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Research ArticleArticles

A Method for Characterizing Urban Forest Composition and Structure for Landscape Architects and Urban Planners

Joe R. McBride
Arboriculture & Urban Forestry (AUF) November 2008, 34 (6) 359-365; DOI: https://doi.org/10.48044/jauf.2008.049
Joe R. McBride
Joe R. McBride, Professor, Department of Landscape Architecture and Environmental Planning, University of California Berkeley, CA 94720-20003, U.S.,
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Data form (data from Yuthok Lam, and Lhasa).

  • Figure 2.
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    Figure 2.

    Cross-section sketch of Niti Marg and New Delhi.

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    Figure 3.

    Plan of Niti Marg and New Delhi.

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    Figure 4.

    Number of tree spacings observed and number of tree pit sizes observed in three cities in relation to number of samples.

Tables

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    Table 1.

    Frequency of occurrence by biome of the top three most commonly encountered tree species in each city.

    BiomeAverage frequency of occurrencezRange of average frequency of occurrencez
    Tropical forest25.6    38–13
    Broadleafed evergreen forest21.7    39–15
    Deciduous forest36.4    56–13
    Coniferous forest35.7    80–16
    Mixed deciduous–coniferous forest40.4    59–27
    Mediterranean woodland/scrub27.5    32–19
    Savanna29.2    24–14
    Grassland30.9    83–18
    Desert40.9    71–16
    Tundra55.0    91–6
    Highland33.7    67–21
    Average34.3    58.2–16.2
    • ↵zOf the three most commonly encountered street tree species in each city.

    • View popup
    Table 2.

    Modal tree spacing along boulevards (trees in medians) streets.

    Biome/cityBoulevardStreet
    Modal (m)Range (m)Modal (m)Range (m)
    Tropical forest
    Bangkok  7.56.5–8  6  4–13.3
    Rio de Janeiro12  13–20  7.5  3–13.3
    Singapore12    3–3310  5–26
    Broad-leafed evergreen forest
    Hong Kong10    8–13.3  4  3–8
    Sydney151512  5–20
    Tokyo  7.5    8–10  7.5  6–13.3
    Deciduous forest
    London121212  6–20
    New York12  10–13.3  7.5  8–14
    Paris11.5  10–13  6  5–6
    Coniferous forest
    Jacksonville12  10–13.3  7.5  3–13
    Seattle10.5    8–12  5  4–12
    Vancouver12    8–13.310  4–13
    Mixed deciduous–coniferous forest
    Beijing  2    2  5  2–6
    Moscow  6    2–8  6  2–8
    Stockholm  8.5    3–2010  8–18
    Mediterranean woodland/scrub
    Athens10    5–12  5  3–7
    Los Angeles15    6–40  5  5–12
    Tel Aviv20  12–2212  8–13.3
    Savanna
    Brasilia12  10–7210  5–16
    Lagos10.5    8–13.3  6  4–10
    New Delhi12    3–202010–20
    Grassland
    Buenos Aires12  1210  2–20
    Johannesburg23  10–2313.310–23
    Tehran  6    2–12  4  4–6
    Desert
    Cairo12    3–13,3  5  2–13.3
    Dubai11    5–16  6  6–8
    Phoenix15    6–33  6  6–16
    Tundra
    Murmansk  2    2–2.5  6  2–8
    NuukNANANANA
    ReykjavikNANA  6  2–10
    Highland
    Cusco13.3  10–14  5  3–10
    LashaNANA  5  4–6
    Quito15    5–42  7  5–18
    • NA = not applicable.

    • View popup
    Table 3.

    Modal boulevard median width and street tree well dimensions.

    Biome/cityBoulevard median widthStreet tree well
    Modal (m)Range (m)Modal (m)Range (m)
    Tropical forest
    Bangkok221.2 × 21 × 1–2 × 6
    Rio de Janeiro22–131 × 11 × 1–1 × 2
    Singapore552.5 × 2.52 × 6–2 × 3
    Broad-leafed evergreen forest
    Hong Kong221 × 11 × 1–1 × 22
    Sydney10101.2 × 20.6 × 0.6–1 × 2
    Tokyo1.51.5–6.51.5 × 1.51 × 1–1.5 × 2
    Deciduous forest
    London880.6 × 10.6 × 0.6–1 × 3
    New York22–3.51.2 × 20.6 × 1–2 × 3
    ParisNA5–8 NA2 (dia.)2 (dia.)
    Coniferous forest
    Jacksonville55–81.5 × 21 × 1–2 × 2
    Seattle32.5–3.51.2 × 1.21.2 × 1.2–1.2 × 2
    Vancouver32–31.2 × 21 × 1–1.2 × 2
    Mixed deciduous–coniferous forest
    Beijing11–1.51 × 11 × 1–3 × 3
    Moscow4012–40NANA
    Stockholm3.35–81 × 1.21 × 1–1.2 × 1.2
    Mediterranean woodland/scrub
    Athens13–71 × 10.5 × 0.5–1 × 1
    Los Angeles3.31.5–11NANA
    Tel Aviv1210–201 × 10.6 × 2
    Savanna
    Brasilia3.35–71 × 10.6 × 0.6–2.2 × 2.2
    Lagos22–3NANA
    New Delhi7.57.51 × 11 × 1–1.2 × 2
    Grassland
    Buenos Aires15151.2 × 1.21 × 1–2 × 2
    Johannesburg40.6–41 × 10.6 × 0.6–1.2 × 1.2
    Tehran22–3NANA
    Desert
    Cairo30.6–100.6 × 0.60.3 × 0.3–1.2 × 3
    Dubai63–10NANA
    Phoenix42.5–8NANA
    Tundra
    Murmansk7.57.5NANA
    NuukNANANANA
    ReykjavikNANA1 × 10.6 × 0.6–2 × 2
    Highland
    Cusco33–4NANA
    LashaNANANANA
    Quito330.3 × 0.30.3 × 0.3–1.2 × 1.2
    • NA = not applicable.

    • View popup
    Table 4.

    Relationship between the number of tree species reported and observed in eight cities using the method reported in this article.

    CityNumber of tree speciesPercent of reported
    ReportedObserved
    Bangkok127z3326
    New York127y6148
    Beijing170x3219
    Buenos Aires160w4025
    Dubai  85v3035
    Murmansk  16u1381
    Quito  25t1352
    • ↵zThaiutsa et al. 2000.

    • ↵yBamard 2002.

    • ↵xBeijing Annals Editor Board 2000.

    • ↵wValla 1999.

    • ↵vSharif 2003.

    • ↵uKazakov 1999.

    • ↵tGangotena et al. 1990.

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Arboriculture & Urban Forestry (AUF): 34 (6)
Arboriculture & Urban Forestry (AUF)
Vol. 34, Issue 6
November 2008
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A Method for Characterizing Urban Forest Composition and Structure for Landscape Architects and Urban Planners
Joe R. McBride
Arboriculture & Urban Forestry (AUF) Nov 2008, 34 (6) 359-365; DOI: 10.48044/jauf.2008.049

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A Method for Characterizing Urban Forest Composition and Structure for Landscape Architects and Urban Planners
Joe R. McBride
Arboriculture & Urban Forestry (AUF) Nov 2008, 34 (6) 359-365; DOI: 10.48044/jauf.2008.049
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  • Article
    • Abstract
    • BACKGROUND OF STUDY
    • METHOD
    • EXAMPLES OF DATA COLLECTED
    • HOW REPRESENTATIVE IS THE DATA COLLECTED BY THE METHOD?
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Keywords

  • Composition
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