期刊
URBAN FORESTRY & URBAN GREENING
卷 27, 期 -, 页码 363-372出版社
ELSEVIER GMBH, URBAN & FISCHER VERLAG
DOI: 10.1016/j.ufug.2017.03.030
关键词
Urban tree canopy (UTC); Neighborhood stability; Spatial lag regression; GIS
资金
- National Science Foundation [DEB-1027188]
- DC-Baltimore ULTRA-Ex (DEB) [0948947]
- USDA Forest Service Northern Research Station [11-JV-11242309-116]
- Edna Bailey Sussman Fund
- Libby Fund Enhancement Award
- Pruser Fellowship from Clark University
Trees provide important health, ecosystem, and aesthetic services in urban areas, but they are unevenly distributed. Some neighborhoods have abundant tree canopy and others nearly none. We analyzed how neighborhood characteristics and changes in income over time related to the distribution of urban tree canopy in Washington, D.C. and Baltimore, MD. We used stepwise multiple regression analysis to identify strong predictors of UTC, from variables found in neighborhoods with different patterns of wealth-stability over time. We then built spatial lag models to predict variation in UTC cover, using the results of a Principal Component Analysis of the socioeconomic, demographic, and housing characteristics of the two cities. We found that: (1) stable-wealthy neighborhoods were more likely to have more, and more consistent, tree canopy cover than other neighborhood types; (2) decreases and increases in income were negatively associated with UTC in Washington, D.C. but not Baltimore, where income stability in both wealthy and impoverished neighborhoods was a significant predictor of UTC; and (3) the association of high socioeconomic status with UTC coverage varied between the two cities.
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