, J. (2010). Public Reactions to New Street Tree Planting. Cities and the Environment (CATE), 3(1), 1–21. http://escholarship.bc.edu/cate/vol3/iss1/10.
- Rogers, E. M. (2010). Diffusion of innovations. New York: Simon and Schuster.Google Scholar
- Roy Chowdhury, R., Larson, K. L., Grove, J., Polsky, C., & Cook, E. M. (2011). A multi-scalar approach to theorizing socio-ecological dynamics of urban residential landscapes. Cities and the Environment (CATE), 4(1). http://digitalcommons.lmu.edu/cate/vol4/iss1/6/.
- Shanghai Roots & Shoots, 2009. Mtpchina.org. http://www.mtpchina.org/. Accessed 22 Oct 2013.
- Summit, J., & McPherson, E. (1998). Residential tree planting and care: a study of attitudes and behavior in Sacramento, California. Journal of Arboriculture, 24(2).Google Scholar
- The Mile High Million (2013). The Mile High Million: An Initiative of Greenprint Denver. http://milehighmillion.org/. Accessed 6 April 2013.
- Troy, A. R. (2008). Geodemographic segmentation. Encyclopedia of Geographical Information Science (347–355). New York: Springer-Verlag.Google Scholar
- United States Census Bureau (2011). “Table 1. Annual Estimates of the Resident Population for Incorporated Places Over 50,000, Ranked by July 1, 2011 Population: April 1, 2010 to July, 2011” (CSV). 2011 Population Estimates. United States Census Bureau, Population Division. Accessed August 4, 2012. http://www.census.gov/popest/data/cities/totals/2011/tables/SUB-EST2011-01.csv.
- Weiss, M. J. (2000). The clustered world: How we live, what we buy, and what it all means about who we are. New York: Little, Brown.Google Scholar