Table 1.

Estimates of total number of trees and standard errors from 14 cities analyzed using the UFORE model.z

CityNumber of treesYearNo. plots200 plotySamplex
Atlanta, GAw9,415,000749,0001997205758,000  8.1Str. random
Baltimore, MDv2,571,000494,0002004200494,00019.2Str. random
Boston, MAw1,183,000109,0001996217114,000  9.6Str. random
Freehold, NJu     48,000    6,0001998144    5,00010.1Str. random
Jersey City, NJu   136,000  22,0001998220  23,00016.7Str. random
Minneapolis, MNt   979,000165,0002004110122,00012.5Random grid
Moorestown, NJu   583,000  53,0002000206  54,000  9.3Str. random
Morgantown, WVs   658,000  79,0002004136  65,000  9.9Str. random
New York, NYw5,212,000719,0001996206729,00014.0Str. random
Philadelphia, PAw2,113,000211,0001996210216,00010.2Str. random
San Francisco, CAr   668,000  98,0002004194  97,00014.5Random grid
Syracuse, NYv   876,000119,0002001197119,00013.5Str. random
Washington DCq1,928,000224,0002004201224,00011.6Random grid
Woodbridge, NJu   986,000  97,0002000215100,00010.2Str. random
  • zAverage relative standard error = 12.1%.

  • yEstimated standard error (SE) and relative standard error (SE/total × 100; RSE) using a sample of 200 one-tenth acre (0.04 ha) plots.

  • xStr. random = stratified random sample; random grid = randomized grid sample.

  • wData collection by ACRT, Inc.

  • vData collection by U.S. Forest Service.

  • uData collection by New Jersey Department of Environmental Protection.

  • tData collection by Davey Resource Group.

  • sData collection by West Virginia University.

  • rData collection by city personnel.

  • qData collection by Casey Trees Endowment Fund.