Appendix Table 2.

Urban tree mortality rates for repeated inventory studies of uneven-aged trees.

Time period t is years since planting. Rates were reported directly in the studies, except those with †, which were calculated using data provided in the study. When a range of mortality and time periods were reported, the maximum and minimum values were used in calculations.

CitationCity and stateSample type(s) and sample size (no)Time t (yrs)Annual mortality qannual (%)Study notes
Impens and Delcarte (1979)Brussels, BelgiumStreet trees
   1974 (75,653)
   1975 (80,493)
   1976 (82,374)
   1977 (81,581)
12.8
2.6
3.3
1.9
Dawson andUrbana, ILStreet trees (1768)501.1
Nowak (1986)Syracuse, NY
Syracuse and Rochester, NY
Street trees (1454)
Street trees (1160)
7
9
2.4
2.3
Paper also provides mortality rates for species, dbh, curbing, strip width, situation, adjacent land use, utilities, crown, ground disturbance, and condition.
Miller and Neely (1993)Champaign, ILStreet trees, campus and city parkways (98)51.5Trenched in 1987, annual growth and mortality data collected through 1991.
Hauer et al. (1994)Milwaukee, WIStreet trees102.3Compared survival of street trees damaged by construction to those not damaged during 1981-1985.
Hickman et al.Lodi, CAPark trees (695)71.28
Nowak et al. (2004)Baltimore, MDAll trees (1396)
Transportation (33)
Commercial/industrial (15)
Urban open (228)
High density residential (77)
Forest (728)
Low-medium density residential (136)
Institutional (4)
Barren (7)
26.6
20.2
10.6
8.2
6.0
5.9
2.2

0
0
Paper also provides mortality for dbh class, condition, and species.
Jim (2005)Hong Kong, ChinaHeritage trees in parks101.5Performed post-mortem assessments to explain possible relationships between predisposing factors and eventual tree loss.
Boyce (2010)New York City, NYStreet trees in pits
With stewardship
Without stewardship
> 40.49
1.9
Paper also provides mortality rates for new and established trees based on growing season.
Staudhammer et al. (2011)Houston, TXAll trees (305)84.7Paper also provides mortality rates for different size classes and a graph of average hurricane-related and non-hurricane mortality rates for these land use categories: developed low intensity, developed high intensity, developed open, woody wetlands.
Lawrence et al. (2012)Gainesville, FLAll trees (754)
Commercial
Forest
Institutional
Residential
3-49.97
3.12
5.41
19.2
9.12
Jack-Scot et al. (2013)New Haven, CTCommunity planted trees4-161.9-7.3
Lima et al. (2013)San Juan, Puerto RicoAll trees (244)930Paper provides a graph of average annual plot-level mortality rates for these land use categories: commercial/industry/institution/transportation, residential, vacant, mangrove forest, upland secondary forest.
Roman et al. (2014a)Oakland, CAStreet trees (995)53.7
Escobedo et al. (2016)Santiago, ChileUrban trees in inventory plots
   Broadleaf-deciduous (476)
   Broadleaf-evergreen (210)
   Conifer (43)
Palm (20)
12

2.99
2.98
3.29
2.92
Inventory of plots on different land use classes: residential, commercial/industrial, green areas, agriculture, transportation.
Martin et al. (2016)San Francisco, CAStreet trees
   Arbutus (135)
   P. cerasifera (136)
   P. serrulata (122)
17-2
2
1.2-1.5
1.1-1.5
2.0-2.6
Boukili et al. (2017)Cambridge, MAStreet trees (592)33.6This is the citywide annual mortality. Average street segment mortality is 6.7%.
Steenberg et al. (2018)Toronto, CanadaYard, street, public
ROW (806)
6-72.6-3.0
van Doorn and McPherson (2018)Claremont, CAStreet, 21 species (community-level)
(732)
141.03The stated 1.03% is the “community-level median removal rate.”