TY - JOUR
T1 - Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland
AU - Grove, J. Morgan
AU - Cadenasso, Mary L.
AU - Burch, William R.
AU - Pickett, Steward T.A.
AU - Schwarz, Kirsten
AU - O'Neil-Dunne, Jarlath
AU - Wilson, Matthew
AU - Troy, Austin
AU - Boone, Christopher
N1 - Funding Information:
We would like to thank the U.S. Forest Service’s Northeastern Research Station and the National Science Foundation for their support of the Baltimore Ecosystem Study, Long-Term Ecological Research project (NSF DEB-9714835). We would also like to thank the Maryland Department of Natural Resources’ Forest Service, The City of Baltimore, Space Imaging, LLC, and The Parks & People Foundation for their generous contribution of data and expertise to this project. This paper has benefited from insights gained through interactions with generous collaborators, students, and community partners from Baltimore since 1989. Two anonymous reviewers, Ted Gragson, and Rick Krannich provided constructive comments and suggestions that greatly improved the paper.
PY - 2006/2
Y1 - 2006/2
N2 - Recent advances in remote sensing and the adoption of geographic information systems (GIS) have greatly increased the availability of high-resolution spatial and attribute data for examining the relationship between social and vegetation structure in urban areas. There are several motivations for understanding this relationship. First, the United States has experienced a significant increase in the extent of urbanized land. Second, urban foresters increasingly recognize their need for data about urban forestry types, owners and property regimes, and associated social goods, benefits, and services. Third, previous research has focused primarily on the distribution of vegetation cover or diversity. However, little is known about (1) whether vegetation structure varies among urban neighborhoods and (2) whether the motivations, pathways, and capacities for vegetation management vary among households and communities. In this article, we describe novel data and methods from Baltimore, MD, and the Baltimore Ecosystem Study (BES) to address these two questions. Copyright;
AB - Recent advances in remote sensing and the adoption of geographic information systems (GIS) have greatly increased the availability of high-resolution spatial and attribute data for examining the relationship between social and vegetation structure in urban areas. There are several motivations for understanding this relationship. First, the United States has experienced a significant increase in the extent of urbanized land. Second, urban foresters increasingly recognize their need for data about urban forestry types, owners and property regimes, and associated social goods, benefits, and services. Third, previous research has focused primarily on the distribution of vegetation cover or diversity. However, little is known about (1) whether vegetation structure varies among urban neighborhoods and (2) whether the motivations, pathways, and capacities for vegetation management vary among households and communities. In this article, we describe novel data and methods from Baltimore, MD, and the Baltimore Ecosystem Study (BES) to address these two questions. Copyright;
KW - Baltimore
KW - LTER
KW - Landcover
KW - Remote-sensing
KW - Social structure
KW - Urban ecology
KW - Vegetation
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U2 - 10.1080/08941920500394501
DO - 10.1080/08941920500394501
M3 - Article
AN - SCOPUS:30744454612
VL - 19
SP - 117
EP - 136
JO - Society and Natural Resources
JF - Society and Natural Resources
SN - 0894-1920
IS - 2
ER -
