The Relationship Between Urban Leaf Area and Summertime Household Energy Usage

  • Ryan R. Jensen
  • James R. Boulton
  • Bruce T. Harper


Photosynthetically Active Radiation Urban Forest Electrical Usage Urban Forestry Leaf Area Index Measurement 
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  1. Aber, J.D. and J.M. Melillo. 1991. Terrestrial Ecosystems. Saunders College Publishing, Chicago.Google Scholar
  2. Calavita, N. 1997. “Vale of tiers.” Planning 63(3):18–21.Google Scholar
  3. Calavita, N. 1992. “Growth machines and ballot box planning. The San Diego case.” Journal of Urban Affairs 14(1):1–24.Google Scholar
  4. Chason, J.W., D.D. Baldocchi, and M.A. Huston. 1991. “A comparison of direct and indirect methods for estimating forest canopy leaf area.” Agriculture Forestry and Meteorology 57:107–128.CrossRefGoogle Scholar
  5. Calavita, N. and R. Caves. 1994. “Planners attitudes toward growth: A comparative case study.” Journal of the American Planning Association 60:483–500.Google Scholar
  6. Ellsworth, D.S. and P.B. Reich. 1993. “Caonpy structure and vertical patterns of photosynthesis and related leaf traits in a deciduous forest.” Oceologia 96:169–178.CrossRefGoogle Scholar
  7. Freilich, R. (1999). From Sprawl to Growth: Successful Legal, Planning, and Environmental Systems. Chicago: American Bar Association.Google Scholar
  8. Gatrell, J.G. and R.R. Jensen, 2003. “Growth through greening: developing and assessing alternative economic development programs.” Applied Geography 22:331–350.CrossRefGoogle Scholar
  9. Green, E.P., P.J. Mumby, A.J. Edwards, C.D. Clark, and A.C. Ellis. 1997. “Estimating leaf area index of mangroves from satellite data.” Aquatic Botany 58:11–19.CrossRefGoogle Scholar
  10. Jensen, J.R. 2000a. Remote Sensing of the Environment: An Earth Resources Perspective. New Jersey, Prentice-Hall.Google Scholar
  11. Jensen, R.R. 2000b. “Measurement, Comparison, and Use of Remotely Derived Leaf Area Index Predictors.” University of Florida, Thesis, 133p.Google Scholar
  12. Jensen, R.R., J.R. Boulton, and B.T. Harper. 2003. “The Relationship Between Urban Leaf Area and Household Energy Usage in Terre Haute, Indiana, USA.” Journal of Arboriculture 29(4): 226–230.Google Scholar
  13. Larcher, W. 1975. Physiological Plant Ecology. New York: Springer-Verlag.Google Scholar
  14. Lymburner, L, P.J. Beggs and C.R. Jacobson. 2000. “Estimation of canopy-average surface-specific leaf area using Landsat TM data.” Photogrammetric Engineering and Remote Sensing 66:183–191.Google Scholar
  15. Nel, E.M. and C.A. Wessman. 1993. “Caonopy transmittance models for estimating forest leaf area index.” Canadian Journal of Forest Resources 23:2579–2586.Google Scholar
  16. Nowak, D.J., M.H. Noble, S.M. Sisinni, and J.F. Dwyer. 2001. “Assessing the US urban forest resource.” Journal of Forestry, 99:37–42.Google Scholar
  17. Pierce, L.L. and S.W. Running. 1988. “Rapid estimation of coniferous forest leaf area index using a portable integrating radiometer.” Ecology, 69:1762–1767Google Scholar
  18. Weitz, J. (1999). Sprawl Busting: State Programs to Guide Growth. Chicago: APA Planners Press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ryan R. Jensen
    • 1
  • James R. Boulton
    • 1
  • Bruce T. Harper
    • 1
  1. 1.Department of Geography, Geology & AnthropologyIndiana State UniversityTerre Haute

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