Abstract
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;
| Original language | English (US) |
|---|---|
| Pages (from-to) | 117-136 |
| Number of pages | 20 |
| Journal | Society and Natural Resources |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2006 |
| Externally published | Yes |
Fingerprint
Keywords
- Baltimore
- Landcover
- LTER
- Remote-sensing
- Social structure
- Urban ecology
- Vegetation
ASJC Scopus subject areas
- Environmental Science (miscellaneous)
- Development
- Sociology and Political Science
Cite this
Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland. / Grove, J. Morgan; Cadenasso, Mary L.; Burch, William R.; Pickett, Steward T A; Schwarz, Kirsten; O'Neil-Dunne, Jarlath; Wilson, Matthew; Troy, Austin; Boone, Christopher.
In: Society and Natural Resources, Vol. 19, No. 2, 02.2006, p. 117-136.Research output: Contribution to journal › Article
}
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
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 - Landcover
KW - LTER
KW - Remote-sensing
KW - Social structure
KW - Urban ecology
KW - Vegetation
UR - http://www.scopus.com/inward/record.url?scp=30744454612&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=30744454612&partnerID=8YFLogxK
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 -