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Research ArticleArticles

Urban Tree Growth Characteristics of Four Common Species in South Germany

Astrid Moser-Reischl, Thomas Rötzer, Stephan Pauleit and Hans Pretzsch
Arboriculture & Urban Forestry (AUF) July 2021, 47 (4) 150-169; DOI: https://doi.org/10.48044/jauf.2021.015
Astrid Moser-Reischl
Dr. Astrid Moser-Reischl (corresponding author), Chair of Forest Growth and Yield Science, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany, +49-8161-715409,
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Thomas Rötzer
Prof. Dr. Thomas Rötzer, Chair of Forest Growth and Yield Science, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany, +49-8161-714667,
Roles: Chair
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Stephan Pauleit
Prof. Dr. Stephan Pauleit, Chair for Strategic Landscape Planning and Management, Technical University of Munich, Emil-Ramann-Str. 6, 85354 Freising, Germany, +49-8161-714780
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Hans Pretzsch
Prof. Dr. Dr. Hans Pretzsch, Chair of Forest Growth and Yield Science, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany, +49-8161-714711,
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Selected cities and the measured individual trees across the cities. The background map of Bavaria, Germany shows the location and the climate (average precipitation in July) of the selected cities (Rötzer et al. 1997). The maps of the cities provide the sampling sites of the measured tree species: A. hippocastanum (brown), R. pseudoacacia (red), T. cordata (green), and P. × hispanica (blue)(ESRI 2019).

  • Figure 2.
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    Figure 2.

    Illustration of measured and calculated tree structural variables: diameter at breast height (DBH), tree height (TH), crown base height (CS), crown diameter (CD), crown length (CL), crown projection area (CPA), crown volume (CV), and tree pit.

  • Figure 3.
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    Figure 3.

    Allometric relationships based on diameter at breast height (DBH) for the development of tree height, crown projection area (CPA), crown diameter, crown length, crown volume, and leaf area index (LAI) of A. hippocastanum, P. × hispanica, R. pseudoacacia, and T. cordata, pooled for the 6 South German cities by regression. Regression coefficients are given in Table 3.

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    Figure 4.

    Development of tree height in m over diameter at breast height (DBH) in cm for the analyzed tree species A. hippocastanum, T. cordata, P. × hispanica, and R. pseudoacacia in Bayreuth, Kempten, Hof, Nuremberg, Munich, and Würzburg, generated with non-linear least square functions.

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    Figure 5.

    Development of tree height in m and crown diameter in m over diameter at breast height (DBH) in cm in Bayreuth, Kempten, Hof, Nuremberg, Munich, and Würzburg for the analyzed tree species A. hippocastanum, T. cordata, P. × hispanica, and R. pseudoacacia, generated with nonlinear least square functions.

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    Figure 6.

    Boxplots of diameter at breast height (DBH) distribution (upper row) and tree height distribution (lower row) of R. pseudoacacia, T. cordata, A. hippocastanum, and P. × hispanica grown at parks, squares, and streets for all cities pooled together. * : P < 0.05, ** : P < 0.01, *** : P < 0.001.

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    Figure 7.

    Circle plots of the average (a) unsealed area and (b) distance to a surrounding tree or building in 8 measured intercardinal directions in the categories city, species, and site, plotted with the average crown radius of all trees. The center of each circular plot refers to the tree location.

  • Figure S1.
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    Figure S1.

    Development of crown projection area (CPA) in m2 and crown volume (CV) in m3 over diameter at breast height (DBH) in cm for the analyzed tree species A. hippocastanum, T. cordata, P. × hispanica, and R. pseudoacacia in Bayreuth, Kempten, Hof, Nuremberg, Munich, and Würzburg, generated with nonlinear least square functions.

  • Figure S2.
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    Figure S2.

    Figure S2. Development of tree height in m, crown diameter in m, crown projection area (CPA) in m2, and crown volume in m3 over age in years for the analyzed tree species A. hippocastanum, T. cordata, P. × hispanica, and R. pseudoacacia in Bayreuth, Kempten, Hof, Nuremberg, Munich, and Würzburg, generated with nonlinear least square functions.

Tables

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    Table 1.

    Climate characteristics of the long-term mean (1965–2015) of the selected cities derived from DWD (2018).

    CityTemperature (°C)Precipitation (mm yr−1)Altitude ASL (m)
    Bayreuth8.4728340
    Hof7.5716491
    Kempten7.41,257674
    Munich9.6960519
    Nuremberg9.2634312
    Würzburg9.6599177
    • View popup
    Table 2.

    Mean values and standard deviation of age, diameter at breast height (DBH), tree height (TH), crown diameter (CD), crown length (CL), crown projection area (CPA), crown volume (CV), and tree pit, together with the sample size (n) of each species (A. hippocastanum, P. × hispanica, R. pseudoacacia, and T. cordata) in the chosen cities of Bayreuth, Hof, Kempten, Munich, Nuremberg, and Würzburg.

    nAge (years)DBH (cm)TH (m)CD (m)CL (m)CPA (m2)CV (m3)Tree pit (m2)
    A. hippocastanum59067.93 ± 31.950.1 ± 21.714.4 ± 4.79.7 ± 3.111.4 ± 4.481.7 ± 48.01,081.5 ± 927.8101.9 ± 105.3
    Bayreuth10262.8 ± 31.942.8 ± 19.915.0 ± 5.99.3 ± 3.611.7 ± 5.577.7 ± 56.11,147.1 ± 1,183.3136.7 ± 107.0
    Hof6553.4 ± 25.340.7 ± 18.112.3 ± 4.17.8 ± 2.69.1 ± 3.953.2 ± 33.0583.7 ± 546.4116.8 ± 100.7
    Kempten5560.8 ± 41.444.5 ± 28.912.6 ± 4.89.2 ± 3.610.0 ± 4.575.9 ± 52.6958.4 ± 997.5105.8 ± 94.1
    Munich23183.8 ± 24.663.3 ± 14.816.1 ± 3.511.0 ± 2.212.8 ± 3.499.4 ± 39.91,339.2 ± 780.132.7 ± 25.3
    Nuremberg6256.1 ± 31.941.2 ± 20.313.0 ± 4.49.1 ± 3.210.2 ± 4.272.9 ± 53.0917.3 ± 1,053.8170.7 ± 135.6
    Würzburg7553.7 ± 28.838.6 ± 19.313.0 ± 4.78.9 ± 2.810.3 ± 4.069.0 ± 43.1856.3 ± 789.3202.6 ± 102.0
    P. × hispanica44837.51 ± 20.237.1 ± 20.015.7 ± 5.211.2 ± 4.512.2 ± 5.1113.7 ± 88.21,759.8 ± 2,049.3285.1 ± 654.1
    Bayreuth10341.23 ± 23.140.8 ± 22.916.7 ± 5.712.1 ± 5.112.8 ± 5.7136 ± 104.22,232.1 ± 2,513.896.9 ± 91.4
    Hof3318.5 ± 6.918.3 ± 6.810.4 ± 2.46.0 ± 2.37.3 ± 1.831.9 ± 25.5264.8 ± 266.338.0 ± 64.9
    Kempten3929.1 ± 11.528.8 ± 11.414.0 ± 3.89.8 ± 3.110.7 ± 3.483.4 ± 48.11,028.1 ± 816.357.0 ± 57.3
    Munich11139.5 ± 20.639.1 ± 20.416.0 ± 4.911.6 ± 4.712.5 ± 5.2123.1 ± 95.91,983.5 ± 2,117.8874.7 ± 1,111.5
    Nuremberg8246.6 ± 21.146.1 ± 20.918.1 ± 5.511.9 ± 4.214.6 ± 5.5125.4 ± 89.22,192.5 ± 2,425.496.6 ± 114.0
    Würzburg7933.1 ± 12.637.3 ± 21.215.7 ± 4.611.9 ± 4.012.1 ± 4.3124.1 ± 87.51,836.6 ± 2,325.3116.3 ± 102.9
    R. pseudoacacia41239.5 ± 18.239.7 ± 18.314.5 ± 4.79.1 ± 2.910.7 ± 4.070.9 ± 44.8873.9 ± 816.5103.4 ± 102.1
    Bayreuth10039.6 ± 14.239.7 ± 14.215.7 ± 5.09.3 ± 2.211.4 ± 4.172.5 ± 32.4885.1 ± 625.1122.1 ± 106.8
    Hof1721.8 ± 13.621.9 ± 13.79.7 ± 3.36.1 ± 2.47.0 ± 2.831.0 ± 29.7280.8 ± 427.193.9 ± 85.8
    Kempten3839.3 ± 17.639.4 ± 17.614.4 ± 4.79.7 ± 2.811.4 ± 4.280.0 ± 39.21,027.8 ± 673.7127.2 ± 90.9
    Munich10635.5 ± 19.635.6 ± 19.813.9 ± 4.78.0 ± 2.89.6 ± 3.956.0 ± 36.3669.6 ± 640.699.2 ± 93.2
    Nuremberg6245.2 ± 15.145.4 ± 15.214.1 ± 3.89.5 ± 2.610.5 ± 3.276.2 ± 42.2878.4 ± 694.094.0 ± 101.1
    Würzburg8943.9 ± 20.444.1 ± 20.415.4 ± 4.710.0 ± 3.111.8 ± 4.186.3 ± 52.71,164.1 ± 1,072.1111.0 ± 118.0
    T. cordata55344.3 ± 21.833.0 ± 17.213.0 ± 4.58.1 ± 3.19.6 ± 4.158.7 ± 42.6705.8 ± 790.3321.7 ± 1,932.4
    Bayreuth10852.0 ± 29.638.8 ± 23.314.0 ± 6.18.7 ± 3.710.1 ± 5.570.7 ± 56.7944.4 ± 1,135.598.7 ± 96.9
    Hof6236.9 ± 14.227.4 ± 11.611.3 ± 3.36.8 ± 2.28.0 ± 2.939.9 ± 23.7372.3 ± 324.3567 ± 82.2
    Kempten6145.2 ± 18.233.7 ± 14.613.4 ± 8.98.3 ± 2.510.2 ± 3.459.6 ± 32.1698.9 ± 521.989.3 ± 104.9
    Munich15942.5 ± 19.331.4 ± 15.212.9 ± 4.17.6 ± 2.99.6 ± 3.752.3 ± 38.0617.3 ± 678.1877.5 ± 3,537.1
    Nuremberg7746.4 ± 21.734.5 ± 16.913.5 ± 4.38.7 ± 2.810.2 ± 3.865.3 ± 40.7806.6 ± 821.1106.4 ± 107.4
    Würzburg8641.0 ± 19.130.5 ± 15.312.2 ± 4.68.3 ± 3.19.3 ± 3.962.1 ± 42.8723 ± 725.6115.6 ± 101.5
    • View popup
    Table 3.

    Allometric relationships with intercept (a), slope (b), standard error (SE), residual standard error (RSE), R2, F-value, and P-value for A. hippocastanum, P. × hispanica, R. pseudoacacia, and T. cordata in South Germany to estimate tree height (TH), crown projection area (CPA), crown diameter (CD), crown length (CL), crown volume (CV), and leaf area index (LAI) over diameter at breast height (DBH)

    xyaSEbSERSER2FP
    A. hippocastanum
    DBHTH0.505510.050.555570.010.180.721,541< 0.001
    CPA−0.4770.101.230160.030.340.792,203< 0.001
    CD−0.117720.050.615080.010.170.792,203< 0.001
    CL−0.246450.070.683030.020.240.701,391< 0.001
    CV−0.723450.141.913190.040.490.822,594< 0.001
    LAI0.5372190.030.0764590.010.100.15104< 0.001
    P. × hispanica
    DBHTH0.790630.040.550530.010.140.822,047< 0.001
    CPA−0.82460.111.50460.030.370.842,296< 0.001
    CD−0.291540.060.75230.020.190.842,296< 0.001
    CL−0.0057590.060.6958410.020.200.781,625< 0.001
    CV−0.83040.142.200440.040.490.872,945< 0.001
    LAI1.007850.05−0.099010.020.180.0942< 0.001
    R. pseudoacacia
    DBHTH0.992910.080.457980.020.230.52451< 0.001
    CPA−0.163520.131.181440.040.400.711,005< 0.001
    CD0.035960.070.591910.020.200.711,012< 0.001
    CL0.261210.090.571880.020.250.58572< 0.001
    CV0.097670.171.752830.050.520.761,314< 0.001
    LAI−1.0880.090.427040.030.270.41285< 0.001
    T. cordata
    DBHTH0.591710.050.568540.010.180.751,670< 0.001
    CPA−1.08110.091.448020.030.320.863,286< 0.001
    CD−0.432020.040.727580.010.160.863,294< 0.001
    CL−0.198330.060.705490.020.240.731,478< 0.001
    CV−1.280420.132.153840.040.480.863,289< 0.001
    LAI0.12690.040.22810.010.140.43412< 0.001
    • View popup
    Table S1.

    Linear mixed model of the crown radius in m of all analyzed trees (response variable), with the individual tree code as random effect and fixed effects area of the tree pit related to the intercardinal direction factor.

    ParameterFixed effectValue ± SDP
    aIntercept4.02 ± 0.26< 0.001
    areaijTree Pit0.06 ± 0.02< 0.001
    directionNijDirection N−0.04 ± 0.060.01
    directionNEijDirection NE0.04 ± 0.060.06
    directionNWijDirection NW−0.08 ± 0.060.06
    directionSijDirection S0.05 ± 0.060.06
    directionSEijDirection SE0.15 ± 0.050.06
    directionSWijDirection SW0.04 ± 0.060.06
    directionWijDirection W−0.15 ± 0.060.06
    Random effect dij0.20-
    ε0.09-
    • Levels of direction: 8 (E, N, NE, NW, S, SE, SW, W).

    • SD (standard deviation).

    • View popup
    Table S2.

    Linear mixed model of the crown radius in m of all analyzed trees (response variable), with the individual tree code as random effect and fixed effects distance to next obstacle (trees and buildings) related to the intercardinal direction factor.

    ParameterFixed effectValue ± SDP
    aIntercept4.49 ± 0.27< 0.001
    distanceijDistance to obstacle0.001 ± 0.004< 0.001
    directionNijDirection N−0.08 ± 0.060.01
    directionNEijDirection NE−0.002 ± 0.060.06
    directionNWijDirection NW−0.13 ± 0.060.06
    directionSijDirection S0.10 ± 0.060.06
    directionSEijDirection SE0.14 ± 0.060.06
    directionSWijDirection SW−0.001 ± 0.060.06
    directionWijDirection W−0.18 ± 0.060.06
    Random effect dij0.31-
    ε0.10-
    • Levels of direction: 8 (E, N, NE, NW, S, SE, SW, W).

    • SD (standard deviation).

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Arboriculture & Urban Forestry (AUF): 47 (4)
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July 2021
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Urban Tree Growth Characteristics of Four Common Species in South Germany
Astrid Moser-Reischl, Thomas Rötzer, Stephan Pauleit, Hans Pretzsch
Arboriculture & Urban Forestry (AUF) Jul 2021, 47 (4) 150-169; DOI: 10.48044/jauf.2021.015

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Urban Tree Growth Characteristics of Four Common Species in South Germany
Astrid Moser-Reischl, Thomas Rötzer, Stephan Pauleit, Hans Pretzsch
Arboriculture & Urban Forestry (AUF) Jul 2021, 47 (4) 150-169; DOI: 10.48044/jauf.2021.015
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