Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland

J. Morgan Grove, Mary L. Cadenasso, William R. Burch, Steward T A Pickett, Kirsten Schwarz, Jarlath O'Neil-Dunne, Matthew Wilson, Austin Troy, Christopher Boone

Research output: Contribution to journalArticle

99 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)117-136
Number of pages20
JournalSociety and Natural Resources
Volume19
Issue number2
DOIs
StatePublished - Feb 2006
Externally publishedYes

Fingerprint

social structure
vegetation structure
urban forestry
forestry
vegetation cover
information system
urban area
spatial resolution
regime
remote sensing
ecosystem
vegetation
management
community
method

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 journalArticle

Grove, JM, Cadenasso, ML, Burch, WR, Pickett, STA, Schwarz, K, O'Neil-Dunne, J, Wilson, M, Troy, A & Boone, C 2006, 'Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland', Society and Natural Resources, vol. 19, no. 2, pp. 117-136. https://doi.org/10.1080/08941920500394501
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. / Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland. In: Society and Natural Resources. 2006 ; Vol. 19, No. 2. pp. 117-136.
@article{a2b50f1f95da4407b4c9449dde2389b3,
title = "Data and methods comparing social structure and vegetation structure of urban neighborhoods in Baltimore, Maryland",
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;",
keywords = "Baltimore, Landcover, LTER, Remote-sensing, Social structure, Urban ecology, Vegetation",
author = "Grove, {J. Morgan} and Cadenasso, {Mary L.} and Burch, {William R.} and Pickett, {Steward T A} and Kirsten Schwarz and Jarlath O'Neil-Dunne and Matthew Wilson and Austin Troy and Christopher Boone",
year = "2006",
month = "2",
doi = "10.1080/08941920500394501",
language = "English (US)",
volume = "19",
pages = "117--136",
journal = "Society and Natural Resources",
issn = "0894-1920",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

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 -