2006 BES Annual Meeting Presentation and Poster Abstracts
Predicting Opportunities for Greening and Patterns of Vegetation on Private Urban Lands
Co-Authors: Austin Troy, Morgan Grove, Jarlath O'Neil-Dunne, Mary Cadenasso, Steward Pickett
Abstract: We examined predictors of vegetative cover on private lands in Baltimore, MD and used high-resolution spatial data to generate two measures: “possible stewardship,” which refers to the proportion of private land that does not have built structures on it, and hence has the possibility of supporting vegetation; and “realized stewardship,” which refers to the proportion of possible stewardship land upon which vegetation is growing. These measures were generated at the parcel level for private residential land and averaged by US Census block group. Realized stewardship was further defined by proportion of woody vegetation and grass. Data about expenditures on yard supplies and services by block group were used to help better understand where current vegetation conditions appear to be the result of current activity, past legacies, or abandonment. PRIZM™ market segmentation data were first tested as predictors of possible and realized stewardship and yard expenditures at the block group level. PRIZM™ segmentations are hierarchically clustered into 5, 15, and 62 categories, which correspond to population density, social stratification (income and education), and lifestyle clusters, respectively. We found that PRIZM 15 best predicted variation in possible stewardship and PRIZM 62 best predicted variation in realized stewardship. These results were further analyzed by regressing each dependent variable against a set of continuous variables reflective of each of the three PRIZM groupings. Housing age, vacancy, and crime were found to be critical determinants of both stewardship metrics.